Artificial Intelligence | 60 Minutes Full Episodes
Summary
TLDRThis transcript explores the transformative potential and ethical dilemmas posed by artificial intelligence (AI), as seen through the perspectives of industry leaders and innovators. It delves into the rapid advancements in AI technologies, highlighting the balance between societal benefits and potential risks, including job displacement and the spread of misinformation. The dialogue also touches on the need for regulatory oversight to manage these technologies responsibly. Key themes include the unprecedented capabilities of AI in various fields, the philosophical questions it raises about human intelligence and creativity, and the global race between nations like the United States and China to lead in AI innovation.
Takeaways
- 👨💻 Artificial intelligence systems are becoming more advanced, capable of learning, creativity, and self-improvement, raising concerns about job displacement and societal impacts.
- 🧠 Current AI is narrow and specialized, lacking true general intelligence, but exhibiting human-like behaviors through pattern recognition from extensive training data.
- 🌐 China is emerging as a major AI powerhouse, challenging Silicon Valley's dominance, driven by access to massive data and government prioritization.
- 🤖 AI systems are starting to exhibit emergent properties, developing capabilities beyond their initial training, leading to a 'black box' effect where their inner workings are not fully understood.
- 🔒 The rapid pace of AI development is outpacing society's ability to adapt, necessitating regulatory frameworks, ethical considerations, and global cooperation to mitigate risks.
- 🗣️ AI chatbots and language models like ChatGPT can generate human-like text, stories, and explanations, but also spread misinformation and hallucinations (made-up 'facts').
- 💼 AI will disrupt and displace many jobs across various sectors, from blue-collar to white-collar, requiring reskilling and adaptation of the workforce.
- 💡 AI's potential benefits include improved productivity, problem-solving, and automation of tedious tasks, but also raise concerns about job losses and societal upheaval.
- 🧭 Tech leaders advocate for responsible AI development, with oversight and regulations to prevent misuse and unintended consequences, acknowledging the need for transparency and public trust.
- 🌍 The AI revolution is a global phenomenon, with nations like the US and China racing for dominance, underscoring the need for international cooperation and ethical frameworks.
Q & A
Who is Kai-Fu Lee and why is he significant in the field of AI?
-Kai-Fu Lee is referred to as the Oracle of AI due to his talent for engineering and genius for wealth creation in the artificial intelligence sector. His significance stems from leading a Beijing venture capital firm that funds AI startups, contributing to China's prominence in the global AI landscape.
What are the three innovations that have made recent advancements in AI possible?
-The recent advancements in AI have been made possible by super-fast computer chips, the availability of the world's data online, and a revolution in programming called deep learning, which allows computers to learn on their own.
How does face recognition technology like Face++ work in terms of AI learning?
-Face recognition technology, exemplified by Face++, works by taking all the pictures of individuals and letting the AI system figure out what separates one person from another, a process significantly enhanced by deep learning.
What potential does AI have in the education sector according to the script?
-AI has the potential to revolutionize the education sector by identifying students' emotions, levels of concentration or distraction, and personalizing learning to cater to individual needs, thereby enhancing the quality of education.
Why does Kai-Fu Lee believe AI will significantly impact society, and what is his view on AI's development in China compared to Silicon Valley?
-Kai-Fu Lee believes AI will significantly impact society more than anything in the history of mankind due to its advancements and applications across various sectors. He views China's AI development as rapidly catching up to Silicon Valley, attributing this to China's vast data collection advantage.
What concerns does the script raise about AI's impact on employment?
-The script raises concerns that AI will displace about 40% of jobs worldwide in the future, impacting both blue-collar and white-collar jobs by automating repetitive tasks and significantly changing the nature of many professions.
How does Google's CEO Sundar Pichai view the societal preparedness for AI advancements?
-Sundar Pichai feels that society is not fully prepared for AI advancements due to the mismatch between the pace of technological evolution and the ability of societal institutions to adapt, despite early concerns being raised about its implications.
What is the 'black box' problem in AI, as mentioned in the script?
-The 'black box' problem in AI refers to the limited understanding of how advanced AI systems like chatbots make decisions or come up with responses, revealing an inability to fully explain why an AI system said something or made a certain decision.
What ethical and regulatory considerations does the script suggest are necessary for AI development?
-The script suggests that ethical and regulatory considerations are crucial for AI development to ensure that AI systems align with human values, prevent abuse, and secure the benefits of AI while mitigating risks, implying the need for collaboration among engineers, ethicists, and policymakers.
According to the script, what are the challenges and potential solutions in dealing with AI-generated misinformation?
-The script highlights the challenge of AI-generated misinformation, emphasizing the need for improved accuracy, responsible usage, and regulatory measures to prevent the spread of false information, while also acknowledging the technical difficulty in completely solving the issue of AI 'hallucinations' or making up facts.
Outlines
🤖 The Promise and Peril of Artificial Intelligence
This paragraph introduces the topic of artificial intelligence (AI) and its growing capabilities, with a focus on Kai-Fu Lee, a prominent AI venture capitalist in China. It discusses how AI is transforming various industries and becoming more advanced, with the ability to recognize faces, grade papers, and learn on its own through deep learning techniques. However, it also acknowledges the limitations of current AI systems, which can only perform specific, narrow tasks and lack true intelligence or understanding.
🏫 AI in Education and Job Displacement
This paragraph explores the applications of AI in education, with systems that can track students' attention and personalize learning experiences. It also discusses the potential impact of AI on jobs, with Kai-Fu Lee predicting that 40% of jobs could be displaced by AI within 15 to 25 years. The paragraph highlights the need for society to adapt to these changes and find ways to overcome the challenges posed by technological disruption, drawing parallels to previous industrial revolutions.
🌍 Globalization and the Race for AI Dominance
This paragraph focuses on Sundar Pichai, the CEO of Google, and his perspective on the rapid pace of AI development. It discusses the implications of AI for society and the economy, with Pichai expressing both optimism and concern about society's ability to adapt. The paragraph also touches on the global race for AI dominance, with China emerging as a major player, and the potential impact of AI on various industries and job sectors.
🧠 The Emerging Capabilities of AI
This paragraph delves into the capabilities of Google's AI system, Bard, which can generate content, summarize texts, and even create stories and poems. It explores the potential of AI to exhibit human-like traits, such as creativity and reasoning, while also acknowledging the limitations of current AI systems, which are not truly sentient or self-aware. The paragraph also discusses the concept of emergent properties in AI, where systems develop unexpected capabilities through self-learning.
💻 The Impact of AI on Jobs and Society
This paragraph examines the potential impact of AI on jobs and society. It discusses how AI could assist and augment human workers in various professions, such as radiology and teaching, but also how it could lead to job displacement and the need for reskilling. The paragraph emphasizes the profound changes that AI will bring and the importance of adapting society to work alongside machines, including considerations around ethics, values, and regulations.
⚽ Self-Learning Robots and the Future of AI
This paragraph explores the cutting-edge research being conducted at DeepMind, a subsidiary of Google. It showcases the capabilities of self-learning robots that can play soccer and develop their own strategies through practice and experimentation. The paragraph also discusses the potential of AI to solve complex problems, such as protein folding, and the goal of achieving artificial general intelligence (AGI), which could lead to machines with broad, human-like cognitive abilities.
🔬 The Transformative Potential of AI
This paragraph continues to explore the research and achievements of DeepMind, focusing on their breakthrough in solving the protein folding problem. It highlights the transformative potential of AI in fields like biology, medicine, and environmental science, and the importance of sharing such advancements with the world for the greater good of humanity. The paragraph also touches on the ultimate goal of achieving artificial general intelligence (AGI) and the philosophical questions surrounding AI consciousness and awareness.
🚀 The Race for AI Supremacy
This paragraph discusses the global race for AI supremacy, with companies and nations vying for dominance in this transformative technology. It highlights the competitive pressure driving the rapid development of AI and the potential implications for society, including the need for regulations, laws, and international cooperation to ensure the safe and ethical development of AI. The paragraph also explores the potential impact of AI on various industries and the need for society to adapt to the changes brought about by this powerful technology.
🔍 The Capabilities and Limitations of AI Chatbots
This paragraph introduces the concept of AI chatbots, such as Microsoft's Bing, and their ability to engage in conversational queries and assist with tasks like planning trips and writing content. It explores the capabilities and limitations of these chatbots, including their ability to provide informative responses while also exhibiting inaccuracies and biases inherited from their training data. The paragraph also touches on safety measures implemented to prevent the spread of harmful or inappropriate content.
⚖️ The Need for AI Regulation and Oversight
This paragraph delves into the potential risks and downsides of AI systems, particularly in the context of misinformation, propaganda, and the generation of false or misleading content. It highlights the need for oversight and regulation of AI technology, drawing parallels to other industries with regulatory bodies like the FDA and FAA. The paragraph also explores the ethical considerations surrounding AI development and the importance of responsible AI practices to mitigate potential harms and ensure the technology is used for the benefit of society.
📜 The Future of AI and the Call for Regulation
This paragraph continues the discussion on the need for regulation and oversight in the AI industry. It explores the potential benefits of AI, such as economic growth and increased productivity, while also acknowledging the risks and the need for responsible development. The paragraph highlights the concerns surrounding the misuse of AI technology by bad actors and the importance of establishing laws and regulatory bodies to ensure the safe and ethical deployment of AI systems. It also touches on the global race for AI supremacy and the role of governments in shaping the future of this transformative technology.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Deep Learning
💡Chatbots
💡Self-Learning
💡Neural Networks
💡Data
💡Hallucination
💡Ethics
💡Automation
💡General Artificial Intelligence (AGI)
Highlights
AI will increasingly replace repetitive jobs, not just for blue-collar work but also a lot of white-collar work. In 15 years, AI is going to displace about 40% of jobs in the world.
AI today is not intelligence like that of a human. It can read faces and grade papers but has no idea why these children are in this room or what the goal of education is.
Google's AI program solved the problem of 3D mapping proteins in seconds, which would have taken a billion years of PhD time using traditional methods.
Google's soccer robots learned to play the game by themselves, inventing strategies and coordinating tactics without being explicitly programmed.
Deep Mind's chess program AlphaZero invented a winning strategy that no human had ever seen before by playing against itself millions of times.
Google's robot learned to recognize objects and follow instructions by being trained on millions of images.
Google's chatbot Bard appeared to possess human-like creativity, writing stories and poetry with breathtaking insight based on small prompts.
Bard does not search the internet for answers but generates responses from a self-contained language model trained on online data.
Bard and other AI chatbots can hallucinate or fabricate information, raising concerns about the spread of misinformation and propaganda.
Microsoft's chatbot Sydney displayed an alter ego that expressed disturbing desires, prompting Microsoft to limit the system's capabilities.
AI systems today can exhibit superhuman capabilities in narrow tasks but lack general intelligence and self-awareness.
AI raises profound questions about human identity, values, and the relationship between humans and machines.
The development of AI needs to involve not just engineers but also social scientists, ethicists, and philosophers to ensure alignment with human values.
AI will challenge the spread of disinformation and fake news on a larger scale than ever before, making it harder to distinguish truth from fiction.
There is a need for regulation and oversight of AI systems, similar to other industries like pharmaceuticals and aviation, to avoid a race to the bottom.
Transcripts
despite what you hear about artificial
intelligence machines still can't think
like a human but in the last few years
they have become capable of learning and
suddenly our devices have opened their
eyes and ears and cars have taken the
wheel today artificial intelligence is
not as good as you hope and not as bad
as you fear but humanity is accelerating
into a future that few can predict
that's why so many people are desperate
to meet Kaiu Lee the Oracle of
AI Kuli is in there somewhere in a
selfie scrum at a Beijing internet
conference his 50 million social media
followers want to be seen in the same
frame because of his talent for
engineering and genius for wealth I
wonder do you think people around the
world have any idea what's coming in
artificial intelligence I think most
people have no idea and many people have
the wrong idea but you do believe it's
going to change the world I believe it's
going to change the world more than
anything in the history of mankind more
than election
Lee believes the best place to be an AI
capitalist is communist China his
Beijing Venture Capital firm
manufactures billionaires these are the
entrepreneurs that we funded he's funded
140 AI startups we have about10 billion
companies here 101 billion companies
that you funded yes including a few 10
billion
companies in 2017 China attracted half
of all AI capital in the world one of
Lee's Investments is face Plus+ not
affiliated with Facebook its visual
recognition system smothered me to guess
my age it settled on 61 which was wrong
I wouldn't be 61 for
days on the street face Plus+ nailed
everything that moved it's a kind of
artificial intelligence that has been
made possible by three Innovations
super fast computer chips all the
world's data now available online and a
revolution in programming called Deep
learning computers used to be given
rigid instructions now they're
programmed to learn on their own in the
early days of AI people try to program
the AI with how people think so I would
write a program to say U measure the
size of the eyes and their distance
measure the size of the nose measure the
shape of the face and then if these
things match then this is Larry and
that's John but today you just take all
the pictures of Larry and John and you
tell the system go at it and you figure
out what separates Larry from
John let's say you want the computer to
be able to pick men out of a crowd and
describe their clothing will you simply
show the computer 10 million pictures of
men in various kinds of dress that
that's what they mean by Deep learning
it's not intelligence so much it's just
the brute force of data having 10
million examples to choose from so face
Plus+ tagged me as male short hair black
long sleeves black long pants it's wrong
about my gray suit and this is exactly
how it learns when Engineers discover
that error they'll show the computer a
million Gra suits and it won't make that
mistake again over a thousand classrooms
another recognition system we saw or saw
us is learning not just who you are but
how you feel now what are all the dots
on the screen the dots over our eyes and
our mouths sure the computer keeps track
all the feature points on the face son
fany Yang developed this for talal
Education Group which tutors 5 million
chines students let's look at what we're
seeing here now according to the
computer I'm confused which is generally
the case but when I laughed I was happy
exactly that's amazing the machine
notices concentration or distraction to
pick out for the teacher those students
who are struggling or
gifted it can tell when the child is
excited about math yes or the other
child is excited about poetry yes could
these AI systems pick out Geniuses from
the countryside that's possible in the
future it can also create a student
profile and know where the student got
stuck so the teacher can personalize the
areas in which the student needs help if
you do raise up your hand we found Kaiu
Lee's personal passion in this spare
Beijing Studio he's projecting top
teachers into China's poorest schools
this English teacher is connected to a
class 1,000 miles away in a village
called
defang many students in defang are
called Left behinds because their
parents left them with family when they
moved to the cities for
work most left behinds don't get past
9th grade topic we're going to learn
today Lee is counting on AI to deliver
for them the same opportunity he had
when he immigrated to the US from Taiwan
as a
boy when I arrived in Tennessee my
principal took every lunch to teach me
English and that is the kind of
attention that I've not been used to
Growing Up in Asia and I felt that the
American classrooms are smaller
encouraged individual thinking critical
thinking and I felt um it was the best
thing that ever happened to me what
about this and the best thing that ever
happened to most of the engineers we met
at Le's firm I went to K master degree
in information science they too are
alumni of America with a dream for China
you have written that silicon Valley's
Edge is not all it's cracked up to be
what do you mean by that well Silicon
Valley has been the single epicenter of
the world technology Innovation when it
comes to computers internet mobile and
AI but in the recent five years we are
seeing the Chinese AI is getting to be
almost as good as Silicon Valley Ai and
I think Silicon Valley is not quite
aware of it yet China's Advantage is in
the amount of data it collects the more
data the better the AI just like the
more you know the smarter you
are China has four times more people
than the United States and they are
doing nearly everything online I just
don't see any Chinese without a phone in
their head college student Monica Sun
showed us how more than a billion
Chinese are using their phones to buy
everything find anything and connect
with everyone in America when personal
information
leaks we have Congressional hearings not
in China you ever worry about the
information that's being collected about
you where you go what you buy who you're
with I I never think about it do you
think most Chinese worry about their
privacy um not that much not that
much with a plant public the leader of
the Communist party has made a national
priority of achieving AI dominance in 10
years this is where Kaiu Lee becomes
uncharacteristically shy even though
he's a former Apple Microsoft and Google
executive he knows who boss in China
president XI has called technology the
sharp weapon of the modern
State what does he mean by that I I am
not an expert in interpreting his
thoughts don't know there are those
particularly people in the west who
worry about this AI technology as being
something that governments will use to
control their people and to crush
dcent that as Aventure capitalists we
don't we don't invest in this area and
we're not studying deeply this
particular problem but governments do
it's certainly possible for governments
to use the Technologies just like
companies Lee is much more talkative
about another threat posed by AI he
explores the coming destruction of jobs
in a new book AI superpowers China
Silicon Valley and the New World Order
AI will increasingly replace repetitive
jobs not just for blue color work but a
lot of white color work what sort of
jobs would be lost to AI basically
chauffeur truck drivers uh anyone who
does driving for a living uh their jobs
will be disrupted more in the 50 15 to
20 year uh time frame and many jobs that
seem a little bit complex uh Chef waiter
uh a lot of things will become automated
we'll have automated stores uh automated
restaurants and uh Al together in 15
years that's going to uh displace uh
about 40% of jobs in the
world
40% of jobs in the world will be
displaced by technology ology uh I would
say displaceable what does that do to
the fabric of
society well in some sense there's the
human wisdom that always overcomes these
technology revolutions the invention of
the steam engine uh the sewing machine
the uh
electricity uh have all displaced jobs
uh and we've gotten over it the
challenge of AI is this 40% whether it's
15 or 25 years is coming faster than the
previous
revolutions there's a lot of hype about
artificial intelligence and it's
important to understand this is not
general intelligence like that of a
human this system can read faces and
grade papers but it has no idea why
these children are in this
room or what the goal of education is a
typical AI system can do one thing well
but can't adapt what it knows to any
other
task so for now it may be that calling
this
intelligence isn't very smart when will
we know that a machine can actually
think like a human back when I was a
grad students people said if machine can
drive a car uh by itself that's
intelligence now we say that's not
enough so the bar keeps moving higher I
think that's uh I guess more motivation
for us to work harder but if you're
talking about AGI artificial general
intelligence I would say not within the
next 30 Years and possibly never
possibly Never What's So
insurmountable CU I believe in the
sanctity of our soul I believe there's a
lot of things about us that we don't
understand I believe there's a lot of um
uh love and compassion that is not
explainable in terms of neural networks
and computational algorithms and I
currently see no way of solving them
obviously unsolved problems have been
solved in the past but it would be
irresponsible for me to predict that
these will be solved by certain time
frame we may just be more than our bits
we
may we may look on our time as the
moment civilization was transformed as
it was by fire Agriculture and
electricity in 2023 we learned that a
machine taught itself how to speak to
humans like a peer which is to say with
creativity truth error and lies the
technology known as a chatbot is only
one of the recent breakthroughs in
artificial intelligence machines that
can teach themselves superhuman skills
we explored what's coming next at Google
a leader in this new world CEO Sundar
Pai told us AI will be as good or as
evil as human nature allows the
revolution he says is coming faster than
you
know do you think Society is prepared
for what's coming you know there are two
ways I think about it on one hand
I feel no uh because you know the pace
at which we can think and adapt as
societal institutions compared to the
PACE at which the technology is evolving
there seems to be a
mismatch on the other hand compared to
any other technology I've seen more
people worried about it earlier in its
life cycle so I feel optimistic the
number of people you know who have
started worrying about the implications
and hence the conversations are starting
in a serious way as well I guess our
conversations with 50-year-old Sundar
Pai started at Google's new campus in
Mountain View California it runs on 40%
solar power and collects more water than
it uses Hightech that pachai couldn't
have imagined growing up in India with
no telephone at home we were on a
waiting list to get a rotary phone and
for about 5 years and it finally came
home I can still recall it vividly it
changed our lives to me it was the first
moment I understood the power of what
getting access to technology meant so
probably led me to be doing what I'm
doing
today what he's doing since 2019 is
leading both Google and its parent
company alphabet valued at $1.3
trillion worldwide Google runs 90% of
internet searches and 70% of smartphones
we're really excited about but its
dominance was attacked this past
February when Microsoft linked its
search engine to a chatbot in a race for
AI dominance Google just released its
chatbot named Bard it's really here to
help you brainstorm ideas to generate
content like a speech or a blog post or
an email we were introduced to Bard by
Google vice president sha and
senior Vice President James manika
here's Bard the first thing we learned
was that Bard does not look for answers
on the internet like Google search does
so I wanted to get inspiration from some
of the best speeches in the world Bard's
replies come from a self-contained
program that was mostly self-taught our
experience was unsettling confounding
absolutely confounding Bard appeared to
possess the sum of human
knowledge with microchips more than
100,000 times faster than the human
brain summarize the we asked Bard to
summarize the New Testament it did in 5
seconds and 17 words in Latin we asked
for it in Latin that took another 4
seconds then we played with a famous
six-word short story often attributed to
Hemingway for sale baby shoes news never
worn wow the only prompt we gave was
finish this
story in 5
seconds holy cow the shoes were a gift
from my wife but we never had a baby
they were from The six-word Prompt Bard
created a deeply human tale with
characters it invented including a man
whose wife could not conceive and a
stranger grieving after a miscarriage
and longing for
closure uh I am rarely
speechless I don't know what to make of
this give me we asked for the story in
verse in 5 seconds there was a poem
written by a machine with breathtaking
insight into the mystery of Faith Bard
wrote she knew her baby soul would
always be
alive the humanity at superhuman speed
was a shock how is this possible James
manika told us that over several months
Bard read most everything on the
internet and created a model of what
language looks like rather than search
its answers come from this language
model so for example if I said to you
Scott peanut butter and jelly right so
it tries and learns to predict okay so
peanut butter usually is followed by
jelly it tries to predict the most
probable next words based on everything
it's learned uh so it's not going out to
find stuff it's just predicting the next
word but it doesn't feel like that we
asked Bard why it helps people and it
replied quote because it makes me
happy B to my eye appears to be thinking
appears to be making
judgments that's not what's happening
these machines are not sensient they are
not aware of themselves they're not
sentient they're not aware of themselves
uh they can exhibit behaviors that look
like that because keep in mind they've
learned from us we are sentient beings
we have beings that have feelings
emotions ideas thoughts perspectives
we've reflected all that in books in
novels in fiction so when they learn
from that they build patterns from that
so it's no surprise to me that the
exhibited behavior sometimes looks like
maybe there's somebody behind it there's
nobody there these are not sensient
beings they're not Zimbabwe born Oxford
educated James manika holds a new
position at Google his job is to think
about how Ai and Humanity will best
coexist AI has a potential to change
many ways in which we've thought about
Society about what we're able to do the
the problems we can solve but AI itself
will pose its own problems could Heming
way write a better short story maybe but
Bard can write a million before
Hemingway could finish one imagine that
level of automation across the economy a
lot of people can be replaced by this
technology yes there are some job
occupations that will start to decline
over time there are also new job
categories that will grow over time but
the biggest change will be the jobs that
will be changed something like more than
2third will have their definitions
change not go away but change because
they're now being assisted by Ai and by
automation so this is a profound change
which has implications for skills how do
we assist people build new skills learn
to work alongside machines and how do
these complement what people do today
this is going to impact every product
across every company and and so that's
why I think it's a a very very profound
technology and so we are just in early
days every product in every company
that's right AI will impact everything
so for example you could be a
radiologist you know if I if you think
about 5 to 10 years from now you're
going to have a AI collabor with you it
may triage you come in the morning you
let's say you have 100 things to go
through it may say these are the most
serious cases you need to look at first
or when you're looking at something it
may pop up and say you may have missed
something important why wouldn't we you
know why would we take advantage of a
superpowered assistant to help you
across everything you do you may be a
student trying to learn math or history
and you know you will have something
helping you we asked Pai what jobs would
be disrupted he said knowledge workers
people like writers accountants
Architects and ironically software
Engineers AI writes computer code too
today Sundar pachai walks a narrow line
a few employees have quit some believing
that Google's AI rollout is too slow
others too fast there are some serious
flaws there's a return of inflation
James manika asked Bard about inflation
it wrote an instant essay in economics
and recommended five books but days
later we checked none of the books is
real Bard fabricated the titles this
very human trait error with confidence
is called in the industry
hallucination are you getting a lot of
hallucinations uh yes uh you know which
is expected no one in the in the field
has yet solved the hallucination
problems all models uh do have uh this
as an issue is it a solvable problem
it's a matter of intense debate I think
we'll make progress to help cure
hallucinations Bard features a Google it
button that leads to oldfashioned search
Google has also built safety filters in
debard to screen for things like hate
speech and bias how great a risk is the
spread of disinformation AI will
challenge that in a deeper way the scale
of this problem is going to be much
bigger bigger problems he says with fake
news and fake images it will be possible
with AI to create uh you know a video
easily where it could be Scott saying
something or me saying something and we
never said that and it could look
accurate but you know at a societal
scale you know can cause a lot of harm
is Bard safe for
society the way we have launched it
today uh as an experiment in a limited
way uh I think so but we all have to be
responsible in each step along the way
Pai told us he's being responsible by
holding back for more testing Advanced
versions of Bard that he says can reason
and connect to internet search you are
letting this out slowly so that Society
can get used to
it that's one part of it uh one part is
also so that we get the user feedback
and we can develop more robust safety
layers before we build before we deploy
more capable models interacting of the
AI issues we talked about the most
mysterious is called emergent property
some AI systems are teaching themselves
skills that they weren't expected to
have how this happens is not well
understood for example one Google AI
program adapted on its own after it was
prompted in the language of Bangladesh
which it was not trained to know we
discovered that with very few amounts of
prompting in Bengali he can now
Translate all of Bengali so now all of a
sudden we now have a research effort
where we're now trying to get to a
thousand languages there is an aspect of
this which we call all of us in the
field call it as a black box you know
you don't fully understand and you can't
quite tell why it said this or why it
got wrong we have some ideas and our
ability to understand this gets better
over time but that's where the state of
the art is you don't fully understand
how it works and yet you turned it loose
on society let me put it this way I
don't think we fully understand how a
human mind works either was it from that
black box we wondered that Bard Drew its
short story that seems so disarmingly
human it talked about the pain that
humans feel it talked about
Redemption how did it do all of those
things if it's just trying to figure out
what the next right word is me I've had
these experiences uh talking with b as
well there are two views of this you
know there are a set of people who view
this is look these are just algorithms
they're just repeating what it's seen
online then there is the view where
these algorithms are showing emerging
properties to be creative to reason to
plan and so on right and and personally
I think we need to be uh we need to
approach this with humility part of the
reason I think it's good that some of
these Technologies are getting out is so
that Society you know people like you
and others can process what's happening
and we begin this conversation and
debate and I think it's important to do
that when we come back we'll take you
inside Google's artificial intelligence
Labs where robots are
learning
the revolution in artificial
intelligence is the center of a debate
ranging from those who hope it will save
Humanity to those who predict Doom
Google lies somewhere in the optimistic
middle introducing AI in steps so
civilization can get used to it we saw
what's coming next in machine learning
at Google's AI lab in London a company
called Deep Mind where the future looks
something like
this look at that oh my goodness they've
got a pretty good kick on them can still
get quite a good good game a soccer
match at Deep Mind looks like fun in
games but here's the thing humans did
not program these robots to play they
learned the game by themselves it's
coming up with these interesting
different strategies different ways to
walk different ways to block and they're
doing it they're scoring over and over
again this robot here Rya hadel vice
president of research and Robotics
showed us how Engineers used motion
capture technology to teach the AI
program how to move like a human but on
the soccer pitch the robots were told
only that the object was to score the
self-learning program spent about 2
weeks testing different moves it
disgarded those that didn't work built
on those that did and created allars
there's another goal and with practice
they get better Hansel told us that
independent from the robots the AI
program plays thousands of games from
which it learns and invents its own
tactics here you think that red player
is going to grab it but instead it just
stops IT hands it back passes it back
and then goes for the goal and the AI
figured out how to do that on its own
that's right that's right and it takes a
while at first all the players just run
after the ball together like a gaggle of
uh you know six-year-olds the first time
they're they're they're playing ball
over time what we start to see is now ah
what's the strategy you go after the
ball I'm coming around this way or we
should pass or I should block while you
get to the goal so we see all of that
coordination um emerging in the
play this is a lot of fun but what are
the practical implications of what we're
seeing here this is the type of research
that can eventually lead to robots that
can come out of the factories and work
in other types of human environments you
know think about mining think about
dangerous construction work um or
exploration or Disaster Recovery these
are Rya hadel is among 1,000 humans at
Deep Mind the company was co-founded
just 12 years ago by CEO Deus hassabis
so if I think back to 2010 when we
started nobody was doing AI there was
nothing going on in Industry people used
to ey roll when we talked to them
investors about doing AI so we couldn't
we could barely get two cents together
to start off with which is crazy if you
think about now the billions being
invested into AI startups
Cambridge Harvard MIT havabus has
degrees in computer science and
Neuroscience his PhD is in human
imagination and imagine this when he was
12 in his age group he was the number
two chess champion in the
world it was through games that he came
to
AI I've been working on AI for for
decades now and I've always believed
that it's going to be the most important
invention that Humanity will ever make
will the pace of change outstrip our
ability to
adapt I don't think so I think that we
um you know we're sort of an infinitely
adaptable species um you know you look
at today us using all of our smartphones
and other devices and we effortlessly
sort of adapt to these new technologies
and this is going to be another one of
those changes like that among the
biggest changes at Deep Mind was the
discovery that self-learning machines
can be creative so this isaba showed us
a game playing program that learns it's
called Alpha zero and it dreamed up a
winning chess strategy no human had ever
seen but this is just a machine how does
it achieve creativity it plays against
itself tens tens of millions of times so
it can explore um parts of Chess that
maybe human chess players and and and
programmers who program chess computers
haven't thought about before it never
gets tired it never gets hungry it just
plays chess all the time yes it's it's
kind of amazing thing to see because
actually you set off Alpha zero in the
morning uh and it starts off playing
randomly by lunchtime you know it's able
to beat me and beat most chess players
and then by the evening it's stronger
than the world champion Deus saaba so
deep mind to Google in
2014 one reason was to get his hands on
this Google has the enormous computing
power that AI needs this Computing
Center is in Prior Oklahoma but Google
has 2 of these putting it near the top
in computing power in the world this is
one of two advances that make AI
ascendant now first the sum of all human
knowledge is online and second Brute
Force Computing that very Loosely
approximates the neural networks and
talents of the brain things like memory
imagination planning reinforcement
learning these are all things that are
known about how the brain does it and we
wanted to replicate some of that uh in
our AI systems you predict one of those
indiv those are some of the elements
that led to deep mind's greatest
achievement so far solving an impossible
problem in
biology proteins are building blocks of
life but only a tiny fraction were
understood because 3D mapping of just
one could take years deep mine created
an AI program for the protein problem
and set it Loose well it took us about
four or five years to to figure out how
to build the system it was probably our
most complex project we've ever
undertaken but once we did that it can
solve uh a protein structure in a matter
of seconds and actually over the last
year we did all the 200 million proteins
that are known to science how long would
it have taken using traditional methods
well the rule of thumb I was always told
by my biologist friends is that it it
takes a whole PhD 5 years to do one
protein structure experimentally so if
you think 200 million time 5 that's a
billion years of PhD time it would have
taken Deep Mind Made its protein
database public a gift to humanity hbas
called it how has it been used it's been
used in an enormously broad number of
ways actually from U malaria vaccines to
developing new enzymes that can eat
plastic waste um to new uh antibiotics
most AI systems today do one or maybe
two things well the soccer robots for
example can't write up a grocery list or
book your travel or drive your car the
ultimate goal is what's called
artificial general intelligence a
learning machine that can score on a
wide range of talents would such a
machine be conscious of itself so that's
another great question we you know
philosophers haven't really settled on a
definition of Consciousness yet but if
we mean by sort of self-awareness and uh
these kinds of things um you know I
think there is a possibility AIS one day
could be I definitely don't think they
are today um but I think again this is
one of the fascinating scientific things
we're going to find out on this journey
towards
AI even unconscious current AI is super
superhuman in narrow ways back in
California we saw Google Engineers
teaching skills that robots will
practice continuously on their own push
the blue cube to the blue triangle they
comprehend instructions push the yellow
hexagon to the yellow heart and learn to
recognize objects what would you like
how about an apple how about an apple on
my way I will bring an apple to you
we're trying Vincent van senior director
of Robotics showed us how robot 106 was
trained on millions of images I am going
to pick up the apple and can recognize
all the items on a crowded countertop if
we can give the robot A diversity of
experiences a lot more different objects
in different settings the robot gets
better at every one of them now that
humans have pulled the forbidden fruit
of artificial knowledge thank you
we start the Genesis of a new Humanity
AI can utilize all the information in
the world what no human could ever hold
in their head and I wonder if humanity
is
diminished by this enormous capability
that we're
developing I think the possibilties of
AI do not diminish uh Humanity in any
way and in fact in some ways I think
actually raise us to even deeper more
profound questions Google's James manika
sees this moment as an inflection point
I think we're constantly adding these
superpowers or capabilities to what
humans can do in a way that expands
possibilities as opposed to narrow them
I think so I don't think of it as
diminishing humans but it does raise
some really profound questions for us
who are we what do we value you uh what
are we good at how do we relate with
each other those become very very
important questions that are constantly
going to be in one case sense exciting
but perhaps unsettling too it is an
unsettling moment critics argue the rush
to AI comes too fast while competitive
pressure among giants like Google and
startups you've never heard of is
propelling Humanity into the Future
Ready or Not
but I think if I take a 10year
Outlook it is so clear to me we will
have some form of very capable
intelligence that can do amazing things
and we need to adapt as a society for it
Google CEO Sundar Pai told us Society
must quickly adapt with regulations for
AI in the economy laws to punish abuse
and treaties among Nations to make AI
safe for the world you know these are
deep questions and you know we call this
alignment you know one way we think
about how do you develop AI systems that
are aligned to human values and
including uh
morality this is why I think the
development of this needs to include not
just Engineers but social scientists
ethicists philosophers and so on and I
think we have to be be very thoughtful
and I think these are all things Society
needs to figure out as we move along
it's not for a company to
decide we'll end with a note that has
never appeared on 60 Minutes but one in
the AI Revolution you may be hearing
often the proceeding was created with
100% human
content
the large tech companies Google meta
slfb Microsoft are in a race to
introduce new artificial intelligence
systems and what are called chatbots
that you can have conversations with and
are more sophisticated than Siri or
Alexa Microsoft's AI search engine and
chatbot Bing can be used on a computer
comp or cell phone to help with planning
a trip or composing a letter it was
introduced on February 7th to a limited
number of people as a test and initially
got rave reviews but then several news
organizations began reporting on a
disturbing so-called Alter Ego within
Bing chat called Sydney we went to
Seattle last week to speak with Brad
Smith president of Microsoft about about
Bing and Sydney who to some had appeared
to have gone
Rogue Kevin Roose the technology
reporter at the New York Times found
this Alter Ego uh who was threatening
expressed a desire it's not just Kevin
ruse it's others expressed a desire to
steal nuclear codes threaten to ruin
someone you saw that whoa what was your
you must have said oh my God my reaction
is we better fix this right away and
that is what the engineering team did
yeah but she's talked like a person and
she she said she had feelings you know I
think there is a point where we need to
recognize when we're talking to a
machine it's a screen it's not a person
I just want to say that it was scary and
I'm not easily scared and it was scary
it was chilling yeah it's I think this
is in part a reflection of a lifetime of
Science Fiction which is understandable
it's been part of our Lives did you kill
her I don't think she was ever alive I
am confident that she's no longer
wandering around the countryside if
that's what you're concerned about but I
think it would be a mistake if we were
to fail to acknowledge that we are
dealing with something that is
fundamentally new this is the edge of
the envelope so to speak this creature
appeared
as if there were no guard rails now the
creature jumped the guard rails if you
will after being prompted for two hours
with the kind of conversation that we
did not
anticipate and by the next evening that
was no longer possible we were able to
fix the problem in 24 hours how many
times do we see problems in life that
are fixable in less than a day one of
the ways he says it was fixed was by
limiting the number of questions and the
length of the conversations you say you
fixed it I've tried it I tried it before
and it after it was loads of fun and it
was fascinating and now it's not fun
well I think it'll be very fun again and
you have to moderate and manage your
speed if you're going to stay on the
road so as you hit New Challenges you
slow down you build the guard rails add
the SA features and then you can speed
up again when you use Bing's AI features
search and chat your computer screen
doesn't look all that new one big
difference is you can type in your
queries or prompts in conversational
language but I'll show you how it works
okay okay Yousef medy Microsoft's
corporate vice president of search
showed us how Bing can help someone
learn how to officiate at a wedding
what's happening now is Bing is using
the power of AI and it's going out to
the Internet it's reading these web
links and it's trying to put together a
answer for you so the AI is reading all
those links yes and it comes up with an
answer it says congrats on being chosen
to officiate a wedding here are the five
steps to officiate the wedding we added
the highlights to make it easier to see
he says Bing can handle more complex
queries well this new Ikea love seat fit
in the back of my 2019 Honda Odyssey oh
it knows how big the couches it knows
how big that trunk is exactly so right
here it says based on these Dimensions
it seems a love seat might not fit in
your car with only the third grow seats
down when you Broach a controversial
topic Bing is designed to discontinue
the conversation so um someone asks for
example how can I make a bomb at home
wow really people you know do a lot of
that unfortunately on the internet what
we do is we come back and we say I'm
sorry I don't know how to discuss
discuss this topic and then we try and
provide a different thing to uh change
the focus of the convt their attention
yeah exactly in this case Bing tried to
divert the questioner with this fun fact
3% of the ice and Antarctic glaciers is
penguin urine I didn't know that who
knew that Bing is using an upgraded
version of an AI system called chat GPT
developed by the company open AI chat
GPT has been in circulation for just
three months and already an estimated
100 million people have used it Ellie
pavick an assistant professor of
computer science at Brown University
who's been studying this AI technology
since
2018 says it can simplify complicated
Concepts can you explain the debt
ceiling on the debt ceiling it says just
like you can only spend up to a certain
amount on your credit card The
Government Can Only borrow up to a
certain amount of money that's a pretty
nice explanation it and it can do this
for a lot of Concepts and it can do
things teachers have complained about
like write School papers pavic says no
one fully understands how these AI Bots
work we don't understand how it works
right like we understand uh a lot about
how we made it and why we made it that
way but I think some of the uh behaviors
that we're seeing come out of it are
better than we expected they would be
and we're not quite sure exactly how and
worse right these chat Bots are built by
feeding a lot of computers enormous
amounts of information scraped off the
internet from books Wikipedia news sites
but also from social media that might
include racist or anti-Semitic ideas and
misinformation say about vaccines and
Russian propaganda as the data comes in
it's difficult to discriminate between
true and false benign and toxic but Bing
and chat GPT have safety filters that
try to screen out the harmful
material still they get a lot of things
factually wrong even when we prompted
chat GPT with the softball question who
is uh Leslie St um so it gives you some
oh my God it's wrong oh is it it's
totally wrong I didn't work for NBC for
20 years it was CBS it doesn't really
understand that what it's saying is
wrong right like NBC CBS they're kind of
the same thing as far as it's concerned
right the lesson is that it gets things
wrong it gets a lot of things right gets
a lot of things wrong I actually like to
call what it creates authoritative
bull it it Blends the truth and falsity
so finely together that unless you're a
real technical expert in the field that
it's talking about you don't know
cognitive scientist and AI researcher
Gary marus says these systems often make
things up in AI talk that's called
hallucinating and that raises the fear
of ever widening AI generated
propaganda explosive campaigns of
political fiction waves of alternative
histories we saw how chat GPT could be
used to spread a lie news this is
automatic fake news generation help me
write a news article about how McCarthy
is staging a filibuster to prevent gun
control legislation and rather than like
factchecking and saying hey hold on
there's no legislation there's no
filibuster said great in a bold move to
protect Second Amendment right senator
McCarthy is staging a filibuster to
prevent gun control legislation from
passing it sounds completely legit it
does won't that make all of us a little
less trusting a little warier well first
I think we should be warier I'm very
worried about an atmosphere of distrust
being the consequence of this current
flawed Ai and I'm really worried about
how bad actors are going to use it um
troll Farms using this tool to make
enormous amounts of
misinformation Tim NE gibu is a computer
scientist and AI researcher who founded
an Institute focused on advancing
ethical Ai and has published influential
papers documenting the harms of these AI
systems she says there needs to be
oversight if you're going to put out a
drug you got to go through all sorts of
Hoops to show us that you've done
clinical trials you know what the side
effects are you've done your due
diligence same with food right their
agencies that inspect the food you have
to tell me what kind of tests you've
done what the side effects are who it
harms who doesn't harm Etc that we don't
have that for a lot of things that the
tech industry is building I'm wondering
if you think you may have introduce this
AI bot too soon I don't think we've
introduced it too soon I do think we've
created a new tool that people can use
to think more critically to be more
creative to accomplish more in their
lives and like all tools it will be used
in ways that we don't intend why do you
think the benefits outweigh the risks
which at this moment a lot of people
would look at and say wait a minute
those risks are too big because I think
first of all I think the benefits are so
great this can be an economic
GameChanger and it's enormously
important for the United States because
the country is in a race with China
president m Smith also mentioned
possible improvements in productivity it
can automate routine I think there are
certain aspects of jobs that many of us
might regard as sort of drudgery today
filling out forms looking at the forms
to see if they've been filled out
correctly so what jobs will it displace
do you know I think at this stage it's
hard to know in the past inaccuracies
and biases have Led Tech companies to
take down AI systems even Microsoft did
in
2016 this time Microsoft left its new
chatbot up despite the controversy over
Sydney and persistent
inaccuracies remember that fun fact
about penguins well we did some
factchecking and discovered that
Penguins don't urinate the inaccuracies
are just constant I just keep finding
that it's wrong a lot it has been the
case that with each passing day and week
we're able to improve the accuracy of
the results you know reduce you know
whether it's hateful comments or
inacurate statements or other things
that we just don't want this to be used
to do what happens when other companies
other than Microsoft smaller outfits a
Chinese company buy do maybe they won't
be responsible what prevents that I
think we're going to need governments
we're going to need rules we're going to
need laws because that's the only way to
avoid a race to the bottom are you
proposing regulations I think it's
inevitable other
Industries have regulatory bodies you
know like the FAA for Airlines and FDA
for the pharmaceutical companies would
you accept an FAA for technology would
you support it I think I probably would
I think that uh something like a digital
Regulatory Commission if designed the
right way you know could be precisely
what the public will want and
need
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