AI og samfunn

Benefits and harms are not necessarily shared equally. Evaluation needs to consider access, power, accountability, and the choices made around the technology, as well as technical performance.

Viktige takeaways

• Include affected non-users in the analysis.
• Vurder tilgang og evne til å utfordre utfall.
• Mål reelle effekter og revider systemet.

Identify who is affected, including people who do not directly use the system. An automated service can change access to assistance, the information people see, or the work expected from staff. Those effects may be missed by measuring only the operator’s efficiency. Consider distribution and participation. Language coverage, disability access, connectivity, cost, and the ability to challenge an outcome can determine who benefits. Consult affected communities when defining the problem and evaluating the proposed solution. Information environments require particular care. Generated content can increase access to explanations while also amplifying misleading material. Provenance, corrections, and transparent evidence help readers evaluate claims without requiring blind trust in a platform. Treat governance as a continuing process. Track actual outcomes, investigate complaints, and revise systems when uses or impacts change. Avoid assuming that broad social outcomes follow automatically from one model improvement. Institutions and policy choices shape how capabilities are deployed and who bears their consequences.

1. Se for deg en tjeneste som flytter viktig assistanse til et chat-grensesnitt som kun er AI.
2. Test opplevelsen for personer med upålitelig tilkobling, uvanlige spørsmål og hjelpeteknologi.
3. Mål om en bemannet eller alternativ rute fortsatt er tilgjengelig og om uavklarte saker får effektiv oppfølging.

Det konstruerte eksemplet utvider evalueringen fra gjennomsnittlig interaksjonshastighet til tilgang og ansvarlighet.