About
An ERA-curated thematic profile examining how people and organizations make decisions in complex, technology-enabled environments. Sessions explore decision architecture, cognitive biases, confidence calibration, decision rights, disagreement diagnosis, uncertainty, decision-process quality, and the relationship between evidence, algorithms, human judgment, and accountability in consequential decisions.
Sessions
Diagnosing Human–Algorithm Disagreement
Disagreement between an expert and an algorithm may reveal missing context, model limitations, uncertain evidence, or human bias. Explore how leaders can diagnose the source of disagreement, compare confidence, seek disconfirming evidence, and determine when escalation or further review is necessary.
Designing Decision Rights for Human-AI Systems
Organizations need more than a general principle of human oversight. Explore how leaders can classify decisions by consequences, reversibility, uncertainty, and value conflict, then assign clear authority to recommend, review, challenge, approve, or decide.