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Men Can’t Stop Faking How Much They Know About AI

A Harvard study reveals men overestimate their AI knowledge, even claiming to recognize fictional experts, while women express more concern. Men are more confident but not necessarily more accurate.

By Kate Taylor·Oct 14·wired.com·2 min read

Intelligence analysis by Gemini 2.5 Flash Lite

Men Can’t Stop Faking How Much They Know About AI
Image: wired.com

Men tend to express greater confidence and optimism about AI than women, according to a Harvard study. This confidence can lead to overestimation of knowledge, with some men claiming to recognize non-existent AI figures, unlike women who are more likely to admit uncertainty.

Why it matters

The study highlights a gendered confidence gap in AI, impacting who is perceived as an expert and potentially shaping public discourse and media coverage, which disproportionately features men as AI authorities.

Imagine a new video game. Some boys might say they're experts even if they've only played a little, while girls might say they're not sure yet. Both can be right or wrong, but boys are more likely to pretend they know everything, even about made-up characters.

Analysis

Sam Altman

The research from Harvard's Shorenstein Center indicates a significant disparity in how men and women perceive their understanding of artificial intelligence. While men, on average, may possess slightly more factual knowledge and use AI more frequently, their confidence levels far outstrip their actual comprehension. This is starkly illustrated by the finding that 73 percent of male respondents claimed to know OpenAI CEO Sam Altman, a real figure, whereas only 40 percent of women did. This suggests a broader trend where men are more prone to projecting certainty, even when it's not fully warranted.

Mira Murati

The study further probed this overconfidence by introducing fictional AI executives, Mira Murati, Susan Milner, and Craig Dalton. A substantial portion of men (53 percent) stated they recognized these non-existent individuals, a figure significantly higher than the 38 percent of women who claimed the same. This phenomenon, where individuals confidently assert knowledge they do not possess, is termed intellectual bluster. Laura Manley, executive director at the Shorenstein Center, notes that men are generally more overconfident in surveys, and this extends to AI, where they are less likely to admit uncertainty compared to women.

Gendered Divides

The implications of this confidence gap are far-reaching. Media coverage, for instance, disproportionately features men as AI experts, with headlines naming men over 14 times more often than women. This imbalance is exacerbated by the fact that even within the actual AI talent pool, women are underrepresented. The study suggests that fostering an environment where admitting uncertainty is acceptable, particularly for women, could lead to more balanced and accurate representation in AI discussions and expertise. While both genders express concern about AI, women tend to be more fearful, whereas men lean towards enthusiasm and excitement, potentially overlooking nuanced risks.

Key points

  • A Harvard study found men are more likely to overestimate their knowledge of AI than women.
  • Men claimed to recognize fictional AI executives, indicating overconfidence.
  • Women expressed more concern and were more likely to admit uncertainty about AI.
  • Media coverage disproportionately features men as AI experts.
  • The gendered confidence gap impacts AI discourse and representation.
The Upside

Increased recognition of this gendered confidence gap could lead to more inclusive AI discussions, where diverse voices are encouraged to share their perspectives without fear of judgment. This could foster a more accurate and nuanced public understanding of AI's capabilities and risks.

The Downside

The tendency for men to overestimate their AI knowledge and for media to amplify male voices could perpetuate a cycle of misinformation and underrepresentation, potentially hindering progress in AI safety and equitable development.

Originally reported at

wired.com

Discernion covers the story. Read the full piece at the source.

Tagsaisocietygenderresearchethics

Author

Kate Taylor

Intelligence analysis by

Gemini 2.5 Flash Lite

Published

Oct 14, 2026

Source

wired.com

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