thanks so much for watching "strange inheritance." and remember -- you can't take it with you. sunday." >> this hour -- >> maybe we'll all have wires coming out of our bodies one day. >> this is potentially saving people's lives? >> yes. maria: to transportation. to protecting our troops. >> i don't want the kill decision to be made by a sleep-deprived 19-year-old kid. maria: but what could it mean for humanity and is a.i. dangerous in the wrong hands. >> the political military version of a.i. is on the horizon. maria: when you hear the word artificial intelligence, what comes to mind. take a second to think about it.

do you realize how prominent a.i. is in your life today? maybe you use facial recognition on your smart phone or gps to help you avoid traffic. the capability of a machine to imitate intelligent human behavior. imitate. but we have only scratched the surface. will computers transcend human behavior? will we be cohabitating with robots? are we heading towards a future that doesn't need us as in human beings. artificial intelligence is change our lives from the way we do our jobs to the way we do business to the way we drive a car to the national security tools we use. it has the potential to transform the world making us healthier and safer but at what

cost? tonight, the leading minds will help us understand the good, the bad, and the scary. this new technology brings with it concerns. your assistants are getting smarter. the next level of computing has arrived. and it's software studying your routines. listening to your voice and recognizing your speech. watching you work. learning your habits. enabling the machine to take over routine tasks. manage simple calls to return good. organize data. map out a ride, all good from point to point. >> most of people have seen personal computers and cell phones and other devices get smarter with software. but the next kind of software is the a.i. software which takes a lot of information from the real world and can understand it in a way that is too intense for

people to program by hand. so an aivment can do things that are very hard for humans to do because they can look at millions of pictures and find common elements and look at a million eyes and understand which ones are diseased and which ones are not. >> in certain areas of path oughty and raid ollie we can show in cancer detection the computer does a better job than the doctor. maria: the machine will mine through data quickly. the more data collected, the better equipped it will be to anticipate your next move. finish your next sentence. it's artificial intelligence and it's job killing and life-saving. >> let's say we wanted to train a machine. the director of research at ibm. >> it's a well defined task.

if i have lots and lots of examples of the past. you could use all those examples to train a machine and network to be able to sort of make a determination as to whether it is malign or not. maria: the a.i. healthcare market is slated to expand to $36.1 billion in 2025. >> we have been an investor in healthcare. this is a long road. but this is one of the industries so badly in need of aivment. maria: the ceo of ibm mines data to get ahead of disease from cancer to parkinson's. >> we have been working on health and oncology. it's one of the early thing we

started on. we are in 300 hospitals and over 125,000 patients around the world where ai helped the doctor identify the diagnosis and treatment. at mayo klein i can, almost every patient goes through to find out if there is a clinical trial match. you didn't realize how infrequently they were done or done with precision. maria: this is potentially saving people's lives. >> yes, it is. >> in 2013 i was diagnosed with breast cancer and treated in massachusetts general hospital. maria: based on her own diagnosis, the m.i.t. professor is using artificial intelligence to help with artificial intelligence. >> even though m.i.t. and ngh

are just one stop away, they are ages away in terms of technology. a lot of times with machines doing very well in many other industries, they are not doing them in healthcare, which is -- if i affects all of us. >> using data from 60,000 patients, the professor uses a mammogram to learn patterns in breast tissues that could be precursors of cancer. you it can predict cancer as far as five years into the future. >> we are able to detect breast cancer earlier than a radiologist might. maria: the provost at m.i.f.'s teams are driving research. a radiologist and a machine algorithm is doing transformative things in terms of detection of breast cancer.

we have faculty to bring down all the record for ways that have been synthesized for all the literature. and it allows you to design specific chemicals and compounds. you think about that in the realm of drug discovery. maria: before saving lives we'll have to survive the job kill. a.i. is eliminating white collar jobs faster than you think. >> a large number of jobs will be displaceable by a.i. in the next 15 years. maria: the meteoric rights of aivment, we'll be right back. this is an athlete, twenty reps deep, sprinting past every leak in our softest, smoothest fabric. she's confident, protected, her strength respected. depend. the only thing stronger than us, is you. she's confident, protected, her strength respected. in these uncertain times, look after yourself, your family, your friends.

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maria: electtro come here. maria: electro the robot in queens new york. but it was a man controlling the machine. the creation of artificial intelligence where a machine could move and think for itself was decades away.

>> a robot will not harm a human being or through inaction allow a human being come to harm. a robot must obey orders given it by qualified personnel. rule number three, a robot must protect its own existence. maria: though a literary idea at the time. in the years since a.i. has seen a number of major miem stones. 19 -- major milestones. 1950, the initia the ino compute turing test. if a person can't tell the difference between a machine's answer and humans. john mccarthy looking to make

a machine reason like a human. scientists begin to debate if a.i. could become a reality. >> i'm convinced machine can and will think. i don't mean machines will behave like men. i don't think for a long time we'll have a difficult problem distinguishing a man from a robot and i don't think my daughter will marry a computer. maria: a chad pod is claimed he- named eliza. 1968, "2001, a space odyssey featuring one of the most of sophisticated computers. the film intrigued and terrified viewers. >> this conversation can serve no purpose anymore.

reporter: millions of americans bring a mac or pc into their home. 1997wai scores another win lit a toughly and figuratively. deep blue defeats the world chess champion. 2000 as we see a newly limb yum sun microsystems co-founder bill joy pens a piece for wired magazine called "why the future doesn't need us." making human beings an endangered species. >> we give individuals so much power that we most ability to make choice because those are made for us. maria: a.i. goes further into

the mainstream as siri becomes a virtual assistant. >> this town is known as sin city. and its downtown is known as liver gulch. >> a two-day total of $77,147. maria: during a match of go considered to be the world's most of complex game. here, too, a computer wins. >> we are going to see today -- maria: a.i. is everywhere. i visited ibm's ai labs in new york. here they are trying to get ahead of wildfires using artificial intelligence to detect which forest is most of

vulnerable. >> we have hundreds of layers of jeof -- of geospacious data. this is where fires took place in california, and what we do here is we take layers and we have selected a few layers, vegetation index of the united states, daily precipitation and temperature data. so we take that, and in a matter of hours we can create an ai model that uses that data to create a wildfire index prediction. maria: at m.i.t. in cambridge, massachusetts, the professors ruse is in charge of the computer science and artificial intelligence lab at m.i.t. her students are identifying jobs people don't want, like

separating recycled bottles and cans. >> this robot is able to grab an object, squeeze it a little bit to figure out what material it's made up. and it decides it's made of metal, plastic or paper and it recycled it automatically. this is extraordinary because recycling is such a terrible job. we hope to offer people working in the recycling injury to operate the robots from a distance. maria: but artificial intelligence is only as effective as the information it is given. if there is bias in the data, the result will reflect it.

the results were mixed on the chihuahua puppy and blueberry muffin. >> they are running around doing errands for us, but it's the job of the human to interpret what the system has done. for this reason, the use of these technologies require that we think carefully about how we insure consumer confidence. maria: in march of 2018 an uber self-driving car made national headlines after striking and killing pedestrian in tempe, arizona. the incident heightened the public's concerns over how ready we are for self-driving vehicles to hit the streets. a self-driving vehicle has sensors that perceive the world around it.

similar to the way we use our eyes. >> all of the driving experience we train and test the vehicle, it never forgets that experience. >> the founder and ce off of an autonomous vehicle platform company lead headquarters in pittsburgh. he says self-driving cars will be safer than humans behind the wheel. >> it never gets distracted. we'll be able to i believe eliminate roadway fatalities and injuries. we are teaching the car to see, so it has to have perception. maria: the ceo of ford motor. >> we are teaching it to decide. as it gets input, it has to make choices. and it's teaching it to direct. maria: ford joined forces with volkswagen investing $2.6 billion in argo.

maria: it's in self-driving mode? >> yes. you can see green lights just above the dashboard. maria: i took a trip out to argo headquarters where they took me for a test run. >> the computer said i want to go that direct. the other one is the steady green. when there is a steady green light, you know you are in auto. the next part, there are real people on the road, and we can learn everything we need to after the fact by taking log data we are storing on the computers in the car. we can pull that data out and replay what was going on. what was the car thinking. and what it would have done. >> am i in danger of my car getting hacked and driving somewhere i don't want to go?

>> this is a big challenge even with vehicles. the way we designed it today, in our architecture we cordoned off the system so a hacker can't get inside and have control of the whole car. particularly the power and acceleration and steering. it is the kind of thing that you are trading here, you will have all this power that will hope you have a better day in your life that some bad people will try to figure out how to manipulate that. maria: if machines are so good at our jobs, where does that leave the rest of us. the power of a.i. sparks debates about the ethics of hey, can i... hold on one second... sure. okay... okay! safe drivers save 40%!!! guys! guys! check it out. safe drivers save 40%!!! safe drivers save 40%! safe drivers save 40%!!! that's safe drivers save 40%. it is, that's safe drivers save 40%.

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now back to "artificial intelligence, the coming revolution." maria: in the summer of 2019, two million people took to the streets of hong kong to protest

china's authoritarian rule, knock down facial recognition cameras in the process. they used the cameras to identify anyone attending the protests. china has an advanced state sponsored surveillance network. >> china is willing to be much more aggressive. it doesn't see any restraints. >> they are willing to use and apply a.i. in all these ways where we are slower. maria: the ability of a computer to recognize a person's face can be used for unlocking your phone or photos. this a.i. bar in london uses your face to put you in a queue

when you walk up to a bar. the fierce over privacy and human rights expand across the world. >> china has so much data because they are running a police surveillance state. maria: his company makes drones and military warfare. >> i don't think the people of the united states want or will accept mass surveillance of our population. i am not going to work on that technology because i don't want it to be used that way. maria: san francisco became the first american city to want use of facial recognition. civil liberties groups worried about abuse by government. >> it will help us cure cancer and address almost every issue that we are concerned about. but it-also raise new concerns. something like facial

recognition. it can be used to follow us around the shopping mall. it can be used in other countries to open the door to mass surveillance. maria: google's project uses a.i. to pinpoint intelligence from drones. google says it's as simple as its principles did not line up with the government. facial recognition is only one part of the power of a.i. from machine learning images and data collection and its potential to replace millions of jobs. it's sparking a debate on how to unleash it in an ethical way. >> it's a little like nuclear. you don't let everyone have nuclear bombs. maria: the black stone group -- you get the m.i.t. $350 million

and they will build the scooflt computer. this is a big number. it's obviously going to move the needle at m.i.t. >> i met a lot of the people, and they have a national policy of developing artificial intelligence using their universities, their come this and military. and i looked at what was going on in the united states and we didn't have that level of focus. maria: he pledged $190 million to oxford university. >> part of it is in the hands of people. so we can control, regulate other types of mechanisms to introduce the technology in a way that is really good for people. and minimizes disruption. it's like