tv [untitled] October 18, 2024 1:30pm-2:01pm EDT
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components are doing that she is not aware of. she's calling me up with information i wasn't aware of. that kind of knowledge collaboration from a practices work remotely are in touch about how they are going about implementing ideas and we learn a lot from the ages looks. hopefully they reciprocal learning process but collaboration between the offices, civil liberties production office, it is increasing, you see it in past forces and for and more
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ipsilateral lines of communications that have proven salvation a lot of the challenges we are faced with, more so than these characters. >> so is external oversight and it is a challenge in the criminal justice and intelligence arena. we are going to be able to count on overseers in the agency. sitting up privacy oversight board use of a.i.
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>> that has been my career for the last 25 years. there's nothing i want to raise, the most effective thing we can do is to a bunch of violence. go out and try and figure out they have a lot of assets and financial considerations. teacher, don't just heard things, start with simple things. use a.i. for documents and then
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something more complicated. you were to start with easier things is growing rather than just jumping in, building trust and addressing challenges in support policy development and generate feedback so you can improve going forward. >> yes, there will be annual inventory. [laughter] overall technology changes rapidly. people find new ways to find technology. i know a lot of the conversation today has been on a.i. government needs to be able to
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adapt to that so ethical infrastructure cannot means making sure people will they are trained and can you the work will but it also means getting people out the door that have expertise. we have talked about emerging technology. >> it's about the human machine from a human centered design of that interface and making sure they are ultimately the ones taking ownership of this and consistently held responsible.
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>> we are exceptionally lucky. he will take a few questions if you have time, not a long but we will screen them. you done so many things. i told you is probably the only person in congress studying artificial intelligence so a true expert, thank you for coming. >> according. a big overstatement. we hear and have been reading this for many years.
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this is my first opportunity seek with you. thank you for taking a day to do a deep dive and no a.i. is being used as the department of justice. the legislative branch about a car dealer in the committee. i get lots of invitation but i've been fascinated in the amount of information available to us and what we can use, see, learn from. we generated more information on june the first 2000 years.
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the leader appointed earlier this year. machine learning masters in the democrat who majored in this in the most bipartisan thing on capitol hill. not that warm a place to work but we done everything this year together and trying to be a great role model. we've been able to bring in from the capitalist and is creators
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turns out happened to her and put together the defined act in the first bill in november and before now, it is not illegal to do sexual deep they of your ex and her boyfriend so this is very necessary. one of the primary reasons i got involved is ten years ago republican friends started a suicide is forced to go along with everything. the number groups of.
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great job with pediatricians and nurses asking people, are you about killing yourself once they last returns but i was about to kill myself which was wonderful but the ones we don't know because when you intervene like fault line calls to a three years ago, they had 3000 calls the previous years and how many times did they end up dying, they answer was one. that they knew of the predict
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for a small edition of who might be at risk you can find 18 more, maybe we could drop to 45 or 45000 or even less. i'm thrilled you are using this. when you look at the top ten concerns around the world, five have to do with brought in cheating and large criminal networks. ways and means committee, we gave away or invested 800 billion in two those with
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i'm not an expert specifically especially from older people build and procure doing this, i have no law enforcement background, i can't give great insight but until you're doing it. one of the bigger bureaucratic x assumptions, a set of four whole new major infrastructure just to do a.i. in the department of
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offense and homeland security to do their own thing. we pick up the work you're doing will be very different for you need to develop your own answers and hopefully structure the whole thing together in the biggest way and the highest priority making sure it is funding with the resources it needs. mit and san francisco making tons of money so i get them for a year and make a lot more money, how do we deal with that? the greatest contribution that technology.
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coming in from what was the opposite of what they've done is very regulatory so the notion is that some regulation will be great so i've been away for about five years and didn't understand all of any of those systems faster, quicker and better than before. all fluids implementing our immigrants who don't have college education. >> i have a joke and can't remember what was left for what
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the idea that it makes it harder to steal, republican pushback is the 20 step closer to taking over so it's a meaningful debate. >> i'd be curious -- >> please introduce yourself. >> my name is gail. i'm curious, where you feel you diverted how has it surprise you? >> the only one not in blue jeans and a t-shirt.
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