Topic
Artificial intelligence examined as a technical and sociotechnical system.
14 articles
AI alignment depends on the interaction of models, objectives, organizations, users, markets, governance, and changing deployment environments.
Model collapse can occur when generated outputs re-enter future training data, progressively distorting or narrowing the learned distribution.
Automation bias is not simply human gullibility; it emerges from repeated interaction among people, tools, workload, incentives, and feedback.
A systems view of AI agents explains compounding errors, automation bias, control delays, and safer workflow design.