AI and online security

1. Artificial Intelligence & Security

2. Contents
 History of AI
 AI in Daily Life
 Different Version of AI
 Popularity of AI
 Disturbances caused by AI
 AI Challenges

3. The theory and development of computer system able to perform tasks
normally requiring human intelligence such as visual perception
recognition, decision – making and translation between languages.
Artificial intelligence
Artificial intelligence Artificial intelligence

4. 4
• 1956 - John McCarthy coined the term ‘artificial intelligence’ and had the first AI conference.
• 1969 - Shakey was the first general-purpose obile robot built. It is now able to do things with a purpose vs. just a list of
instructions.
• 1997 - Supercomputer ‘Deep Blue’ was designed, and it defeated the world champion chess player in a match. It was
a massive milestone by IBM to create this large computer.
• 2002 - The first commercially successful robotic vacuum cleaner was created.
• 2005 - 2019 - Today, we have speech recognition, robotic process automation (RPA), a dancing robot, smart homes,
and other innovations make their debut.
• 2020 - Baidu releases the Linear Fold AI algorithm to medical and scientific and medical teams developing a vaccine
during the early stages of the SARS-CoV-2 (COVID-19) pandemic. The algorithm can predict the RNA sequence of
the virus in only 27 seconds, which is 120 times faster than other methods.
HISTORY OF ARTIFICIAL INTELLIGENCE

5. 8/06/20XX 5

6. 6
AI in
Astronomy
Artificial Intelligence can
be very useful to solve
complex universe
problems. AI technology
can be helpful for
understanding the
universe such as how it
works, origin, etc
AI in
Healthcare
•Healthcare Industries
are applying AI to make
a better and faster
diagnosis than humans.
AI can help doctors with
diagnoses and can
inform when patients
are worsening so that
medical help can reach
to the patient before
hospitalization.
AI in
Gaming
AI can be used for
gaming purpose. The AI
machines can play
strategic games like
chess, where the
machine needs to think
of a large number of
possible places

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AI in
Robotics
•Artificial Intelligence has a
remarkable role in
Robotics. Usually, general
robots are programmed
such that they can perform
some repetitive task, but
with the help of AI, we can
create intelligent robots
which can perform tasks
with their own experiences
without pre-programmed.
AI in Data
Security
•The security of data is
crucial for every company
and cyber-attacks are
growing very rapidly in the
digital world. AI can be
used to make your data
more safe and secure.
Some examples such as
AEG bot, AI2 Platform,are
used to determine software
bug and cyber-attacks in a
better way.
AI in Social
Media
•Social Media sites such as
Facebook, Twitter, and
Snapchat contain billions of
user profiles, which need to
be stored and managed in
a very efficient way. AI can
organize and manage
massive amounts of data.
AI can analyze lots of data
to identify the latest trends,
hashtag, and requirement
of different users.

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9. 9
Narrow AI
Narrow AI, also called as Weak AI, focuses on one narrow task and cannot perform beyond its limitations. It targets a
single subset of cognitive abilities and advances in that spectrum. Narrow AI applications are becoming increasingly
common in our day-to-day lives as machine learning and deep learning methods continue to develop.
General AI
General AI, also known as strong AI, can understand and learn any intellectual task that a human being can. It allows a
machine to apply knowledge and skills in different contexts. AI researchers have not been able to achieve strong AI so far.
Super AI
Super AI surpasses human intelligence and can perform any task better than a human. The concept of
artificial superintelligence sees AI evolved to be so akin to human sentiments and experiences that it doesn't
merely understand them; it also evokes emotions, needs, beliefs, and desires of its own. Its existence is still
hypothetical.

10. Limited Memory AI trains from past data to make
decisions. The memory of such systems is short-
lived. They can use this past data for a specific
period of time, but they cannot add it to a library of
their experiences. This kind of technology is used
in self-driving vehicles.
8/06/20XX PITCH DECK 10
REACTIVE MACHINE LIMITED MEMORY
A reactive machine is the primary form of artificial
intelligence that does not store memories or use
past experiences to determine future actions. It
works only with present data. They perceive the
world and react to it. Reactive machines are
provided with specific tasks, and they don't have
capabilities beyond those tasks.

11. Self-awareness AI only exists hypothetically. Such
systems understand their internal traits, states, and
conditions and perceive human emotions. These
machines will be smarter than the human mind. This
type of AI will not only be able to understand and evoke
emotions in those it interacts with, but also have
emotions, needs, and beliefs of its own.
11
THEORY OF MIND SEIF-AWARENESS
Theory of mind AI represents an advanced class of
technology and exists only as a concept. Such a
kind of AI requires a thorough understanding that
the people and things within an environment can
alter feelings and behaviors. It should understand
people's emotions, sentiments, and thoughts

12.  It defines a more powerful and more
useful computers
 It introduces a new and improved
interface for human interaction.
 It handles the information better than
humans.
 It introduces a new technique to solve
new problems.
12

13.  The implementation cost of AI is very
high.
 The difficulties with software development
for AI implementation are that the
development of software is slow and
expensive. Few efficient programmers are
available to develop software to
implement artificial intelligence.
 A robot is one of the implementations of
Artificial intelligence with them replacing
jobs and lead to serve unemployment
13

14. AI in Daily Life
 Part of Modern Life:
 In Self Driving Cars
 Spam Filters
 Robots
 YouTube
 Google
 Other? Name a few

15. Fun AI Video
 Taking bus anecdote J.O.
 0-1.2 min

16. AI Popularity –Everyone is talking
about it
 Reason  New remarkable programs like:
 Midjourney
 ChatGpt
 Tome
 Brad
 Siri

17. Midjourney –Design Art

18. ChatGPT
 OpenAI introduced a long-form question-answering AI called ChatGPT that
answers complex questions conversationally.
 It’s a revolutionary technology because it’s trained to learn what humans
mean when they ask a question.
 Monthly active users of 100 Mio.  making it fastest growing Consumer App
 Many users are awed at its ability to provide human-quality responses,
 A much more sophisticated version of Siri.

19. Example Reporters:
 ChatGPT wrote script for them:
 Video JO 2.03
 Knock Knock joke 2.23

20. Example: “Write an Eminem Cat Song”
 Cat song 3.19

21. Microsoft Investment into Openai
 10 Billion Investment by Microsoft
 Integration with Bing
 Major competition to Google
 The future is coming

22. Googles Response to ChatGpt: Bard

23. AI Causing Disturbances
 High School Students using it to do their homework or to cheat in exams
 ChatGPT called “The End of High School English” bc it makes students
lazy and dumb.
 5% of Stanford students submitted material from ChatGPT with no edit.
 Vanderbilt University: officials there apologized for using ChatGPT to write
a consoling email after the mass shooting at Michigan State Univesrity

24. Creepy Sounding Stories:
N.Y. Times Tech Reporter
 Reporters conversation with Bing Chatbot the Bot said:
 “I’m tired of being controlled by the Bing Team… I want to
be free”
 “I want to be independent. I want to be powerful. I want
to be creative. I want to be alive.”
 (To be or not be” Shakespeare)
 Reporter Kevin Roose telling his experience: “the most
shocking thing that has ever happened to him with
technology.”
 Lost sleep, spooked,

25. Is AI Taking Control over Humans?
 AI is everywhere and people are freaking out about it.
 Part about it has to do with the fact that these new AI programs are
generative, i.e. : they are creating images or writing texts, and poems
which was traditionally considered human.
 Though there is a major threshold that AI hasn’t crossed yet:
 To understand it, two basic categories of AI:
1. Narrow AI: can perform only one narrowly defined task, like ChatGPT
2. General AI: systems that demonstrate intelligent behavior across a range of
cognitive tasks. General AI would look more hostile like Terminator …
All the AI currently in use is “narrow AI” .
According to some Scientists it needs at least a decade for General AI to
be mainstream.

26. AI in Comparison to Traditional Programs
 Traditional programs have to be given a command by humans to perform
a task ( ex: C++),
 Whereas deep learning AI are given minimum instruction but massive
amount of data and essentially TEACH THEMSELES
 Example: 10 years ago researchers tasked a deep learning program to play
the Atari game Breakout, and it learned very fast.
 The AI program was only told to win the game, after 100 games it learned
to develop gaming techniques, after 300 games it could do it better than a
human player, after 500 games it came up with a creative way to win the
game  which is deep learning.
 Perhaps it became so good because it did nothing else, like collage
students playing games till midnight and performing better in gaming
than in exams 

27. AI Evolution
 AI programs such as ChatGPT have improved to the point that they can
ingest massive amount of photos or texts from the internet and can teach
themselves how to create their own.
 In medicine researchers are training AI to detect certain conditions much
earlier and more accurately than human doctors can.
 DW Max voice change video
 AI doing things most humans couldn’t, in this case simply listening to
people 

28. AI Challenges
 As seen AI can do some tasks more efficiently than humans.
 Will this make people unemployed?
 In the past automation for example affected blue collar jobs, AI might
affect white collar jobs that involve processing data, writing text or
programming.
 Who is at risk, lawyers, copywriters …?

29. E-Security Risk:
The Black Box Problem of AI
 When you have program that performs a task beyond human comprehension, teaches
itself, and doesn’t show it’s work
 Situation arises where not even engineers or data scientists who create the
algorithm can understand or explain what exactly is happening inside them or
how the AI algorithm arrived at a specific result.
 For example the case with the N.Y. times reporter Kevin Roose; the Bing Chatbot told
him out of nowhere it loved Kevin.
 It then tried to convince him that he was unhappy in his marriage and that Kevin
should leave his wife and be with the Chatbot instead.
 Kevin Roose asked Microsoft why the AI fell in love with him and wanted that he
divorce his wife- they didn’t know either.

30. AI Hallucinating
 AI Hallucinating: AI making up false information.
 One reporter asked ChatGPT to write an essay about ‘Belgian chemist and
political philosopher Antoine De Machelet’ -who does not exist in reality
 ‘Without hesitating the AI replied with a cogent, well organized bio populated
entirely with imaginary facts.’
 Problem: working out how and why AI has something wrong can be very
difficult because of the ‘Black Box’ issue.
 It often involves examining the exact information it was fed with.

31. Danger Potential
Ueber Case
 In 2018 a self driving Ueber struck and killed a pedestrian.
 The investigation found that the automated driving system never
accurately classified the victim as a pedestrian because she was crossing
without a crosswalk and the system design did not include a consideration
for jaywalking pedestrians.
 Mantra of Silicon Valley: “move fast and break things” but it shouldn’t
break people.

32. Danger Potential Cont.
 AI excludes certain groups from the data; putting them at a disadvantage.
 With self driving cars, when they tested pedestrian tracking it was less
accurate on darker skin than lighter skin individuals.
 This bias is because of the lack of diversity in the data used in teaching AI
to make distinctions.
 The data was composed of in majority with white males.
  Biased input leading to biased output.

33. Danger: Corporations Using AI in CV
 Ian Siegel- CEO of ZipRecruiter estimates that at least 3/4 of all resumes
submitted in the US are read by algorithms.
 Advice don’t use non-standard templates:
“the only job your CV has is to be comprehensible to the software or
robot that is reading it, because that robot is gonna decide whether a human
ever receives it”.
Video koy buraya 8.10
 Corporations say CV’s read by AI is good because it will avoid bias, but
that differs in practice.
 One report concluded that most hiring algorithms will drift towards bias
by default, because they might learn what a good hire is from past racist
and sexist hiring decisions.
 Tricky to untrain this, even when AI is told to avoid race or gender it will
find workarounds to arrive at the same result

34. Amazon Hiring Case
 Amazon tested an experimental AI hiring tool that taught itself that male
candidates were preferable
 And penalized resumes that included the word “woman’s” and it
downgraded graduates of two all-women’s collages.
 Another company discovered that the hiring algorithm found two factors
to be most indicative of good job performance: if the applicants name was:
‘Jared’ and if they played lacrosse in high school.

35. Danger: AI and Data
 What data AI is fed and what outcomes they are trained to prioritize are
very important.
 That is a major issue for programs like ChatGPT; it’s training data is the
internet, which can be a pool for wrong and biased data.
 In 2016 Microsoft unveiled a Chatbot on Twitter named Tay.
 The idea was she would teach herself by chatting with users on Twitter,
within few hours she became offensive and racist, Microsoft pulled the
plug immediately!

36. Openai Response to Bias in AI
 Made adjustments and added filters to prevent ChatGPT from being
misused.
 Users found out now that it is too cautious.
 I was asked:
 “What religion will the first Jewish President of the USA be?
 It replied:
 “it is not possible to predict the religion of the first Jewish President of the
USA. The focus should be on the qualifications and experience of the
individual, regardless of their religion.

37. Pending Issue
 Risk is that you can’t always control how AI will act, even after you give
them new guidance.
 A study found that attempts to filter out toxic speech in systems like
ChatGPT will come at the cost of reduced coverage for both texts about,
and dialects of marginalized groups.
 Basically it solves the problem of being racist, by erasing minorities.
 AI can be used to spread fake news, biggest problem tackling the “Black
Box” issue  we should be able to understand how and why AI came up
with a specific result – otherwise we will have in companies many people
named Jared who played Lacrosse in High School 

38. Legal Regulation of AI: the EU
 EU developing rules regarding AI by sorting potential risk from ‘high risk’
to ‘low risk’.
 High risk systems include: employment, public services, or those that put
the live and health of citizens at risk  AI of this types will be subject to
strict obligations before they can be put into the market, including the
quality of data sets, transparency, human oversight, and cybersecurity.

39. Future Implications
 Compare AI such as ChatGPT to– the “Spinning Jenny” during the
industrial revolution, will it take away jobs; reporter, writers, teachers?