Navigating AI Risks: Best Practices for Compliance

The most forward-thinking companies embrace AI with complete confidence because they have created governance programs that serve as guardrails for this incredible new technology. Effective governance ensures AI consistently aligns with an organization’s best interests, safeguarding against potential risks while unlocking its full potential.

7 minute read December 31, 2024 at 03:59 PM
By
Henry Umney
Navigating AI Risks: Best Practices for Compliance

Creating new forms of artificial intelligence may be a great leap forward, but controlling them can be a stumbling block for businesses and government agencies alike.

This premium content is locked for Marketing the Law Firm subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN Marketing the Law Firm

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

July 31, 2026

The outsourcing of office and administrative services is expected to grow 50%-60% in the next five years. Contrary to what decision-makers think, and what the service providers hope you think, the biggest risk in outsourcing isn't choosing the wrong provider. It's outsourcing the wrong process, under the wrong model, with the wrong performance measures and contract terms.

July 31, 2026