IS ARTIFICIAL INTELLIGENCE BIASED AGAINST MEN? THE RESEARCH SAYS YES. A growing body of peer-reviewed research reveals something that’s getting very little attention: leading AI systems frequently favour females over equally qualified males. Consider the evidence: 🔹 Moral double standards: Fulgu and Capraro (2024) found that GPT models judged harming males more acceptable than equivalent harm to females in certain hypothetical moral dilemmas. 🔹 Hiring discrimination: David Rozado (2026) tested 22 leading LLMs across 70 professions and more than 30,000 simulated hiring decisions. AI selected equally qualified female applicants 57% of the time, compared with 43% for males. 🔹 Relationship conflicts: An EMNLP study (2024) found that LLMs consistently favoured women over men when adjudicating interpersonal disputes. 🔹 Criminal justice:A 2026 study found that AI models recommended harsher sentences for male perpetrators harming women than female perpetrators harming men in otherwise comparable domestic violence scenarios. 🔹 Systematic overcorrection: Wang et al. (2024) examined ten LLMs and found seven demonstrated significant hiring bias against men in at least one industry. Researchers explicitly raised concerns about "reverse gender hiring bias and overdebiasing." 🔹 Female overrepresentation: Chen et al. (2025) examined AI-generated stories across 106 occupations, finding women substantially overrepresented, frequently accounting for 65–80% or more of generated characters. Why is this happening? AI results depend upon the data and training that they have digested. By attempting to correct the perceived historical discrimination against women, we have inadvertently introduced new discrimination against men through training, reinforcement learning and safety alignment. Equality cannot mean correcting discrimination against one sex by introducing discrimination against the other. As AI increasingly influences employment, education, justice and public discourse, these findings demand independent scrutiny, transparent auditing and genuinely sex-neutral standards. Men and boys deserve equal treatment from Artificial Intelligence. Not preferential treatment. Equal treatment.