Knowledge at Wharton Why Accountability Matters in AI Development and Governance
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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.
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Accountable AI
- Accountable AI acknowledges AI's potential benefits and inherent risks.
- It emphasizes developing practices to maximize benefits and mitigate harms systematically.
Context-Specific AI Governance
- Understand the diverse applications of AI across different organizations and industries.
- Tailor AI governance strategies based on specific contexts and avoid universal best practices.
Emerging Tech Parallels
- Kevin Werbach's career has focused on emerging technologies, from the early internet to blockchain.
- He highlights the similar pattern of initial excitement, lack of understanding, and the need for early engagement to address potential issues.