Musterbau

Eintrag vom: 17.07.2013.

A study by the Berkeley Haas Center for Equity Gender and Leadership analysed 133 AI systems across different industries and found that about 44 per cent of them showed gender bias and 25 per cent exhibited both gender and racial bias.

 

The report Gender Parity in the Intelligent Age examined trends across innovation employment and skilling and found that women were more likely to work in roles disrupted by generative AI and less likely to benefit from AI-driven career augmentation.

 

Recent Deloitte research has highlighted a gender gap in generative AI adoption across various geographies.

 

Gender bias in AI algorithms and systems is therefore a significant and growing problem. The OBS report further states that women can bring not only technical skills to AI but also unique perspectives that are crucial to the development of equitable and ethical technologies.

 

This policy briefing from The Alan Turing Institute?s Women in Data Science and AI project is a contribution to this endeavour charting women?s participation in data science and AI in the UK and other countries.

 

By downloading this report you'll gain valuable knowledge to help address the gender gap in AI and advocate for a more equitable future.

 

GAI-disrupted occupations. In January 2025 25.8% of women were Senior Data Scientist working in occupations that may be augmented by GAI compared to slara@linkedin.com 31.6% of men.

 

Global Gender Gap Index 2025 benchmarks gender parity across 148 economies offering trend analysis key findings and insights into progress since 2006.