Perspective for leaders governing AI.
Executive analysis and perspectives on AI governance, data privacy, cybersecurity risk, digital trust, and the decisions shaping enterprise AI.
Written for boards and executive decision-makers, each Insight focuses on the issues leadership will remain accountable for long after deployment.
Some of the most important AI conversations never make it to the keynote stage.
FIELD DISPATCH delivers executive intelligence from leading AI conferences, executive forums, and leadership gatherings around the world. Drawing on keynote speaking, executive participation, and conversations with industry leaders, each dispatch examines the governance questions, strategic signals, and leadership insights shaping enterprise AI.
Your AI Agent Created It, But Who Owns It?
Claude’s watermark detects AI involvement. It does not establish ownership. What the provenance-to-ownership gap means for executive teams.
EXECUTIVE INSIGHT NO. 03
Founder & Principal Advisor | Executive Editor, THEEAIR Executive Insights
Your company may know which AI system touched the work. That does not mean it can prove who created it, or who owns it.
As organizations move from using AI as a productivity tool to using AI agents to create business value, the way we govern content creation has to evolve. Anthropic's latest Claude update brings that issue into sharper focus.
A machine-detectable signal may indicate that AI was involved in creating or processing an asset. It does not establish who authored the original material, whether the sources used were authorized, how rights were acquired or transferred, or whether the organization has the right to publish, license or commercialize the finished work.
Who Owns the Incident When the AI Agent is the Attacker?
Agentic AI can retrieve data, cross systems, initiate actions, and create incidents at machine speed. Who owns the consequences when the agent becomes the threat?
EXECUTIVE INSIGHT NO. 02
The Most Dangerous AI Deployment is the One Running Perfectly
Why executive oversight, not deployment, is becoming AI's greatest governance challenge
EXECUTIVE INSIGHT NO. 01
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