AI's Power Structures: Reconfiguring Freedom and Control in Algorithmic Governance
Original framing: “Artificial Intelligence as a New Structure of Power: Freedom, Responsibility, and Algorithmic Governance” — bing news
Scientific analysis of AI governance reveals that algorithmic systems are prone to bias and error, especially when trained on non-representative data. These systems often lack transparency and accountability mechanisms, making it difficult to assess their societal impact.
AI is not merely a technological innovation but a new structure of power that reconfigures freedom and control.
Its governance must be understood through the lens of historical power dynamics, cross-cultural perspectives, and the inclusion of marginalized voices. Indigenous knowledge systems offer ethical alternatives to the extractive logic of AI, while scientific analysis reveals the risks of biased and opaque systems. By integrating these dimensions into AI policy, we can move toward a more equitable and accountable future. The path forward requires not only technical solutions but also a reimagining of governance itself.