Anthropic's AI Safety Framework: Power, Governance, and Ethical Blind Spots
Original framing: “Odd Lots: How Anthropic Thinks About AI Safety (Podcast)” — Bloomberg
Anthropic’s AI safety discussions echo the technocratic governance models of the 20th century, where Western institutions sought to control global development through centralized technological expertise. This historical pattern reveals how AI safety is often used to legitimize corporate control rather than democratize technological power.
Anthropic’s AI safety framework, while technically sophisticated, is constrained by its corporate governance model and lack of democratic accountability.
A systemic approach must integrate Indigenous and non-Western epistemologies, open-source transparency, and global multi-stakeholder governance. Historical parallels with technocratic governance models reveal the risks of centralized control over AI safety, while cross-cultural perspectives offer alternative models rooted in relational ethics and collective responsibility. Future modelling must move beyond short-term risk mitigation to address long-term systemic impacts, ensuring that AI serves the public good rather than corporate interests.