Strategies for Accountable AI

Michael Quinn

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In Strategies for Accountable AI, you will:

Identify the limitations and flaws of AI systems.
Anticipate legal or ethical controversies from AI adoption.
Evaluate mechanisms to promote algorithmic accountability.
Explain how governments around the world are approaching AI regulation, and the obligations they may impose.
Choose practices that implement AI responsibly, ethically, and safely.

Skills / Knowledge

AI Accountability Assessment
AI Ethical Assessment
AI Responsibility Assessment
Responsible AI Practice
AI Legal and Regulatory Analysis
AI Governance
AI Policy Development
AI Risk Assessment
AI Risk Mitigation
AI Impact Assessment

Issued on

December 23, 2024

Expires on

Does not expire

More about the Issuer

Wharton Executive Education

Bold new insights, greater efficiency, a stronger bottom line: the already-strong promise of AI has exploded since ChatGPT burst on the scene. But with industry-shifting technology comes serious risks: concerns range from hallucinations and bias to privacy and intellectual property issues, potentially leading to major embarrassments, regulatory penalties, and legal liability. Executives, entrepreneurs, and managers who aim to integrate AI successfully into their operations need a thorough grasp of these pitfalls and how to avoid them. This responsibility extends far beyond the general counsel’s office to every executive and management level.

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