eCourse
AI Governance in Practice: Designing Policies, Driving Adoption, and Managing Compliance Risks
Contains material from Jun 2026
AI Governance in Practice: Designing Policies, Driving Adoption, and Managing Compliance Risks
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This session offers a practical guide to implementing effective AI governance within an organization. Participants learn how to design clear, workable policies that support responsible AI use, encourage adoption, and manage legal, ethical, and compliance risks. The discussion focuses on building governance frameworks that align innovation with accountability in today’s evolving AI landscape.
Includes: Video Captions Audio Transcript Slides
- Total Credit Hours:
- 1.00 | 0.50 ethics
- Credit Info
- TX, CA, PA
- TX MCLE credit expires: 7/31/2027
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Sessions
Credit
1.
AI Governance in Practice: Designing Policies, Driving Adoption, and Managing Compliance Risks (Jun 2026)
Kate Ivers, Marjorie Manne, Rachel Marmor, Lisa Salinas Schneider
1.00
0.50
0.00
1.00 | 0.50 ethics
Downloadable Materials
Transcript
(txt)
Slides
(pdf)
– 21 pgs
Session 1 —59 mins 1.00 | 0.50 ethics
AI Governance in Practice: Designing Policies, Driving Adoption, and Managing Compliance Risks (Jun 2026)
This session offers a practical guide to implementing effective AI governance within an organization. Participants learn how to design clear, workable policies that support responsible AI use, encourage adoption, and manage legal, ethical, and compliance risks. The discussion focuses on building governance frameworks that align innovation with accountability in today’s evolving AI landscape.
Originally presented: May 2026 Technology Law Conference
Kate Ivers,
Kastner Gravelle LLP - Austin, TX
Marjorie Manne,
PayPal, Inc. - Pittsburgh, PA
Rachel Marmor,
Holland & Knight - Boston, MA
Lisa Salinas Schneider,
SpyCloud - Austin, TX