Unveiling the Pros and Cons of Artificial Intelligence | Jada Scott | TEDxYouth@JeffersonStreet
Summary
TLDRThis video explores the pros and cons of artificial intelligence (AI), emphasizing its potential as a transformative tool if used wisely. It explains three AI models: supervised, unsupervised, and reinforced learning. The video highlights AI's applications in medicine, manufacturing, and education, while addressing concerns about accuracy and bias. A personal project on an AI-generated pneumonia detector illustrates AI's promise and challenges, concluding that with ethical and smart use, AI can be a boon for society.
Takeaways
- 🤖 Artificial Intelligence (AI) is often misunderstood as a threat, but it has the potential to be a phenomenal resource if used wisely and safely.
- 🧠 AI is defined as a computer system that resembles neurons in the human brain and can recognize patterns in information.
- 📈 There are three main models of AI: supervised, unsupervised, and reinforced learning, each with different methods of human interaction and learning.
- 👶 Supervised AI is trained by humans who provide information and identify patterns for the AI to learn from, similar to teaching a child.
- 🔍 Unsupervised AI allows the computer to identify patterns on its own from the information provided by humans, like how chatbots understand and respond to queries.
- 🚗 Reinforced AI observes human tasks and learns to mimic them without direct human input, exemplified by self-driving cars learning from human driving patterns.
- 🩺 AI can be beneficial in the workforce, particularly in the medical field, where it can assist doctors by taking over time-consuming tasks like pattern recognition in X-rays.
- 🏭 In manufacturing, AI can perform dangerous jobs more efficiently, reducing risks for human workers.
- 🏫 AI has the potential to aid in education, not replace teachers, but assist in managing tasks, especially in areas where teacher shortages are prevalent.
- ⚠️ Concerns about AI include its accuracy, which is crucial for safety, and the risk of bias in the information it learns from humans, which can lead to exclusion or unfair treatment.
- 🌟 The development of AI should prioritize inclusivity to ensure it benefits everyone and does not perpetuate existing inequalities.
Q & A
What is the official definition of artificial intelligence?
-The official definition of artificial intelligence is a computer system that resembles neurons in the human brain and is able to pick up on patterns and the information that it receives.
What are the three models of AI mentioned in the script?
-The three models of AI mentioned are supervised AI, unsupervised AI, and reinforced AI.
How does supervised AI work?
-Supervised AI involves a human feeding the computer information and pointing out the patterns, and it is up to the AI to practice those patterns in order to accomplish a human task.
What is an example of supervised AI mentioned in the script?
-An example of supervised AI mentioned is face recognition, where the AI is trained to recognize a specific face by being shown images of that face.
How does unsupervised AI differ from supervised AI?
-In unsupervised AI, a human still feeds the computer information, but it is up to the computer to point out the patterns itself, without explicit guidance on what patterns to look for.
What is an example of unsupervised AI given in the script?
-An example of unsupervised AI given is chat GPT, where the AI formulates its answer based on keywords it identifies in the user's question.
What is reinforced AI and how does it work?
-Reinforced AI is the most advanced type of AI, where it does not need a human to give it any information. Instead, it observes a human task and is able to mimic it by itself.
What is an example of reinforced AI mentioned in the script?
-An example of reinforced AI mentioned is a self-driving car, which learns to drive by observing human driving.
How can AI be beneficial in the medical field according to the script?
-AI can be used in the medical field to allow doctors to spend less time diagnosing patients and more time on treatment, such as by using pattern recognition to analyze medical images like X-rays.
What concerns are raised about the use of AI in the workforce?
-The concerns raised include the accuracy of AI, as it needs to be as accurate as possible to avoid putting people's lives at risk, and bias in the information that AI is trained on, which can lead to biased AI systems.
Why is it important for AI to be inclusive during its development?
-It is important for AI to be inclusive during its development to ensure that it does not perpetuate existing biases and exclusions faced by minorities, and to make sure that it benefits and serves everyone equally.
What was the outcome of the AI-generated pneumonia detector project mentioned in the script?
-The AI-generated pneumonia detector project achieved an accuracy rate of 80%, but it highlighted the need for AI to be constantly trained and learning to improve its performance.
Outlines
🤖 Introduction to AI and Common Misconceptions
The speaker introduces the topic of artificial intelligence (AI), addressing common fears and misconceptions, such as the idea that AI will lead to evil robots taking over the world. The speaker emphasizes that AI, like many other historical inventions, has the potential to enable great societal advancements. The key is ensuring AI is used wisely and safely. The speaker also reflects on their personal research into AI, noting its potential to be a valuable resource if applied carefully.
📱 Definition and Types of AI
The speaker defines AI as a computer system that mimics the human brain's neurons, learning from patterns in data. They describe three types of AI: supervised AI, where humans teach the system through examples (e.g., facial recognition); unsupervised AI, where the system identifies patterns without direct human input (e.g., ChatGPT); and reinforced AI, the most advanced form, which learns by observing human actions (e.g., self-driving cars). These models demonstrate different ways AI can assist with tasks, learning either through instruction or observation.
🏥 AI Applications in the Workforce
The speaker outlines three areas where AI can positively impact the workforce: medicine, manufacturing, and education. In the medical field, AI can assist doctors by analyzing patterns in x-rays, allowing them to focus more on treatment. In manufacturing, AI is already being used in car production to take on dangerous jobs, improving worker safety. In education, AI can help address the shortage of teachers by supporting instructional tasks, though it is not intended to replace them.
⚠️ Concerns about AI: Accuracy and Bias
The speaker highlights three key concerns about AI: accuracy, bias, and inclusivity. AI must be highly accurate to avoid risks in areas where human safety is involved. Bias is also a significant issue, as AI systems can inherit human biases present in their training data. A recent example of this was seen with Apple's facial recognition AI, which struggled to recognize people with darker skin tones. Ensuring that AI is inclusive and avoids perpetuating bias is essential, especially for marginalized groups.
📊 AI in Research and Challenges with Accuracy
The speaker shares their experience working on an AI research project to create a pneumonia detector. While AI showed potential by distinguishing between patients with and without pneumonia, it only reached an 80% accuracy rate. This was partly due to the AI becoming too familiar with the training data. The speaker stresses the importance of ensuring that AI is fed diverse information and continues to learn and improve over time.
🔑 Conclusion: Balancing AI’s Potential and Risks
In the conclusion, the speaker summarizes that AI has the potential to be a phenomenal resource, but it is crucial to find a balance between its benefits and risks. They emphasize the importance of ethical use and widespread understanding of how AI works. The speaker believes that if AI is used wisely, it can be a great tool for society.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Supervised AI
💡Unsupervised AI
💡Reinforced AI
💡Pattern Recognition
💡Bias in AI
💡Accuracy of AI
💡Pneumonia Detector
💡Medical Field
💡Ethical Use of AI
Highlights
Introduction to the positives and negatives of artificial intelligence (AI).
Clarification that AI is not inherently evil, and it's comparable to other major technological advancements like the wheel or the smartphone.
AI's potential to be a phenomenal resource, but only if used safely and wisely.
Explanation of the three main types of AI: supervised AI, unsupervised AI, and reinforced AI.
Supervised AI involves humans feeding the AI information and teaching it to recognize patterns.
Unsupervised AI identifies patterns by itself without explicit instruction from humans.
Reinforced AI learns by observing human behavior and mimicking it, with the example of self-driving cars.
AI in the medical field can help doctors by assisting in pattern recognition tasks, like diagnosing broken bones from X-rays.
AI in the manufacturing industry is already taking over dangerous jobs and improving efficiency.
In education, AI can support teachers, especially in regions where there is a shortage due to low wages.
Concerns about AI accuracy and its importance, especially when integrated into human-centric tasks.
The issue of bias in AI is highlighted with the example of Apple’s facial recognition AI, which struggled with darker skin tones.
The need for inclusivity in AI development, ensuring that minorities are not left behind.
Research project on AI-generated pneumonia detection, which achieved only 80% accuracy due to overfamiliarity with training data.
Final conclusion emphasizing the need for ethical and wise use of AI to ensure its positive impact on society.
Transcripts
[Music]
oh
[Music]
today I'm going to be talking to you
guys about the positives and negatives
of artificial intelligence also known as
AI now right off the bat when I say the
word AI many of you in this room
probably think oh AI is evil robots are
going to take over the world well this
isn't necessarily true if you think
about it throughout history humans have
created a multitude of inventions that
have enabled Society to accomplish great
things for example the wheel or the
radio and now the
smartphone AI just might be the next big
thing and just like all new things
people are terrified and it's okay to be
scared recently I have taken it upon
myself to learn a little bit more about
artificial intelligence since I know
it's going to have such a big impact on
me and from the research and experiments
that I've have seen I believe that AI
has the potential to be a phenomenal
resource but this can only be done if
it's used safely and
wisely so if you're thinking oh this
doesn't really apply to me I don't use
AI take a moment to look in your pocket
or your purse and if there's a phone in
there then I hate to tell you but that
is a
the official Definition of artificial
intelligence is a computer system that
resembles neurons in the human brain and
is able to pick up on patterns and the
information that it
receives so there are three models of AI
first being um supervised Ai and this is
where a human feeds the computer
information and points out the patterns
and it is up to the AI to practice those
patterns in order to accompl Lish a
human task so think of this as training
a child to do something you must first
give them a
situation and then show them how to
accomplish that situation and then give
them a few practice problems to ensure
they know the
skill a real world example of supervised
AI is any sort of face recognition where
you're giving the AI a photo of your
face classifying who it is and then is
up to the AI to recognize that face
anytime that it sees
it the next model is unsupervised Ai and
this is where a human is still feeding
the computer information but it is up to
the computer to point out the patterns
itself an example of this is chat GPT so
in this case the question is the
information that a human is giving the
computer and it is up to that computer
to find a key word in your question in
order to formulate its
answer the last Model is reinforced Ai
and this is known to be the most
advanced type that we have right now
this is because it does not need a human
to give it any information rather it
observes a human task and is able to
mimic it by itself an example of this is
a self-driving car the AI can just watch
a human drive a car and then learn to
drive it by
itself so as you can see there are a
many benefits that AI has and I'm going
to give you three ways that it can be
used in the
workforce first it can be used at in the
medical
field it can allow doctors to spend less
time diagnosing the patient and more
time on the treatment of the patient so
let's say you're a doctor and you want
to separate images of broken bones from
non-broken Bones all this is is pattern
recognition so AI can be used for the
task all you have to do is give it x-ray
images of both types and it'll be able
to decipher the two by
itself AI could also be used in the
manufacturing field so as you may know
manufacturing can be a very dangerous
job and AI is already being used in car
manufacturing specifically
to take the load off of the workers and
do more of the dangerous jobs more
efficiently AI also has the potential to
be used in the education field now I'm
not trying to say that robots are going
to take over teachers jobs rather it can
be used to help aid the process
especially since it's already so hard to
find teachers due to low
wages with all these benefits there are
also many concerns and I'm going to give
you the three main types number one is a
concern with the accuracy right now ai
is not very accurate and it needs to be
if it's going to be working in the
workforce and this is because it is so
intertwined with humans that it's going
to put a lot of people's lives at risk
if it
malfunctions so they say you shouldn't
be a perfectionist but AI needs to be as
accurate as
possible another huge concern is bias in
the information that AI is receiving so
like I said humans are the one that are
training these machines so if the human
trains the AI information with bias then
that AI is going to be biased as
well an example of this happened pretty
recently when Apple products were making
their um face recognition AI they only
tested it on individuals with lighter
skin tones so
whenever it the Prototype was being
presented it could not recognize people
with darker skin tones as easily so this
really brought to light how important it
is for AI to be inclusive of everybody
and I personally stress this issue
because I know that minorities have
always been excluded from major
accommodations so I personally want to
make sure that AI is not another thing
on that list and we are able to be all
inclusive in the development of the
technology
ology so I was able to see all these
positives and negatives into effect with
a research project that I did to make an
AI generated pneumonia detector so we
did this by feeding the AI both images
of patients with pneumonia and without
so that way it can decipher the two
types while doing this project I noticed
that Innovations like this could really
take the Lo off of doctors and it could
really help our
society however I also noticed that
despite all the images that we kept
feeding it it could only get to accuracy
rate of
80% and this was because the information
or the AI was becoming too familiar with
the information that we were giving it
so not only do we have to make sure that
we are feeding the AI enough information
but we also have to make sure that it is
training and always always
learning so to sum this all up I do
believe that AI can be a phenomenal
resource but we must make sure that we
have a medium between the positives and
negatives and work to improve it as much
as we can but as you already know AI is
everywhere so it is very important that
everybody knows how it works and what it
is so they can interact with it
so I think that as long as we can use it
ethically and wisely it will be a great
thing thank
you
Посмотреть больше похожих видео
Google’s AI Course for Beginners (in 10 minutes)!
'AI Wow,' dokumentaryo ni Atom Araullo | I-Witness
GEF Madrid 2024: Navigating AI Legal Frontiers
Hoe gaat AI het onderwijs veranderen?
Barbara Gallavotti | Che cosa pensa l'Intelligenza artificiale
What Is The Impact Of Artificial Intelligence (AI) On Society?
5.0 / 5 (0 votes)