A structured evaluation of how an AI system affects social, economic, and cultural aspects of communities, identifying potential harms and benefits.
Similar to environmental-impact studies, it examines downstream effects - job displacement, economic inequality, cultural biases, public trust - by consulting stakeholders, modeling scenarios, and reviewing analogous deployments. The assessment produces mitigation plans for identified harms (retraining programs, public education) and tracks long-term outcomes. Governance requires publishing summary findings and integrating them into strategic decision-making.
A national employment agency conducts a Societal Impact Assessment before launching its automated job-matching AI. They analyze potential effects on minority workers, forecast shifts in job-market dynamics, and develop reskilling programs to mitigate displacement - publishing the assessment to inform public debate.
