Cuestionario vinculado a una guía · duro Nivel

Prueba de IA y sociedad

Prueba efectos indirectos, distribución, participación, acceso, información pública, rendición de cuentas y responsabilidad institucional.

Rutas de guía relacionadasSociedad de IA
Pregunta 1 de 8

Why consider people who do not directly use an AI system?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. Why consider people who do not directly use an AI system?
    • Only direct users can experience impact
    • Institutions can change their access, information, or work even for non-users
    • Non-users have no rights or interests
    • System effects stop at the login screen
  2. A public service is faster on average but inaccessible to a language group. What does this suggest?
    • Average speed proves fair access
    • Language coverage is separate from system impact
    • The service has no social consequence
    • Efficiency does not capture who can access or contest the service
  3. When should affected communities be consulted?
    • Only after deployment ends
    • Only if they operate the system
    • When defining the problem and evaluating the proposed solution
    • Only when the model is open source
  4. What can generated content do in an information environment?
    • Increase access to explanations while also amplifying misleading material
    • Guarantee accurate public information
    • Remove the need for provenance
    • Ensure all readers see corrections
  5. What helps readers evaluate a generated claim without blind trust?
    • A model’s confidence phrase
    • The number of generated pages
    • A polished voice
    • Provenance, corrections, and transparent evidence
  6. Why should governance continue after deployment?
    • All social impacts are known before launch
    • Actual outcomes, complaints, and changed uses can reveal new impacts
    • Model accuracy prevents new effects
    • Governance is only procurement paperwork
  7. Does technical accuracy on a test set establish that a system is socially suitable?
    • No; access, contestability, and institutional fit also matter
    • Yes, if accuracy exceeds a benchmark
    • Only if users agree with the answer
    • No, because accuracy cannot be measured
  8. Who shapes the distribution of AI benefits and harms?
    • Model weights alone
    • Only individual users
    • Institutions and policy choices as well as technical capabilities
    • The benchmark designer alone