Decision models: Making AI decisions auditable before deployment
Show me the decision logic. Not a vague explanation. An actual specification.
What Does It Mean for AI to be "Trustworthy"?
As Artificial Intelligence (AI) becomes more integrated into our daily lives, from recommending movies to assisting in medical diagnoses, we need to have a similar, yet much deeper, level of trust in these complex systems.
When autonomous AI creates liability, you can't explain
The WEF and Capgemini framework tackles how to deploy AI agents that act independently without creating liability exposure you can't defend. When autonomous agents execute without human approval, your organization owns the outcome directly.
Agentic AI systems don't wait for instructions—they decide and act independently
When an agent makes a bad decision—books the wrong vendor, approves an improper expense, shares sensitive information—who owns the outcome?
What if the Jury is in a Server?
The Promise and Peril of an AI Jury
AI productivity research shows learning effects that outlast tool use
Based on Claude's estimates, these tasks would take on average about 90 minutes to complete without AI assistance, and Claude speeds up individual tasks by about 80%
The Only Legal AI Moat That Matters: Your Institutional Knowledge
Your company just licensed the same AI tools as your competitors. Same models. Same infrastructure. Same vendor capabilities. So what makes your lega…
Your Next Customer Might Be an AI Agent. Will You Let Them In?
The question isn't whether to accommodate agent-mediated commerce. It's whether your infrastructure can support it.
