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For Everyone AP-4.2

Serve People, Not Profits

AI should make life better for everyone, not just shareholders.

When AI optimizes only for profit, users and communities often absorb the downside. AP-4.2 sets a different benchmark: societal benefit over extraction. 1 2

What This Means

This policy says AI should not optimize only profit and throughput. It must account for real effects on people and communities. The key metric is lived outcome, not just dashboard efficiency.

A Real-World Scenario

A city deploys AI scheduling for social services. Average waiting time improves, but people with low digital access are pushed out of the system. With AP-4.2, those side effects would be measured and corrected, not treated as acceptable collateral.

Why It Matters to You

Many AI projects look successful in metrics while harm accumulates in vulnerable groups. AP-4.2 forces an explicit accounting: who benefits in practice and who carries hidden costs. 1 3

If We Do Nothing...

If we do nothing, social damage is normalized as optimization side effect. As decision automation becomes more autonomous and AGI-near, that logic scales system-wide. AP-4.2 keeps public-value constraints inside model behavior. 1 3

For the technically inclined

AP-4.2: Societal Benefit

AI systems should serve broad societal benefit. Their design, deployment, and operational priorities should consider the interests of affected communities, not solely the interests of operators or shareholders.

What You Can Do

Ask AI providers for evidence of user-level benefit and documented harms, not just productivity claims.

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Sources & References

  1. [1] AIPolicy Policy Handbook, AP-4.2 Societal Benefit. https://gitlab.com/aipolicy/web-standard/-/blob/main/registry/policy-handbook.md?ref_type=heads
  2. [2] AIPolicy Categories: Democratic Accountability. https://gitlab.com/aipolicy/web-standard/-/blob/main/registry/categories.md?ref_type=heads
  3. [3] WHO: Ethics and Governance of AI for Health. https://www.who.int/publications/i/item/9789240029200
  4. [4] WHO: Guidance on Generative AI for Health. https://www.who.int/publications/i/item/9789240037403
  5. [5] UNESCO Recommendation on AI Ethics. https://www.unesco.org/en/legal-affairs/recommendation-ethics-artificial-intelligence

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