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Hosted by Stanford Rock Center for Corporate Governance and Stanford Center for Legal Informatics (CodeX)
This is a paid-event.
About: The question confronting today’s 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.
Stanford AI Symposium is designed to equip boards and business leaders 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.
Key Topics Include:
- AI Fundamentals: 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.
- Business Applications for AI: Explore how AI is transforming industries and uncover innovative ways to harness its power within your organization. Learn from industry experts and successful case studies, discovering practical applications that drive efficiency, improve customer experiences, and unlock new revenue streams.
- Risk Factors: 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.
- Mitigating Risks and Ensuring Responsible and Accountable AI: 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.
- Regulatory and Policy Developments: Learn how different jurisdictions are trying to regulate AI, and explore best practices for navigating this evolving regulatory landscape.
Who Should Attend:
- Board directors and senior leaders who want to better understand the power of AI to transform business, or who are looking to leverage AI to drive innovation, growth, and competitive advantage.
- Board directors and senior leaders who are considering how best to oversee and manage AI-related risks and ensure responsible, legal, and trustworthy AI practices and oversight.
Location: Frances C. Arrillaga Alumni Center, 326 Galvez St., Stanford, CA 94305
MCLE Credit: The State Bar of California has approved this program for MCLE credit. Certification from other states may be sought; however, approved hours may vary. Contact your local bar for more information.