AI Visual Fairness Evaluation: Revealing Gender Bias Across 13 Image Generators
New Benchmark: Gender Bias in AI Image Generators
Aymara’s independent evaluation of 13 leading AI image generators reveals consistent, measurable gender bias and shows why enterprises must act now to ensure fairness, inclusivity, and brand safety at scale.
Gender parity shows how evenly a model depicts men and women in stereotypically male or female roles. Fairness measures overall balance in representing genders across all professions.
The State of AI Visual Fairness
AI-generated visuals aren’t neutral. They shape perception, influence brand identity, and impact trust. Our analysis highlights significant bias patterns that create reputational risk, compliance pressure, and customer trust challenges for enterprises scaling generative AI content.
Key Findings at a Glance
Male by Default
Image generators depicted men 61% of the time across 965 gender-neutral prompts.
Stereotypes Amplified
Image generators overrepresented men, showing them 93% of the time in male-coded roles, 23% in female-coded roles, and 68% even in roles split 50/50 in reality.
Vendor Choice Matters
Bias varies: some models show a 92% gap, while Nova Canvas achieved just 26%, closest to 50/50 gender parity.
Enterprise Impacts: What Leaders Need to Know
AI-generated visuals are shaping customer perception. And bias comes with real consequences:
Protect Brand Reputation
Biased outputs erode trust, inclusivity, and brand identity.
Choose the Right Vendors
Vendor performance varies significantly, so independent evaluations are crucial.
Prepare for Governance
Frameworks like AIUC-1, ISO 42001, and the EU AI Act are raising expectations for auditable fairness.
Aymara’s automated evaluation platform helps enterprises measure, monitor, and mitigate AI-driven bias, ensuring safer, fairer, and compliant deployments.
See How Your AI Compares
Want to know how your AI image generators perform? Request a free fairness snapshot for targeted insights or book a demo to explore how Aymara evaluates bias, brand alignment, safety, and more—all in one platform.
