{"id":4,"date":"2023-06-20T23:25:34","date_gmt":"2023-06-20T23:25:34","guid":{"rendered":"https:\/\/conferences.law.stanford.edu\/aisymposium\/?page_id=4"},"modified":"2023-11-09T19:37:41","modified_gmt":"2023-11-09T19:37:41","slug":"home","status":"publish","type":"page","link":"https:\/\/conferences.law.stanford.edu\/aisymposium\/","title":{"rendered":"Home"},"content":{"rendered":"\n
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Stanford AI Symposium<\/h1>\n \n

AI Applications, Risks, and Oversight for Business<\/p>\n \n

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\n WHEN<\/span>\n November 13, 2023<\/span> <\/div>\n\n
WHERE<\/span>Frances C. Arrillaga Alumni Center<\/span><\/div>\n
Registration is Closed. Join the Waitlist. <\/span><\/a><\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n<\/section>\n\n\n\n

About:<\/strong> The question confronting today\u2019s modern business is not whether to use artificial intelligence (AI), but where and how to use it effectively. AI has the capacity to disrupt a broad range of industries, revolutionize business functions, and provide a competitive advantage to early adopters. To remain ahead of the curve, boards and business leaders must understand how AI systems work and how they can be deployed responsibly across different business verticals. They also must understand the myriad risks posed by this new technology, as well as the governance, accountability, and compliance frameworks that best allow them to oversee, monitor, and mitigate those risks. <\/p>\n\n\n\n

Stanford AI Symposium is designed to equip boards, business leaders, investors, and advisors with essential knowledge and insights into the world of AI. Through faculty lectures, interactive exercises, peer-to-peer exchanges, and networking opportunities, participants will deepen their understanding of how AI systems work, the benefits and business applications for AI, and best practices for managing and overseeing AI-related risks in a corporate setting.  <\/p>\n\n\n\n

Key Topics Include:<\/strong><\/p>\n\n\n\n

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  1. AI Fundamentals: <\/strong>Gain a comprehensive understanding of the foundational principles and technologies that power AI. Discover the inner workings of machine learning, natural language processing, large language and foundation models, and other core AI concepts. Discover best practices for building transparent, explainable, and trustworthy AI systems.<\/li>\n\n\n\n
  2. Powering Business and Operations with AI and Data Science: <\/strong>Learn how  recent advancements in AI and Data Science will impact operations, and examine some of the foundational principles around how to build organizations and company cultures that will maximally leverage the benefit of AI and Data. <\/li>\n\n\n\n
  3. Risk Factors: <\/strong>Delve into the legal, operational, and reputational risks associated with designing and deploying AI, and learn how those risks impact real-world decision-making. Understand the potential pitfalls of AI algorithms, as well as the possibility of errors and hallucinations. Discuss intellectual property, security, deceptive trade practices, contract, privacy and data protection concerns, and explore the potential social and environmental consequences of developing and training foundation models.<\/li>\n\n\n\n
  4. Mitigating Risks and Ensuring Responsible and Accountable AI: <\/strong>Learn strategies to mitigate risks associated with AI implementation. Explore frameworks for accountability, governance, and compliance to ensure responsible and trustworthy AI practices within your organization.<\/li>\n\n\n\n
  5. Regulatory and Policy Developments: <\/strong>Learn how different jurisdictions are trying to regulate AI, and explore best practices for navigating this evolving regulatory landscape.<\/li>\n<\/ol>\n\n\n\n

    Who Should Attend:<\/strong><\/p>\n\n\n\n