Explore generative AI risks through the lens of cognitive biases. Select a threat category, choose a sample scenario or write your own, and generate detailed risk analyses powered by Google Gemini.
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Bias: The instinct to blindly trust system-generated reports to meet tight deadlines.
Risk: Accepting incorrect, hallucinatory AI outputs as factual, leading to flawed executive decisions.
Bias: Giving weight only to evidence that supports preconceived hypotheses.
Risk: Training models on narrow, incomplete demographics, generating biased outputs that alienate users.
Bias: Believing past success guarantees future accuracy.
Risk: Failing to implement third-party fact-checking on AI outputs, exposing the organization to deepfakes and misinformation.
Bias: Rushing to consensus without sufficient debate.
Risk: System justification that overrides ethical safeguards, prioritizing short-term tech adoption over long-term creative integrity and workforce reskilling.