The musical 'Chicago' reframes violent actions through a moral lens, portraying them as not crimes but justified responses to intolerable situations.
Blame-shifting occurs in a world where truth is manipulated by media, lawyers, and public fascination with scandal.
Attributing negative events to external causes activates brain regions associated with reward processing, reinforcing blame-shifting behavior.
Research on blame attribution in AI failures found that blame distribution depends on how human-like the AI is perceived to be.
AI received less blame compared to human agents like AI programmers, teams, and government regulators in various moral transgression scenarios.
Blame-shifting to AI companies is easier when AI systems appear more human-like, allowing them to distance themselves from mishaps.
The EU AI Act places obligations on AI providers and deployers for high-risk AI systems, with penalties for non-compliance.
Personal responsibility in the AI pipeline involves educating oneself on AI, building testing systems, questioning outputs, documenting processes, and speaking up about concerns.
Human accountability remains key in AI failures, as frameworks cannot shift responsibility solely to AI tools over human involvement.
Unlike fictional stories where blame can be danced away, real AI failures require thorough evidence and accountability, emphasizing the importance of ethical AI practices.