Alright, so we have our first presenter, UM, Kitty Ewing.
I think I said it right.
The benefits of technology in medical coding.
Are you ready?
Umm, yeah, kind of.
I don't know how to share my screen though.
Ohh OK.
In the teams screen, if you go by there's a share screen.
There's a square above with the up arrow and it says share.
And if you have any audio on your presentation then you need
to also say OK to computer audio.
OK.
I hope that helped.
Maybe I don't know if you guys can see my screen.
Not yet.
If you click on that share it will ask you how you wanna
share.
So you could say entire screen and then click on the entire
screen and then.
It should bring it up. Oh.
Sounds good.
Ohh, we saw your desktop so.
Yes, there you go.
All right.
Perfect.
I'm.
I'm gonna tell you about the benefits of technology and
medical coding.
I'm gonna.
We're gonna talk about medical coding before, which was
paperwork.
Medical coding.
Now the electronic the medical billing will be explained.
Ben was paper and now it's like Tronics digital technology and
healthcare AI encoding 7 key benefits of technology.
And then the conclusion.
Medical coding.
What is it?
It is the process of taking patients diagnostic and
treatment notes and converting them into correct alphanumeric
codes for accurate billing and record keeping.
For instance, if you go in for.
Abdominal biological findings in specimens.
The code would be R8 7.62.
If you put any other code it could mean any other numbers or
letters.
It could be anything else.
If you add a zero to it, it'll be become atypical.
Squeamish cell of undetermined significance in crypto logical
smear?
Just one digit changes it all.
The different types of coding are the current procedural
codes, also known as CPT Healthcare.
Common procedural procedure coding system.
The HP HCPCS, also known as Hicks **** Hicks picks.
Then there's the International Classification of Disease and
the 10th revision procedure coding system, also known as I
CD10 PCs and then the clinical modifications.
I CD10CM you have to use all these different codings when
coding medical terminology.
One is for procedures.
What they're being used for, the other one tells you what was
what.
It was the procedure was for, and it's a whole lot of extra
work.
Medical coding way back when was paperwork.
Paperwork was done manually.
You had to flip through the books.
Every single one search down every term and that took hours
and hours to do paperwork increased.
If the insurance company denied payments or procedures due to
coding errors or billing errors, which happened quite frequently
because people would accidentally push the wrong
button and not, I mean put a wrong right a wrong number and
that insurance companies would deny claims.
Quickly.
Because of the small, just a tiny little error, it was time
consuming manually going through the books.
It wasn't until the 2000s when things went digital.
Medical coding now is it electronic now?
Medical coding and billing has improved greatly because they
were they have software referred to as an encoder they can use to
easily find the proper codes to use with fewer denied claims.
The software flags improper coding that suggests to the
coder and alternative one to use software as the EM R Code link
online or medicore.
AI and coding how does AI impact coding medicine?
I mean machine learning algorithms can analyze large
amounts of medical data.
It pulls the medical terminology out of the medical files and
translates it for you.
So you don't have to spend the hours looking through the books.
It assists in accurate coding.
It flags potential errors and inconsistency, enhances
accuracy, reduces billing.
Discrepancies improve the efficiency of revenue cycle
management.
Medical billing.
What is medical billing?
It's the process, after all.
The coding is complete.
The process of generating correct patient claims or
invoices based on the coding and sending it to the insurance
companies for payment insurance companies will approve or deny
claims based on the codes being used.
The billing process begins as soon as you set up your doctor's
appointment.
Medical billing, then, was all the same as the bed medical
coding, paper, paper, and more paper.
More opportunities for clerical errors due to paper records and
correct medical codes for billing and manual submissions
of bills via mail or fax.
So it took longer for claims to be approved or denied.
Medical billing.
Now the benefits of technology and medical billing are lowered
cost and reduced revenue cycle times between patient care and
payments it they there is a efficiency and time saving
accuracy and coding electronic claim submissions improve
revenue cycle management, error reduction, enhanced data
security and real time eligibility verification.
Body verification.
Digital technology and healthcare.
Pros indigital technology, data collections, research, medical
billing and coding, remote monitoring.
Compliance with health care regulations and a timely
diagnosis and treatment.
The biggest advantage is saving time, reducing paperwork,
removing any errors that can affect the entire medical
process.
The cons are I didn't get that far right down, but the cons
are.
If you put in wrong codes, you still had it still time
consuming because you have to build back and forth emails and
everything with the other people.
It's still time consuming, but not as much.
And look conclusion is.
The impact of modern technology on medical billing and coding is
clear.
Some has proven.
On medical billing and coding has proven its benefits and will
continue to do so through automation.
Accurate coding and compliance tools technology has streamlined
and improved these critical process outsourcing medical
billing to specialize service providers, leverages and
advanced advanced technology expertise leading to enhanced
revenue cycle management, reduce costs and improved operational
efficiency.
Has technology continues to advance the futures of medical
billing and coding holds great potential for further
optimization with the integration of AI and adaptions
to support telehealth services.
Nice presentation, Tabitha.
Thank you.
Anybody have questions for her?
Yeah, it's a coding is not very easy to do.
I thought about doing that one time, but I end up doing trans
medical transcription now.
That was impossible for me because of the doctors that were
we talking were mumbling.
Half the time I didn't know what they were you're saying.
And I just gave up, couldn't do it.
It's tedious.
I don't like it either.
I'm actually after I graduate in two more weeks.
I'm gonna go become an EMT instead.
Ah, I understand that. Yeah.
Like more hands on sitting in front of the computer is not my
thing.
Yeah.
Well, you find that out pretty fast after you get involved in
it going.
Uh.
Maybe this is not what I want to do, Yep.
Well, I have two little kids too, so it's hard to be on a
computer around them.
Ohh yes, definitely because they want your attention.
Mom.
Yep.
Yep, I know how it is.
Well, I don't because I'm not a mother, but I have a dog.
She does the same thing.
Umm.
So she wants my attention when I'm do my meeting.
So she's outside right now. All right?
Mine are over stairs.
Yeah, got it.
So if there's no other questions for Tabitha, we have our next
speaker tonight.
Ohh is it fully?
I'm not sure if I'm seeing it right.
I'm so sorry.
Tools and sites to develop programming skills.
Hi, yeah.
Maybe you can let me know about how do you pronounce your name.
I'm sorry.
So the pH make a F sound, so it's like FOE like enemy.
Yeah.
So just foul yeah.
Or like 4.
Ohh OK Ohh OK I I wasn't sure and I took a guest.
It's alright, it's OK.
I'm so sorry, but I'll go ahead.
You have the floor, you have the floor.
Yeah, of course.
Let me just how do I present again?
Uh, you would in the team teams screen, there's a box that has
an up arrow and it says share, yes, there you go.
Dave, I see it.
Yes.
Alright, I do apologize.
I do have a wide screen, so it might be small for some people.
Umm, alright anyway.
So yeah, my topic is about tools inside to develop programming
skills and this topic is just to help people improve their
programming skill, whether they are somebody new to programming
or somebody that been in the programming or technology world
for a while.
So yeah, the presentation goal is informing new and experienced
programmer how to achieve that programming skill and then
discuss active code usage of AI tools and programming.
Some of the topic I will be discussing today our website to
help develop programming skills.
Way to practice those skills.
Some IDE recommendation and AI tools to help in development.
All right.
So starting off, these are some website that is for entry level
and if you are new to programming I would always
highly recommend Connor Cademy because it's a great fundamental
space for you to learn programming and it's teaches you
more on how computer communicate with each other rather than
actual programming language.
It does has a Python course in it.
And it also does provide extra resources like to other website
after you're done learning from Khan Academy.
And then after that, if you are gonna be a casual learner, I
would recommend you Demi just because this is a side not only
focus on programming skill but can be something form for the
graphy to marketing just any useful life skills.
And this does allow you to just learn at your own pace.
Umm.
Throughout, whenever you want and then lastly, I would
recommend the course server.
I'm not sure if I'm saying that way, but this is a great place
to take courses and also find a new career.
In fact, it's more of like a search engine that allows you to
find a degree or certificate.
And that with that being said, if you are gonna be.
Like once you Start learning the fundamental and want to learn
more specific programming language, this is gonna be the
slide which alright.
So the first one is web development.
If you all want it to be into web development, I recommend
that Owen project.
It will give you like the foundation of what development a
course that you can take by yourself and it is open source.
So it is free.
It gives you the ability to learn CSS, HTML, JavaScript and
Ruby.
Second, I would recommend Code Academy for any other languages,
and including AI Codecademy.
It does.
You do have to pay for it.
I'm not too sure if this is student feature, but you should
look into that if you want to go to code Academy and it also
provide future career path plus certificates and then the third
one will be holding for coding syntax.
Once you learn coding, once you learn a programming language,
you might need to refresh your memory and stuff like that.
So the three is a great place to not only find how to code, but
like look at the syntax, exercise and certificates can be
obtained from there as well.
And then lastly, once you experience and you are like far
beyond the beginner coding.
I guess experience you might wanna try Udacity.
It is quite expensive, but this is for like advanced programmer
and it is to learn umm we are world, IT career such as cloud
computing, business analytics, data science and etcetera.
And these are some notable website that I didn't really get
into detail, which you can still use.
So Scriba is a subscription based web development and AI
learning tool.
Edu X is a great place to find degree certificate and a place
to also find a coding boot camp which not a lot of the other
side would be sent solo.
Learn is a $6 per month subscription for web
development.
Java, Python And the unique part about this one is it's like a
Duolingo like environment.
Allison is a great place for a gay gaining certificate and free
courses, and also it's a type of.
Umm.
An open source society university developed from GitHub
and it's more like a diamond in the worth.
Just because it's allow you to complete like a three year
courses.
Uh for free inside GitHub anyway, this is all the website
I listed based on the price.
What you can learn from them, and the unique benefit I'm just
gonna leave this up for like 7 more second if anybody wanna
take a screenshot.
Already.
So once you Start learning all these programming skills, there
are some way that you want to pack this.
So that's slide would be going over the gamified way.
So it's more generally as an entertainment and a way to
practice code.
And I just want to say all not all these are kind of mad for
anybody in this presentation like starting off the first
one's code monkey is for people age 5 and four.
I think it's a great place for kids to Start learning
programming, so if you guys have kids that are around that age,
that's a great place to start.
Similarly for code.org.
It's a place for middle school and high school to get online
courses material and and the educator can also use this place
to find material for the students.
But lastly, a little bit more advanced on in general, anybody
can use this as Cold War.
Is it interactive learning environment and it's great for
learning syntaxes which support a variety or supported language
so it can.
It ranges from Python, Java, JavaScript to all language to.
There was a lot more.
That's dead.
So while those are the gamified version, this is the one that I
truly recommend.
1st is Lee code.
Lee code is great for coding for an interview, and the more you
practice and Lee called the more comfortable you will be in your
programming skill.
While everything in leak code is free, if you want to get the
premium version, it does contain cloud storage, video solution
and a debugger which none of them are needed for you to
actually pactice your code.
They are just like premium status for you and just nice
little too for you to have.
Lastly, Lee Code has a lot of challenges, so if you don't a
confused or overwhelmed by those, you can try the website
need code dot IO which lists umm I like have it provide a curated
list for leak code from easy to hard.
And then my second recommendation is try happy and
everybody from the Cyber Department team, Umm,
Cybersecurity department, team Audi are aware of this.
They it's a great person.
Nice hacker ball.
Umm.
Place for you to learn.
Just type of security tools and stuff.
It provides module learning path and not working towards other
careers in cybersecurity.
And then next slide would be talking about some IDE.
The first IDE I wanted to talk about is anything from Jet brain
product such as PyCharm.
Webstorm, Rubymine and Intellij.
These are all great powerful IDE which allows you to compute umm
their Pacific language in a like strong environment and just
allows a lot of personalization for that computer language.
The second IDE I will recommend is the Visual Studio code.
It allows you to have multiple IDE just in one software.
So if you want like if you're not trying to install multiple
program into your computer, this is probably the one that you
should get and then some other notable IDE is is clips Visual
Studio which not to be confused with Visual Studio code and Net
Brains from Apache.
OK.
And for the final few slides, I will be talking about some AI on
Tuesday.
You can that can help you in programming and these are like
just some concern when using AI with programming.
1st is that AI might hinder the ability for you to think
critically.
So when using AI, you don't really want to ask them how to
program your whole ones program.
So, for example, if you're making a blackjack game, you
want an ask the AI to create the whole blackjack game for
yourself, because this will just instantly create a whole game
and in a sense like you won't be learning anything, it get
practices like to make a I like SA I simple questions that you
get stuck on, such as if you wanna make a deck like in Python
or something.
That's why you can learn how to make the deck, but also still
work on the program.
Finally, AI, as in a 2 that you should fear it.
It is something that exists and is is definitely something of
the future, so AI is like something.
It's like your partner.
So yeah, you have to use it eventually, especially in the
technology world that we are in and it's just the way you use it
is how it will affect you.
Alright, so the first AI I'm going over as Google, Gemini and
Google Gemini is a new API.
It's a powerful AI.
It's purpose is to understand text, images, audio and video.
Some of the benefit is that it's able to be able like use as a
Q&A as a visualizer.
And it is also integrated into other Google products like
Google Docs, PowerPoints, Google AI.
Pneum is $20.00 per month.
If anybody wanna try Google Gemini.
The second AI am I wanna go over is Microsoft copilot and
similarly to Google Gemini this is an integrated AI but it works
with Microsoft App and the neat thing about this one is some of
like this AI is already installed in some people
computer but it also exists as a sidebar.
So while you are opening something, you can just click on
it and then it will appear on the side.
To attain this you can easily log into your Microsoft account
and download it, and finally the last day I wanted to talk about
is GitHub copilot and this one is really unique as it is
dedicated for programmer.
It increases productivity and efficiency because it allows
wheel time.
Suggestion.
It also allows you to chat with the bot in the IDE.
Umm but yeah, so the best way to obtain this.
Well, first you can pay $10.00 per month to get it, or you can
get it.
Do your Purdue global email So what you do is you go to GitHub,
you signed up, you put your Purdue global email and before
they allow you to get it, you need to do a F2A you need to put
in your building address and you need to have a proof of
confirmation that you are student.
The proof of confirmation for what I use is just some of my
documents I had for my billing in Purdue.
And that's about it.
This is some of the reference I have.
All right.
Any question, comment and consent?
Good job.
Thank you.
Very thought out.
Uh, looks like you have.
Hey I had one question if you don't mind.
Yes.
I just had a question on what what do you think is the best?
Umm.
Programming programming language to start with because I
personally know C sharp, but I think I've heard that Python is
probably the easiest to start with.
OK.
Umm, throughout my research I did found that.
There was two main language that is used throughout the world,
like the biggest one versus JavaScript, and the second is
Python.
So any like maybe a web and it really depends on what you're
trying to do or you're trying to learn web development or you're
trying to learn like some other scale.
But generally, Python is a great one just because it can be
universal in any single skills that you might come across.
OK.
Yeah, I was just curious if that was the only question that I
had.
Uh, thank you.
Alright.
Any other questions?
I.
Then I'm a mute myself and shout out to Kyle for telling me some
of the.
AI tools for my project.
No worries, man.
Glad, glad it worked out.
Cool.
Yes.
So when you have someone to collaborate and help, but
questions I've done it.
Now what?
Nothing wrong with that.
OK, we have another speaker, Trevor, ethics and authenticity
using AI as a tool.
Are you ready?
Yeah.
Yep.
Perfect.
Can you hear me?
Yes, go ahead.
This will be a good transition.
I feel like with the previous presentation.
Alright, I'm sharing my screen.
Can you see it?
Yes.
Alright.
So tonight I'll be discussing the intelligence and ethical
considerations and necessary and working with artificial
intelligence.
In this presentation, we will briefly investigate the
following concerns and principles involved with
artificial intelligence and many of the overseeing problems in
developing and utilizing this technology.
Alright, artificial intelligence is the field of computer science
dedicated to creating machines capable of performing tasks that
typically require human intelligence.
This broad definition encompasses various aspects
including machine learning, reasoning, and problem solving.
The concept of artificial intelligence traces back to the
1950s, with Alan Turing's computing machinery and
intelligence, which introduced the Turing test, demonstrating
machines ability to exhibit human like intelligence.
Uh John McCarthy went on to further develop this concept and
his work coining the term artificial intelligence in 1956.
Overtime, technological advancements have led to the
exponential growth in machine capabilities and computing
power.
This progress has given rise to various AI tools and
technologies, including large language models like the ones
previously mentioned, and like chat, GPT, copilot all that
stuff and advanced data analytics as well, which are
widely utilized.
With these advancements, there's a growing discourse surrounding
the ethical and social implications of artificial
intelligence.
The rapid advancement in widespread application have
raised significant ethical concerns, which encompass
various aspects, including the uses of AI, privacy and
security, large corporations controlling access, bias
mitigation, data protection and ethical training of AI systems.
As artificial intelligence becomes more prevalent, there
are concerns about how technology may affect an
individual's rights, freedoms, and opportunities.
The dominance of large corporations and the development
and deployment of AI raises concerns about access and
control with powerful computing capabilities required for
development.
Smaller entities and individuals may be at a disadvantage,
leading to concerns about the concentration of power and
influence in the hands of few corporations.
Transparency and accountability in the use and governments
governance of AI systems are crucial to ensure ethical
practices and prevent potential misuse of misuse of these
technologies.
Bias mitigation is another significant ethical concern, and
development systems trained on bias and or incomplete data sets
may perpetuate or amplify existential society.
Societal biases leading to unfair or discriminate
discriminatory outcomes.
Addressing bias requires careful attention to data set selection,
algorithm design, and ongoing monitoring to identify and
mitigate biases.
The public discourse surrounding the filtering of content
generated by AI models highlighted highlights the
ethical considerations related to the spread of certain
information.
There are debates about what content should be filtered out
to prevent the spread of or the spread of harmful or misleading
information.
Balancing considerations of free speech with the need to prevent
harm.
Ethical AI development involves considering the potential
impacts of AI generated content and implementing mechanisms to
identify and address harmful or inappropriate content.
Additionally, the monitoring of human behavior using AI raises
concerns about individual privacy and security.
AI systems capable of analyzing and interpreting human behavior
may intrude upon individuals privacy rights and reshapes
societal norms around surveillance and consent.
Ethical considerations include ensuring transparency, informed
consent and safeguards against misuse or abuse of personal data
collected through AI monitoring systems.
Addressing these ethical concerns requires collaboration
among stakeholders, including researchers, developers,
policymakers and civil organizations.
Umm here I just have a video that kind of elaborates on the
ethics of artificial intelligence.
Umm this video is created by the United Nations.
Education.
Educational, scientific and cultural organization.
Let me know if you guys can hear it.
I think so.
Do you use any navigation application to go through
traffic jams?
What happens when you Scroll down through your social media
feed?
Do you follow any recommendation that any streaming service might
view?
So by the day we know there, but do we actually understand what
is going on in?
Can we trust the output of those applications?
Today the appropriate type again to these kinds of technologies
is saying, well, consumers can configure this out on their own.
They read sensing decisions on their website.
They can choose not to participate.
Insert that digital environment, but increasingly.
And Trevor, can you meet your mic, please?
Forms a part of our lives.
They are part of the way that we provide education.
They are part of the way that we look for jobs and that power
imbalance cannot be addressed by simply giving consumers more
information or giving them individual rights of complaint.
What we're ultimately going to have to do if we're going to
change the kind of structural ways in which these technologies
are designed is to push the responsibilities back on our
designers back on the organizations who are relying on
technologies to change their practices.
Technologies like artificial intelligence have the potential
to empower people and to broaden their perspectives.
Or they can widen inequalities and really don't contribute to
address our societal challenges.
But we cannot blame the technologies.
It's not about the technologies, it's about us developing the
framework, shaping the rules that will allow these
technologies to deliver to what we want them to achieve, and we
need to make sure that we embed those very important ethical
principles, the protection and promotion of human rights and
human dignity, that would, at the end, determine the outcomes.
Responsible governance of AI technologies without the buy in
of big tech and other companies is impossible.
It is necessary for us to find ways in which to explain to them
that ethics is not about abstract principles.
Ethics should be bottom up.
It is a dynamic system.
It should enable innovation and in the end, lead to trust in
products of these companies, which would lead to success in
terms of what ever their business aims are.
We see how ethical debates and they're playing an important
role in shaping the conversation of AI regulation.
Over the last five years, we saw a plethora of Charters,
declaration of AI, ethical principles.
We are seeing right now that those principles are being
applied on a very practical basis.
A lot of countries in Latin America have already come up
with their national strategies on artificial intelligence, but
some countries in the region are going a step further.
They are actually regulating through hard law some of the
principles of artificial intelligence.
In the European Union, we're looking at draft AI acts in the
US, Congress is starting to talk in great detail about monopoly
power of technology companies, and you can see the wheels
turning across the world as countries move from awareness.
Raising two strategy to attempts at implementation attempts at
regulation.
Lack of accessibility to these technologies, by definition,
would exclude one from the debate on responsible governance
because, in effect, the decisions that are generated in
such a process would just not apply to a person who was not
part of the data set.
So in fact you are deleted, you don't exist.
What is linked to this as well is the issue that previously
colonized countries or excluded from conversations around what
responsible governance would be, and this just exacerbates the
problem.
So there is a first step that needs to be taken, which is to
understand which groups are excluded from this conversation.
Because when we talk about regulation of AI, we're talking
about privacy.
We're talking about that protection.
We're talking about freedom of expression.
We are talking about very basic human rights.
What makes the difference is to have sound regulatory frameworks
that will protect privacy, that will enhance transparency that
will really deliver on accountability.
But this is something we need to shape.
It needs to be through a process where we listen to everybody and
I feel that this is the only way we can deliver strong bases for
the technologies to deliver to our human goals.
The great risk at this point in time is that artificial
intelligence becomes a arms race in which each country only focus
on its own context and see the other countries as competitors.
AI my build bridges and connect people and countries, but at the
same time could be the other way around.
This is the debate that you should care about, because
that's the debate that is shaping up our future with
technology.
Alright, sorry about that.
Did my mic cause some issues with the sound?
It's just echoing.
Ohh OK.
And I didn't realize that too, because then I would have to do
that later myself.
But go on.
Alright, so privacy concerns, significant concerns.
Significant concerns revolve around town.
Models are trained and they're handling of potentially
sensitive human information.
This includes behavioral data, such as tracking individuals,
physical locations, or their usage patterns across
applications and websites.
While these concerns have historically been present with
the use of the Internet and other technologies, they are
particularly relevant in the context of artificial
intelligence due to questions about models, understanding of
sensitive information and their protocols for sharing it.
Language models capture all inputs with the aim of enhancing
the applications performance.
Users must be cognizant of this when engaging with such tools.
The Cambridge Analytica scandal stands as an example of how AI
can be leveraged to impact political functions.
The scandal involved harvesting personal data from the social
network site, formerly known as Facebook, to draw inferences
about individuals utilizing that information to influence both
the 2016 U.S.
Presidential election and the Brexit campaign.
This scandal drew extensive backlash for the companies
involved, leading to significant financial and legal
repercussions and severe public distrust.
The New York Times has published an article detailing the context
of the scandal and the scrutiny faced by both parties upon the
public release of information through a whistleblower.
Addressing these ethical concerns in AI development
requires extensive measures to safeguard sensitive information,
including transparent data collection and usage policies,
privacy protections and mechanisms for accountability
and oversight.
Developers and organizations must be must prioritize ethical
considerations and adhere to ethical guidelines to ensure
responsible deployment of AI technologies.
Recent developments showcase AI's ability to produce
sophisticated images and speech excerpts showcasing the
potential for creation of misinformation, as well as deep
fakes.
A deep fake is the manipulation of image or speech to produce
fake content that may lead to an audience to believe someone said
or did something they did not actually do.
There is currently no law against the production or use of
deep fakes, which can potentially be utilized and
defamation of public figures, or really any individual.
Today we can see evidence of deep fakes and embedded in
social media websites such as Tik, T.O.K X and Meta and must
be considered for legal reform in order to prevent the
spreading of misinformation.
These actions are serious detriment to society and further
legislation legislation is required in order to prevent
this unethical misuse of artificial intelligence.
In order to prevent the unethical use of our artificial
intelligence, it is important we establish principles in
developing these tools to ensure they are operating ethically.
This can be accomplished through putting in place foundational
policies in the architecture of AI by establishing and
maintaining governance, we can successfully implement ethical
considerations to eliminate the potential for misuse.
With remarkable AI applications developed such as Chat, GPT and
Dally, many concerns have risen in the authenticity of art and
original ideas.
There are several threats posed with utilizing artificial
intelligence in assistance to the creation of arts and poetry,
film and other creative forms of expression.
With the foundation of AI mirroring human intelligence,
many questions around eyes on the originality of these works.
There are additionally growing concerns with artificial
intelligence and its use in academia, providing students
with content that may not be credible if the content is
however credible.
Another challenge arises for how the credit is sourced or cited
as a source with lack of credible sources provided the
assistance of generative AI is considered plagiarism in nature.
These uses of artificial intelligence showcase the
ethical concerns that must be considered for the future
Society of how we view authenticity.
Although artificial intelligence has provided great utility for
individuals in their daily life, it is important to acknowledge
the ethical and authentic concerns and utilizing these
tools to ensure integrity.
The following ethical and authentic consideration should
be considered whenever using AI tools or even navigating the
Internet.
Although it is nearly impossible to avoid data collection
altogether, today we are able to acknowledge when AI is operating
and make decisions accordingly.
Here are some suggestions to consider when utilizing
artificial intelligence.
Are there any questions?
Good job.
That was very informative.
Thank you.
Anyone have any questions?
Well, everyone's really quiet.
Alright.
Well, then we have our next person on our list.
Then we have Michael Umm at Vance. Googling.
Yeah.
No, they, they, they still out here.
The way he's not here.
Some key issue I'm here that's still here, OK.
Oh yeah, Michael's here.
OK, your turn, Michael.
Just I've got to make this a quick second because I'm at work
right now, but I'll do the best I can to give you all some good
information.
OK.
Label No, no, it's it'll be fine.
Do you want me to come back to you then?
I'm just get this.
OK.
See if I can get this going.
Sorry.
Good.
Take your drugs.
Feel better?
I'm tired screen.
Drive to come on.
What do you do?
Live right now.
You OK?
Can you see my PowerPoint?
Working hard.
Yes.
Awesome.
OK, so advanced Google hacking techniques.
That's absurd.
So fence Google Hecticness is used for can be used for
penetration testing, you know conducting offensive attacks on
another company that you can also use it for schooling also.
So what?
It's used for hacking or research.
Just depends on what you're trying to do.
So for this perspective, while I'm starting my share, the full
Certified Ethical Hacker, we look at this from the
perspective of black box texting, Gray box testing and
white box testing.
So white box testing reconnaissance really isn't
needed for it.
Hackers will have information will have access to all the
infrastructure information upfront and it really imitates
the an insider threat.
The one time reconnaissance might be used for white box
texting is if you're trying to, because if you're trying to find
maybe a social media account, some emails, something where you
can reach out and connect phishing attacks.
Over here, we've grey box texting.
So reconnaissance may be used.
It's much more realistic as opposed to white box testing,
and to refer to as partial knowledge.
So again, maybe you're gonna use some Google hacking techniques
for finding social media accounts, emails, the operating
system of a the operating system the company is using for their
websites or applications.
Now in black box testing reconnaissance 100% necessary.
The attackers are going to this test completely blind, and it's
also referred to as a zero knowledge test, so we don't.
Maybe you might not know the URL of the website.
You might not know the operating system used.
The name of the company, etcetera.
So we're he's reconnaissance planning when it comes to
whenever we're gonna working as reconnaissance, planning for the
the planning phase of it.
So you're going to use this to gather information regarding the
target.
So for example, maybe I want to attack my Facebook account.
I can go in there and I can conduct.
I conduct reconnaissance on it.
I can try and find their email address where they live.
Maybe security information about them and such.
So one of the different commands is called in title.
So if you type in in title Colon then you've log on
site.eccouncil.com.
So that's when required that information to be listed in the
search after hitting enter.
Over here we have specific words file type, colon, PDF.
So if I want to find someone's Facebook account, I can type in
Michael Vitale space Facebook space, file type colon, PDF or
word or text or whichever and all of the search results will
pull up what that exact information.
No, we have cash, colon, www.xyzwebsite.com.
So Google occasionally will cash a website that you created.
So if I type in cache colon, they'll www.sayfacebook.com or
googlegoogle.com or msn.com you're going to see a previous
version of that website that Google saved maybe days, weeks,
months, years ago, etcetera.
Now the copy isn't working, but there might be some information
that's relevant when conducting the attack.
Now all in URL so all in URL, colon and then you're gonna type
in keywords again.
This is your required those keywords to be inside the URL of
what you're searching.
So if you're trying to find extra websites or you're trying
to find a specific username so a lot of time with, say, Facebook
when you go into facebook.com, your name is often gonna be in
that URL.
So you can use that to search for other people's social media
accounts also.
No.
In anchor, so in anchor is basically going to require you
to have access to a link.
So if I type in in anchor Colon Norton or Facebook Norton or
Facebook will be inside of that link.
Next, with link Colon www.xyz.com.
So this is going to require that website to be part of the link.
So facebook.com will be in the link, EC Council, etcetera.
So now I'm going to go in.
We're going to actually do some of these tests.
So if you go over here, I'm on.google.com and I have my.
How many information tabbed out?
So if I say I want to go to over to facebook.com and try and find
a PDF.
So I Facebook space file type colon, PDF.
So everything that I put in here, it's gonna open up a PDF,
so let's see.
Get this one again.
Oops, sorry one second.
We'll check my information.
Got a little bit messed up in there.
It happens sometimes.
Let's see if we got anything on here.
All right.
We'll move on to the next one since I made a mistake on that.
Sorry about that.
Right.
So going to end title.
I'm here.
See add in title.
We did facebook.com.
We're seeing every single thing in here is going to have
facebook.com that we're searching for.
Now we'll go into a little more information.
So say I want to go into login and passwords.
We can again here too.
We can hit F-12 on this and we can look at some of the code
that's involved, so we've access to the code of many different
websites that we can find a lot more easily.
And then maybe we want to conduct attacks, maybe something
relevant to, say, social engineering.
I can go in here and I expect inspect element, then we can see
what's in here.
So let me see if I can find a good example.
So maybe you're trying to.
I'm maybe you're trying to attack someone?
Social media account.
So if I can type in, if I convince them to say, hey, I got
into your account by doing stuff like this, I can change the
wording in it.
So send some the screenshot of that, it might make them a
little uncomfortable, so there's some some social engineering
aspects to it.
Let's go to the next one.
So we have all in URL.
This happened to me last time too.
I did this.
So again, it requires that Facebook will be inside the URL
or whichever other information.
So Facebook and career, or maybe I just want to type in.
Google.
Google is going to be in every single URL that we're looking
for.
Right.
So start from that.
That goes to my presentation.
Does anybody have any questions?
Nope, well done man.
Good job on that.
OK.
Thank you.
I was like, yeah, I should have been taking notes, but I
haven't.
I didn't do that.
We can watch it again another time, but thank you so much,
Michael.
You're welcome.
Appreciate it.
Thank you.
All right.
Our next speaker we have is hasu about the positive impact of AI
on the tech field.
Are you ready?
Yeah. So.
Looking Michael.
Hey, sue.
Oh, sorry.
Yes.
Sorry, I'll.
Yeah.
Looks like something's tried to come up.
Another can you hear me?
I can hear you, but I don't.
Of impact of AI and tech field on.
We don't see the.
Slight.
You might wanna try it again.
Yeah, sorry about that.
I'm not even sure what's going.
Has been weird all day.
Huh.
I'm not sure.
And let me.
Sure.
OK.
So the positive impact of AI and the type.
Is revolutionizing technology.
First, the introduction.
I think basically the overview is like.
Of human intelligence and machines.
Actually, like go from machine work, no network, many other
things.
AI in my development tech development is efficiency.
Transforming industries and so on.
Enhancing efficiency.
The AI basically kind of works as a it can automate tasks for
humans like sending emails, adding things you know when
you're buying things on your website to ads and takes out
like there's many things that can do that frees up the human
time.
So it's like you don't have to worry about those things
anymore.
It go from.
Roll robots in assembly lines, you know, customer service,
automated data entry and so on.
Improving user experience.
Obviously it tailors to products like if you're on a website, it
will probably generate ads and things that are tailored more to
what you looking for. Ohm.
Basically, personalized content adapter, user interface and
mobile apps and voice assistants and hands free.
Hand free technology hands free interaction enabling data driven
decisions.
And there's basically helps business make informed
decisions.
Predictive maintenance in manufacturing, pro fraud
detection.
Uh target marketing campaigns based on customers. Consumers.
Data.
OK, complex is.
So basically, AI helps tackle issues that we never knew were
even there.
I know I used this a lot of kind of going back to Africa.
His name?
He basically talked about.
Tricks to use chat suit or any other kind of AI to help you
code.
I kind of do the same use it like if I can't figure out why
it's not working, I'll ask Shooty why is this not working
or something?
It helps complete challenges of AI helps.
Pretty much address things that you didn't know were there.
Helps create jobs and opportunities.
AI basically.
Booze creation in the tech field in related tech field.
Researcher engines.
AI trainers and educators.
Basically overview is AI has revolutionized the tech field
and numerous positive ways, efficiency, productivity, and
accuracy across all industries.
Here just some examples, automation data and analysis,
personalization and predictive capabilities.
It's basically.
Thanks.
Appreciate that.
That that.
Or anybody have questions or Jesus?
None here.
Alright.
Everyone seems quiet, so that's good.
OK.
And our next presenter?
He's not here, but I have it for I have the recording.
OK.
So one moment while it gets set up.
But one computer.
Alright, let me know if you can hear it.
Uh.
Hello everyone.
Thank you for joining me today.
My name is Sal Rababeh and as both a cyber security major and
avid gamer, I'm particularly excited to share some insights
about cybersecurity in the gaming industry.
So the gaming industry has experienced exponential growth
over the past decade.
Really transforming into a digital powerhouse that captures
the attention of billions worldwide.
They sharleen there's a pretty bad echo.
With with men's growth, of course, comes agnant challenges.
All right, so let's agree.
Sorry about that.
Then it's my fault.
So let me mute my mic and then get this again started.
Hello everyone.
Thank you for joining me today.
My name is Sal Rababeh and as both a cybersecurity major and
avid gamer, I'm particularly excited to share some insights
about cybersecurity in the gaming industry.
So the gaming industry has experienced exponential growth
over the past decade.
Really transforming into a digital powerhouse that captures
the attention of billions worldwide.
However, with this immense growth, of course, comes
significant challenges.
All right, so let's the grasp the sheer magnitude and economic
impact of this sector in 2023, the global games market reached
a whopping $184 billion in revenue.
So this shows not only its entertainment value, but it's
significant economic footprint too.
Projections suggest that by 2026, this number is expected to
reach over $205 billion.
To put this into perspective, the film industry was worth
about 42 1/2 billion dollars in 2023.
And as of last year, there are over 3 billion gamers worldwide.
About 55% are male and 45% are female.
So with 1.7 billion male gamers and 1.3 billion female gamers,
there are tons of opportunities for cyber criminals here.
Not only does this sector generate billions of dollars,
there is a treasure trove of personal information to be had
from the 3 billion gamers across the globe.
Furthermore, the high profile nature of the industry adds to
the appeal.
You'll have some hackers that just wanna get their name out
there.
They just want the notoriety.
Also, the attack surface being so vast and varied, only makes
things worse and and adds to the issues, but aside from personal
game, uh, some bad actors may target game studios or
publishers in order to make a political statement.
Although this is less common, but you know we do sometimes
see, you know, hacktivists in the gaming industry, but most
attacks involve the theft of customer and corporate data
through data breaches and nowadays a lot of ransomware
attacks.
Now let's get into some notable cases.
Some of you may have heard of Bandai Namco.
They are a Japanese game publisher.
They're most known for owning the licenses for games like PAC
Man Galaga, Tekken, Dark Souls and Elden Ring.
They suffered from a few problems back in 2022.
So uh, their systems were compromised by a ransomware
group, and customer information was stolen along with some
corporate data.
Also in 2022, in an unrelated event, Ben and Amco was forced
to take the PC servers offline for the entire Dark Souls
trilogy.
So in all three games there was a vulnerability in the actual
code of the games that, when exploited, would allow an
attacker to actually execute code on the victims machine.
This is what's called an RCE or remote code execution exploit.
So the consequences of that can be pretty severe.
Uh, an attacker could potentially take control of your
PC.
They could steal data from it, or if they were feeling, you
know, really evil, they could break it.
Make it completely useless.
I actually used to play the souls games on PC and when all
of this happened, when I found out, I switched to my
PlayStation five to play these games.
Luckily, nothing ever happened to me.
But you know, it was pretty scary learning about the RC EXE
plate after it had been discovered because you know, I
had been playing these games online on PC.
It's totally unaware of the fact that I could have become a
victim at any point.
I pretty much I got lucky.
Ben and Amco worked with the developer of these games from
software and eventually patch the exploit and they put the
servers back online, but it took months.
Yes.
CD project red.
They're a Polish game studio famous for developing The
Witcher 3 and Cyberpunk 2077 and 2021.
They suffered from a ransomware attack and that actually
resulted in the theft of the source code for Cyberpunk 2077
and an unreleased version of The Witcher 3.
Now something like that would go for a lot of money.
You know, people would be interested in and seeing the
source code for, you know, big famous games like that.
So the attackers demanded a ransom, of course, but CD
Project Red refused to pay it.
So what?
The hackers did.
Was they leaked some of the data online to try and and and get CD
project read to pay the ransom.
They still refused, so they ended up starting an auction on
a hacking forum for the data and the starting bid was $1,000,000
and they also had like a almost like a like a twisted version of
an eBay buy it now price for $7 million.
They ended up taking down the auction because they received a
private offer.
And as a result of that whole attack CD project, read totally
revamped their entire IT infrastructure and beefed up
their security.
And this was a big one.
In 2011, Sonny's PlayStation Network was breached.
The servers were down for about 3 weeks, actually a little over
three weeks.
I think it was 24 days.
Uh, because of the attack and this meant if you had a
PlayStation you couldn't play online, you couldn't use any of
the online services.
And what's worse, actually is 77 million accounts ended up being
compromised, including mine, you know, which is nice.
I actually had to change, you know my password and and get a
new credit card because my payment info was also the
compromised.
So if you had a credit card linked to your account, that
would have been compromised, so I had to, you know, change all
my passwords, get a new credit card so that that was a pain.
And I wasn't the only one.
Of course, there were 77 other 77 million other people that had
the same issue.
So naturally, Sony faced huge lawsuits for this, and they had
to compensate their users.
So we all got 30 days of free PlayStation Plus membership and
two free games and total.
This whole incident costs Sony about $171 million.
So what can we do to improve security in this space?
Because we've seen how disastrous it can be when
security is breached, whether it's for a, a publisher or a
studio themselves, or even even insecurities within the game
code, like with the Dark Souls games and that RCX plate, we've
seen how dangerous these things can be.
So for starters, game developers need to understand the
importance of cyber security in their software.
That security should be built into the entire development
process.
Data should be collected and monitored for security issues.
Infrastructure should use the principle of least privilege to
limit the damage that can be done in the event of a breach.
I mean, because let's be real, it's not a matter of if, it's a
matter of when and user information should be encrypted
and stored securely.
End point protection needs to be put in place.
Pen tests and Red teaming is always a good option to find
vulnerabilities.
And last but not least, I think it's important for you know,
these game studios and these publishers to educate not only
their employees but also their their users, the gamers
themselves.
Uh, they need to educate gamers about phishing attacks and other
social engineering tactics to prevent these kinds of things
from a hearing.
So the key takeaways are the gaming industry makes more money
than most other entertainment sectors, with a projected market
value of $200 billion.
Uh, it's rapid growth and large population of users makes it a
very, very attractive target for cyber criminals, and we've seen
real world examples of how a devastating security breaches
can be in this industry affecting millions of users
worldwide.
And it's it's not something that you know, you just hear about.
Like I can relate to this.
It's happened to me.
And.
Lastly, from initial game design to post launch support, I
believe strongly that security should be built into the entire
game development process.
Thank you all very much for listening.
Have a great night.
OK.
Did y'all see the references at the end?
OK, what I know he's not here to answer any questions, but I have
one more 2.
Umm so you.
And this is from Jose burials.
Medina about nanobots.
Can you see my screen?
So.
Uh.
Sorry, I have to mute my mic.
Let me know if you cannot hear.
Oh, I'm trying to get some for you.
Greetings, my name is Jose Miguel.
Greetings, my name is Jose Miguel Berrios, media, and I'll
be presenting on NATO bots.
Next slide, if we're going to details on one nanobot are and
what they are used for, I will be explaining what the concept
of NANOTECHNOLOGY is as a whole.
Nanotechnology is a field of study and practice.
That focuses on using nano sized material to manipulate it so it
can be used in different sectors such as medical production,
energy and manufacturing.
Nanotechnology was first mentioned in Tokyo in 1974 by N
Taniguchi at their international Conference of Industrial
Production next line.
Now to give an explanation on what nanotechnology themselves
are, nanorobots is a field inside the nanotechnology group
that focuses on small robots that are able to create
skyscrapers and find malicious disease and human bodies.
The idea of using nanorobots for such issues arose in 1988 when
Nanotechnologist Eric Drexler wrote an article on how the mix
of using robots and nanotechnology could solve
specific problems.
Now that none of robots are created to help individuals in
the nanoscale, it is important to understand that the main
issue with these types of robots is that to be able and create
them, specific tools need to be developed and used.
Industrial equipment would not work because they are not
specifically designed to work with nanoscale.
Another issue was that at the time of Eric Drexler's article,
specific equipment was not yet created.
That would be able and probably designed the nanorobots yet 30
years later we have seen invest amount of advances that would be
key to the success of NANOROBOTS.
Next slide.
Humans think the nanorobots are devices that are microscopical,
tools that we can use that are made of metallic material, but
that is not the case.
The actual understanding of understanding of not a robots
are cells and tissues in our bodies that we manipulated in a
way that they could work for us to do a specific task, to show
what the scale of what nanorobots actually looks like.
I researched a nanorobot called Xenon bot that is credited
created by using 500 to 1000 living cells.
The size of this is 1 millimeter, which is bigger than
the nano scale, but can still be used for medical research as
shown in this screen.
The size that is seen is fairly big compared to the nanoscale,
and yet it's still very small in.
In research, the comparison of the Earth next to the marble is
an example to explain how small the nanoscale actually is.
Here in the screen we can show that one millimeter in the
bottom right is equal to the top right which is the nano.
The xeno box.
Umm, another important tool for diagnostic related to Daniel
Technologies are nano diagnostic tools which are specifically
tools that measure between one and 100 nanometers and are used
to properly diagnose problems in humans.
These tools are used by specific pills, electrical or liquid
devices that are used to verify biopsy and human senses to
properly diagnose them.
Next slide.
As heard earlier, nanotechnologies and advancement
that can help in so many different ways, including
technical fields, Healthcare is one of the most important
because we see that it is so hard to do surgeries without
causing problems when exposing to the outside world.
So nanobots technologies have already been created to be able
and transport medication to specific parts of the body while
being controlled with magnets from the outside.
There are also some nanotechnologies that use
specific body parts to help in combating the illnesses, to help
find specific problems with humans before any machine could
other fields in which nanotechnology would work are in
the engineering.
As mentioned before, where nanotechnology would be able to
be used in cases of building and repairing boards and electrical
devices that need precise measurements and solutions.
Next slides like most fields where new technology emerges,
some problems come with it.
Some of the major issues with nanotechnologies are if the use
of particles in the body and the way that they help humans need
to be correctly regulated so that if issues do arise, proper
measures are in place to help combat them.
Funding and resources is also an issue because equipments are not
made to work with small materials as in the nano scale,
making it hard to find funding for this type of research and
for even trying to properly develop it.
It is also hard to develop a way to properly control this type of
material and to give it directional instructions.
In conclusion, nanotechnology is the field in which we have yet
found the plausible answer to issues that have emerged from
them.
But the development of this technology has been in constant
growth since the it's mentioned in 1974.
Lastly, nanotechnology in this slide, nanotechnology the
future, we have already mentioned in what type of
applications?
Not our robots have been used in, but with the technology
emerging, it is expected that we would be able to use it in
environmental cleanup like oil spills in space exploration,
because we can use an adult technology to be able to fix any
space exploration issues that emerges and hence manufacturing
to make better boards and better technology, smaller and easier
to handle and carry and medical treatment to be able to biopsy.
And five different issues with humans.
Beings, that is all.
Thank you for your time.
Uh, I put the reference and at the end I was able to actually
find the Nanorobot surgeon video that will help individuals
understand how these nanotechnologies actually work
and what how they are used.
Thank you for your time and I'll put flights to the video now.
This is a little bit we are starting from a bit bigger size
as an example.
OK, so this is a swallowable capsule robot which has a camera
on board wireless communication and it has it has a camera.
Usually.
Yes, there's a very tiny camera.
The black parts of this and you see where where is the camera?
Good.
It's at the end here.
OK.
And then there are small magnets inside as you mentioned, to
manipulate anything, you need some physical force.
In this case, this capsule has magnets inside and another
external magnet can exert force on this capsule and inside your
body.
This can be navigated so it can roll inside your stomach.
It can be stopped.
It can go backward and forward as a robot.
Well, how would you put it in you?
So you swallow it.
So it's a pill.
Swallow it.
So yeah, this is completely wireless robot as you see in the
video.
Also, it's made out of a soft material so that it can deform
and it's very safe to use as you mentioned, safety is our first
rule about the design and by rolling inside your stomachs
tissue surface the doctor can stop it and then by controlling
the external force, you can indeed inject a drug.
Here you see this blue thing?
Wow, it's still middle pier.
Mississippi, because the world will tell you if it's, you know,
it's growing another one.
Exactly.
And I tell you this many times and it can actively image your
body so that you can see where you want exactly.
Do it again.
Let's see.
What's it again?
What?
Just of all.
Who is running?
It looks like it's it's got a will like it.
There's some.
Is it being driven by something you see that there's an external
magnet that the doctor has full control of?
Ah, and and indeed it's moving outside like you use a magnet.
Also, your body and it's moving the robot inside your body, so
there's a doctor outside of you with a magnet, and then it's
still thing wobbling and so the doctor is moving it.
Exactly.
That's why it's safe so that you don't have any, you know,
decision doctors freezing up at blue juice.
Yeah.
So Doctor says that that area has a disease so that he or she
decides to inject the drug at that point and also the same
robot can do biopsy.
So it can cut some.
Whoa, wait a second.
It's a three in one.
It can take pictures.
It can leak or whatever that is poor.
And it can cut yes.
With what?
What is it cutting with so the the biopsy is a common procedure
in the GI tract that you want a small piece of your tissue to
decide if there's a disease or not.
Because sometimes camera images are not sufficient or wouldn't
tell you the the level of the disease.
So Doctor needs to take a piece of your tissue and do analysis
afterwards so that we need to pick up this capsule later and
do some analysis, which is a bit dirty.
Wait a second.
This is like I have a knife in its pocket or like where?
Where is the cutting thing?
It's inside the middle, so it's very safe and located, so it
doesn't cause any damage.
But as in the drug releasing case, when doctor controls a
force and presses this thing on purpose, the knife comes out and
gets us, gets a small.
It's like a switchblade.
So yes, exactly.
Yeah.
And so you can then take a little bit of something and then
bring it to the doctor.
Exactly how do you?
I'm assuming that you bring it to the doctor and the old
fashioned way.
In in the biopsy case, yes, you need to pick it up coming out of
natural ways, but other other cases we don't pick it up.
The intern does that or who?
That's the cause of high technology I see.
OK.
Did you guys hear all that?
Yep.
Yes, we did.
OK, good.
Good.
Good, because I wasn't sure, and I experimented the other day,
made my own team meeting and see if it works, but I'm only on one
side of the things I didn't have anybody witnessing.
If it was working or not OK alright.
Uh, any comments?
I'm sorry I can't answer any questions because these are not
my.
Research, but that was very interesting though, about the
the thing in the stomach.
And what they could do with nanotechnology, but I don't
trust it yet to a new.
But that's my comment.
Alright.
And I think that's all we have for today.
Uh.
Not unless anyone wants to do a presentation that they have next
week or another week.
Uh, uh.
You can, if you're able to.
No.
Alright, then, I'll I guess we're done with our meeting.
I'll go ahead and and the record.