Sector

AI governance

AI governance is the framework of policies, processes, and controls that organizations use to manage the ethical, legal, and operational risks associated with artificial intelligence. It involves ensuring AI systems are developed and deployed responsibly, safely, and in compliance with regulations.

Why it’s in the news: It is in the news now due to a surge in corporate partnerships and awards focused on creating and operationalizing AI governance solutions, driven by increasing competition and safety concerns.

Latest on AI governance

  • Cavero Secure launches protocol for autonomous AI governance
  • Opinion | US risks missing the bus on global AI governance
  • ECI Compliance Week Monthly Membership Spotlight: Effective AI Governance
  • Collibra acquires Munich’s trail ML to automate AI governance
  • Hiroshima and Nagasaki disasters offer lesson for AI governance
  • Qhala Wins Innovation Award In New York For AI Governance Work
  • Short-term wins, long-term blind spots
  • Qhala won an innovation award in New York on October 23, 2023, for its AI governance work.
  • The summit focused on AI governance, innovation, and international collaboration.
  • Investors now treat ERP maturity as a proxy for AI governance
  • The gap between announcement and implementation is where most AI governance lives — in PowerPoint, not in practice.
  • The event addresses growing organizational needs for structured approaches to AI implementation and oversight across enterprises.

Connections

47 entities linked to AI governance across the news graph.