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Knowledge at Wharton

Why Accountability Matters in AI Development and Governance

Feb 7, 2025
Kevin Werbach, a leading authority on business, law, and technology, shares insights from his work at the Wharton Accountable AI Lab. He highlights the importance of structured accountability in AI to balance its benefits with potential risks. The discussion navigates the evolving complexities of AI governance and the unique challenges organizations face. Werbach also examines how ethical dilemmas in AI parallel those of past technologies like the internet and blockchain, advocating for a nuanced approach to AI that balances fear, celebration, and caution.
12:21

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Quick takeaways

  • Accountable AI emphasizes the importance of systematic practices to link risks with actionable solutions for responsible AI development.
  • The Wharton Accountable AI Lab aims to analyze organizational strategies and identify gaps in current AI governance practices for improvement.

Deep dives

Understanding Accountable AI

Accountable AI focuses on the imperative of recognizing and mitigating the risks associated with artificial intelligence. It seeks to maximize the benefits that AI can offer while addressing the potential harms that can arise from its deployment. This involves putting in place systematic practices that connect the risks with real actions to prevent or reduce them effectively. By doing so, organizations can ensure their AI systems are developed responsibly and ethically, fostering a framework for accountability in technology.

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