60 Percent of Women’s Health Tools Fail AI Consortium Sets First Standards to Improve Accuracy

A group of leaders in the women’s health and technology sectors has launched the Women’s Health AI Consortium to establish the first industry-wide standards and governance frameworks for artificial intelligence in the field. The initiative aims to address critical concerns regarding the quality, safety, and transparency of AI tools being deployed across women’s healthcare.

The consortium was co-founded by the maternal health company Willow Innovations and the AI women’s health platform Ema EQ. Other prominent industry participants include Clue, Oura, and Thrive Global.

The formation of the group on May 12, 2026, comes amid discussions regarding a 60% AI failure rate in women’s health and a growing gap between the reach of AI technology and the accountability of its developers. Industry leaders have noted that women’s health technology has historically been underserved, underfunded, and misunderstood, often leaving women as the first to encounter AI tools built on incomplete data.

Addressing the Accountability Gap

The consortium seeks to prevent the sector from repeating longstanding inequities in women’s healthcare. Many current AI systems are trained on datasets that underrepresent women or fail to reflect the specific realities of female health experiences. These tools are frequently validated against benchmarks that were not designed with female biology in mind.

A significant issue identified by industry observers is the clinical vacuum that often follows major health events, such as childbirth. While women may receive regular obstetric care during pregnancy, clinical check-ins for postpartum recovery, mood shifts, or pelvic floor health often cease shortly after hospital discharge. In these instances, many women turn to mobile applications powered by large language models (LLMs) that may lack the necessary clinical oversight or specialized training required for accurate health guidance.

Sarah O’Leary, CEO of Willow, stated that the rapid evolution of the sector requires a coordinated response.

Women’s health AI is moving at a pace that demands immediate, coordinated accountability. This Consortium gives the industry a clear, shared standard — one that is built on evidence, reflects lived experience, and holds every tool accountable to the women it serves.

Sarah O’Leary, CEO of Willow

Governance and Core Commitments

To provide a structured approach to AI oversight, the Women’s Health AI Consortium has developed a governance framework centered around six core commitments:

• Ethical and safety standards
• Bias reduction and cultural integrity
• Emotional and clinical quality at scale
• Contextual and longitudinal intelligence
• Mentorship for ethical AI builders
• Transparent oversight and continuous improvement

Through these commitments, the consortium intends to create shared benchmarks that prioritize clinical rigor, and transparency. By establishing these standards, the group aims to ensure that AI tools in the femtech sector are developed with a focus on safety, bias reduction, and the specific biological and contextual needs of women.