AI Scores Can Mislead Decision-Makers Without Human Oversight

Executive Briefing

• Warns that AI scores are probabilistic guesses wrapped in authoritative-looking interfaces, not objective truths.
• Highlights how mathematical presentation creates false confidence, masking underlying model assumptions and limitations.
• Argues human judgment remains essential to contextualize, challenge, and validate AI-generated scoring outputs.
• Cautions that over-reliance on AI detection tools and checkers risks systematic errors in enterprise decision-making.