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Ethical Frameworks for AI Decisions

Using ethical principles to reason through difficult AI choices when rules don't give a clear answer.

Editorial team 1 min read

Laws and policies don't cover every situation. Ethical reasoning helps teams make defensible choices.

Common AI Principles

Most organisational and international AI principles share themes:

  • Beneficence: do good.
  • Non-maleficence: avoid harm.
  • Autonomy: respect people's choices.
  • Justice: fairness and equitable distribution of benefits and burdens.
  • Explicability: transparency and accountability.

Ethical Lenses

  • Consequences: who benefits, who's harmed, how much?
  • Duties and rights: what obligations and rights are at stake?
  • Fairness: are people treated equally, and are disadvantaged groups protected?
  • Character: what would a responsible organisation do?

A Practical Process

  1. Describe the decision and options.
  2. Identify stakeholders.
  3. Consider each option through several lenses.
  4. Seek diverse perspectives, including affected people.
  5. Decide, document reasoning and plan to review.

Principles to Practice

Turn principles into concrete requirements, tests and review steps; otherwise they remain words on a page.

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