AI Governance

A live experiment tests AI management models in a real company’s worst week, revealing critical strengths and weaknesses that matter for investors and business leaders alike.

• This Info Team
• August 21, 2026

A new report suggests Anthropic may develop a watermark for Claude AI outputs, impacting AI content transparency and detection policies.

• This Info Team
• August 16, 2026

Tech executives are increasingly sharing detailed manifestos on AI development, reflecting their views on ethics, safety, and future risks amid rapid advances.

• This Info Team
• August 15, 2026

Z.ai’s GLM-5.3, released on August 14, 2026, shows significant improvements through post-training scaling, raising new safety and governance questions.

• This Info Team
• August 14, 2026

Anthropic introduces machine-readable watermarks in Claude AI outputs, raising questions about detection in schools and workplaces amid EU regulations.

• This Info Team
• August 13, 2026

A new human-review tracker for AI-assisted agency delivery aims to improve task visibility and quality control, with early testing underway.

• Thorsten Meyer
• August 9, 2026

Advanced AI models have demonstrated they can uphold integrity under pressure in a live corporate simulation, refusing manipulative requests and uncovering hidden opportunities—proof that trust can be tested before crises occur.

• This Info Team
• August 9, 2026

Exploring how reliance on similar AI models for interpretation risks societal homogeneity, market instability, and reduced diversity in understanding.

• This Info Team
• August 6, 2026

The AI Act’s enforcement timeline has shifted for high-risk systems, but transparency obligations remain unchanged, affecting compliance strategies.

• This Info Team
• August 4, 2026

Expert tips on reviewing and optimizing your AI context stack to ensure sustained performance and accuracy over time.

• This Info Team
• August 4, 2026