00:00Chairman Lemmes, thank you very much. Mr. Smith, Mr. Smith mentioned data
00:06privacy, which has been a topic of mine for a long time, and we've been
00:10unsuccessful in legislation being adopted, but I still have the goal of
00:16making certain that consumers have control over their own data. And I was
00:21going to ask you, Mr. Altman, how can we provide consumers with more control over
00:25how their data is used by AI companies while preserving the utility of the AI
00:30system? So how do you get more privacy and still get the benefits? So there's all
00:36of the standard privacy controls that companies like ours and others build and
00:39should, but there's a new area that I'd love to flag for your consideration, which
00:43is people are sharing more information with AI systems than I think they have
00:49with previous generations of technology, and the maximum utility of these systems
00:53happens when the model can get very personalized to you. So this is a
00:58wonderful thing, and we should find a way to enable it, but the the fact that
01:02these AI systems will get to know you over the course of your life so well I
01:06think presents a new challenge and level of importance for how we think about
01:11privacy in the world of AI, how we're going to think about guaranteeing people
01:15privacy when they talk to an AI system about whatever's happened in their lives,
01:18how we make sure that when one system connects to another it shares the
01:22appropriate information and doesn't share other information and that users are in
01:25control of that. I believe this will become one of the most important issues
01:30with AI in the coming years as people come to integrate this technology more into
01:33their lives, and I think it is a great area for you all to think about and take
01:39quite seriously.
01:40We do, we just don't have any success in finding the conclusions, but thank you for
01:44the encouragement. I chair a Commerce Justice Science Appropriations Subcommittee that funds
01:51the Department of Justice, and it plays a significant role in cybersecurity of our
01:57country. I just came from a budget hearing with the FBI Director, Dr. Patel, in which
02:04we covered cybersecurity threats. AI can use, and I think this is true, AI can be used on both sides of a
02:12cybersecurity attack, and it can be used to automate, automate phishing, malware
02:18creation, but machine learning can also increase our ability to detect and respond
02:24to cyber threats. What should Congress think about allocation of federal
02:28resources for cybersecurity, and what should we consider when it comes to AI?
02:34Well, I would say that, you know, AI, as you said, is both an offensive weapon and a defensive shield when it
02:42comes to cybersecurity. And as with many other things, the frontline of this the last few
02:50years has been in Ukraine, because Russia has such a sophisticated cyber attack capability.
02:57And, you know, what we've found as a company that's been involved in supporting Ukraine since
03:03literally the moment that war began, is that AI is a game changer. You know, we have intercepted
03:11attacks against Ukraine faster than a human could detect them, and we block those attacks from
03:18taking place. So you deploy AI into, call it, the frontline of the products themselves. We have to recognize
03:28that it's ultimately the people who defend not just countries, but companies and governments, the
03:35chief information security officers, or the CISOs. You know, so we've created what's called a
03:40cybersecurity co-pilot that basically automates for those individuals much of the workflow that takes
03:49their time so that they can be more effective and efficient. When it comes to federal appropriations,
03:56I think that, to put it simply, the United States government must remain at the forefront of having
04:03for itself the cybersecurity capabilities that it needs to defend the government. And every day,
04:10I mean, we are in government agencies today during this hearing, you know, pushing Chinese out of agencies
04:18and the like. And this will happen every day of every year from now to probably eternity. So we must keep
04:24the U.S. government well-funded in this space. And I think we also need our intelligence agencies and
04:30especially the NSA to be well-funded so they can remain at the forefront when it comes to global
04:36leadership in this field.
04:37Thank you for your observations and encouragement. My final question, rural areas, a place I come from,
04:45often lack high-speed broadband. And since many AI tools rely upon connectivity, I'm concerned that many
04:54parts of the country and many parts of Kansas may not be able to access the benefits that AI will bring to
05:00business schools, healthcare, et cetera. What can the federal government do to be supportive of
05:06development and availability of on-device or low broadband with AI systems that do not rely on
05:14constant connectivity? I'm generally pretty excited about what AI will do here because you can offload
05:22so much of the processing to the cloud and then ship a relatively small amount of data. If you think
05:28about, you know, ChatGPT is text comes in, there's like a brain that thinks about it really hard and some
05:33text comes back. We can support people in low connectivity areas quite well with the same quality of
05:39service. Separately to that, I think getting great connectivity everywhere is important,
05:44but in the specific area of AI, I think we can actually address that, address that gap quite well.
05:48That's good to know. Thank you very much.
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