Making Sense of AI Governance

Luminos.Law

IAPP AI Governance Center

NIST AI Risk Management Framework

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AI technology does not only affect the privacy vertical - it is a cross functional challenge. Miles and Brenda discuss AI governance and policies, laws and regulations, and operational considerations within a company, including the role of humans in a world of algorithms and machine learning. 

They discuss the importance of understanding the unique requirements and responsibilities of AI, the need for cross-functional communication and collaboration, and the key themes of accountability, fairness, and transparency in AI regulation. They also explore the role of governance policies and contracts in managing AI risks and the potential for renegotiating contracts to address the expectations and liabilities associated with AI.

Key takeaways:

• [2:07] AI deployment presents unique legal challenges and compliance headaches that require careful consideration and management.

• [05:18] Understanding the requirements and responsibilities of AI is essential for both privacy professionals and AI professionals.

• [09:02] Cross-functional communication and collaboration are crucial for effectively addressing AI risks and ensuring responsible AI governance.

• [13:20] The key themes of accountability, fairness, and transparency are central to AI regulation and risk management.

• [20:24] Governance policies and contracts play a critical role in managing AI risks and establishing liability and expectations.

 

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