Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It
A new preprint establishes a working definition of 'control' in the context of AI, grounding it in the ability to set and achieve goals, and drawing on concepts from cybernetics and control theory. The authors argue that loss of control over AI systems can occur at levels far below superintelligence, and that such risks are already present today. The paper provides a conceptual framework for understanding how control can be maintained or lost in relation to AI behavior.
Why it matters: This work offers a rigorous conceptual foundation for understanding and addressing AI loss of control, clarifying that such risks are not limited to hypothetical future superintelligent systems.
Full story at: arXiv Computers and Society ↗