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Strengthen AI Model Governance and Ethical Frameworks to Address the New Normal of Restricted Access to the Most Powerful Models

Impact: Important

Confidence: Medium

Status: New

Score: 60 /100

Time: Medium-term (3-6 months)

Anthropic released its most powerful model, Claude Mythos, but with restricted public access, and appointed the Novartis CEO to its board to strengthen governance and life sciences strategy. Meta's Muse Spark also shifted from open source to proprietary. This indicates that access to top-tier AI capabilities may increasingly tighten, shifting towards more controlled, commercial licensing or partnership models. Enterprises need to establish internal governance frameworks, assess dependency risks on closed-source models, and proactively conduct compliance and ethical layout in sensitive fields (e.g., life sciences).

Why It Matters

Monopoly or restricted access to model capabilities may affect technological democratization and introduce risks related to supply chain security, compliance (especially in regulated industries like healthcare and finance), and ethics. Proactive governance capability is a prerequisite for the safe and responsible use of cutting-edge AI.