Aiconomy

Value Alignment

The challenge of ensuring AI systems pursue goals and exhibit behaviors that are consistent with human values, preferences, and ethical principles — considered the central problem of AI safety.

Value alignment encompasses multiple sub-problems: specifying what values the AI should follow, training it to internalize those values, and verifying that it actually behaves according to them in novel situations. Current approaches include RLHF, constitutional AI, and debate (where two AI models argue and a human judges). The challenge intensifies as AI systems become more capable — misaligned AI with limited capabilities causes limited harm, but misaligned superintelligent AI could be catastrophic. Research funding for alignment remains under $300 million annually — less than 1% of total AI R&D spending.

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