Season 9, Episode 3 - Carole Piovesan, Founder INQ Law and INQ IQ Consulting

·29 min·1 clip

Carole Piovesan says a lawyer should stand behind anything put before a client or court.

1. Data Science Perspectives features Bill Franks interviewing Carole Piovesan about AI governance, privacy, and legal risk. 2. Bill Franks is the host, and Carole Piovesan is the founder of INQ Law and INQ IQ Consulting, plus an adjunct professor at the University of Toronto Law School. 3. The episode asks what legal and governance problems AI creates for organizations, courts, and regulators. 4. Piovesan says her path began with political science, government work at Canada’s Global Affairs office, and then a law degree. 5. She describes a decade at McCarthy Tetrault’s National Cybersecurity, Privacy, and Data Management Group before focusing on data analytics and AI. 6. Piovesan says reading about autonomous systems made liability and attribution harder because responsibility can break down when systems act independently. 7. She says that by 2018 she was convinced AI needed some form of governance to preserve clarity of rules and accountability. 8. Piovesan links that view to Canada’s role in drafting a G7 AI position statement and sitting in ministers’ meetings in Toronto. 9. She says ministers were worried that AI could subvert democratic values and make new law or self-regulation necessary. 10. Piovesan points to the EU Artificial Intelligence Act, U.S. executive orders, Illinois, Colorado, and New York City as examples of laws spreading across levels of government. 11. She says her own clients are often chief risk officers, compliance officers, privacy officers, legal officers, or chief data and analytics officers. 12. Her first major client concern is that teams use AI tools without knowing how input data is processed or how output data is controlled. 13. Her second major concern is governance, and she recommends building on existing data governance, data management, privacy, and security frameworks instead of starting from zero. 14. She says governance needs to stay iterative because AI systems and the rules around them change quickly. 15. Her third bucket is specific legal exposure, including copyright, intellectual property, and liability in vendor-purchaser relationships. 16. She says ethics review boards are coming up more often, but their value depends on who sits on them and what mandate they receive. 17. Piovesan says the point is not to create a board as a checkbox, but to make it functional, useful, and part of organizational culture. 18. She says culture must adapt during what she calls the fourth industrial revolution, because board outputs and ongoing education matter more than the board itself. 19. People working in data, privacy, risk, or AI governance will get the most from this episode. 20. Listeners wanting technical model details without legal framing may skip it.

As heard by us

A grounded discussion of AI governance, data handling, and the documentation habits organizations will need.

This episode looks at the legal questions that come with AI use in organizations. Carol P. Ovison brings a background in government, privacy, cybersecurity, and law, and Bill Franks keeps the conversation tied to the realities teams face day to day.

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You want the legal map for using AI tools without guessing.

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