Make Ownership Clear: Who’s Accountable When AI Helps?

AI accountability at work with RACI and AI ownership frameworks How clear AI ownership, workplace automation ethics, and RACI make responsible AI decisions in the workplace Learn exactly who is responsible for AI decisions and how to codify AI and human accountability in your daily work

What You'll Learn:

• Why AI accountability still requires a clearly named human to own 100% of outcomes—even when algorithms do 90% of the work
• How to draft a simple “AI Ownership Statement” that clarifies who decides, who verifies, who signs off, and who fixes when AI helps
• Practical ways to use RACI with AI (Responsible, Accountable, Consulted, Informed) so teams know their roles in AI decision making
• How hybrid and remote work amplify AI risk and why more automation requires more explicit accountability hand-offs
• How to talk with your team about who is responsible for AI decisions without killing experimentation and innovation
• A quick method to identify one current workflow where AI is involved and map clear human ownership onto it
• How to take one small, concrete action this week to improve AI risk management and responsible AI practices in your workplace
• Why writing down your AI ownership agreements dramatically improves follow-through, memory, and ethical consistency