The fast rise of AI has set off a flurry of authorized and regulatory exercise. There isn’t a single AI legislation to comply with. As a substitute, there are overlapping circles of regulation, the place privateness, cybersecurity, client safety, employment, and IP legal guidelines all proceed to use alongside newer AI-specific guidelines. Europe has its EU AI Act, however the U.S. has no federal equal but. Instead is an rising patchwork of greater than 150 state AI legal guidelines, and the image shifts each few months as new laws and pointers arrive. For engineers and tech firms, it might probably really feel unattainable to know what applies and the place the true dangers lie.
Shannon Yavorsky is an information lawyer who co-leads the Cyber, Privateness and Information Innovation group and the AI apply on the worldwide legislation agency Orrick. She advises firms throughout sectors from well being know-how to monetary companies on easy methods to develop and deploy AI responsibly amid this evolving regulatory atmosphere.
On this episode, Shannon joins Kevin Ball to make sense of that panorama. They focus on easy methods to map the concentric circles of regulation that truly apply to you, the chance spectrum separating a low-stakes manufacturing software from a high-stakes system making mortgage or healthcare selections, the issue of shadow AI and why recorded conferences can grow to be a litigation legal responsibility, easy methods to construct an AI governance program, and extra.
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