AI ChatRoom: AI + Policy in the US
Senator Richard Burr and Tony Samp, Senior Policy Advisers at DLA Piper LLP, with moderator Danny Tobey, a partner at the firm, discuss AI and Policy in the US.
Richard Burr
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Tony Samp
View firm profileDLA Piper presents AI ChatRoom, a captivating series of conversational videos that helps businesses understand the rapidly evolving landscape of Artificial Intelligence (AI) laws and regulations. This video explores the congressional efforts to understand and address AI – including what’s happening now, the most likely elements of eventual AI legislation, and how businesses can help shape policy considerations.
There is no committee of technology in Congress and no agency of technology in government. AI is so vast and so comprehensive there is a need to identify where real risk is and where real misuse of the technology exists. Regulation in that area would make sense. Opportunity arises for clients to be experts in their given technology space – they can advise on the type of impact that the technology is having, and why members of Congress should care.
“The challenge is out there, to companies across the globe, as to how they’re going to react to this new opportunity.”
In the forthcoming General Election, what the candidates say will potentially influence what is on the table for 2025. Businesses have a window of opportunity to influence what that table setting looks like in January 2025. Deep fakes are becoming more prevalent and there needs to be technology that can detect it. More significant regulatory action will take time and a lot of compromise to get through the legislative process. Avoiding over-regulation will allow continued innovation.
“By the time Congress looks back at this again, the industry will have changed drastically.”
“Unless we start getting the red flags under control, we don’t know exactly what’s to come.”
Governance is important. Companies need to stay away from the areas that everybody agrees would be dangerous to enter; and ensure access is to their own data, not somebody else’s, unless they have a right to it. Internal processes need to be in place to safeguard against problems arising in relation to potential discrimination, bias and privacy issues. The quality of the data going in will determine the quality of the AI going out. Accuracy is contingent on the reliability of the data. Without trustworthy AI in place, parties are at risk of falling foul of existing laws, and potential litigation and enforcement against them.
AI offers an unlimited opportunity. No technology has made faster, more rapid change than generative AI.
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