What articles or sites do you know about artificial intelligence with a gender focus?

Fatemeh Akbari Shahrestani Artificial Intelligence (AI) with a gender focus is an emerging area of research that highlights how AI systems interact with gender-related issues, including bias, fairness, and inclusivity. Here are some key articles and websites that explore this topic:

UNESCO Report on Gender Bias in AI – UNESCO has published detailed reports addressing gender bias in AI systems. These reports highlight how AI algorithms often inherit societal biases, leading to discrimination against women in areas like hiring, language processing, and image recognition. Real-life example: When applying for jobs online, women might see fewer ads for high-paying technical roles compared to men due to AI-driven targeting models. (Visit: https://en.unesco.org)

AI Now Institute – This research institute focuses on the social impact of AI, including gender equity. Their studies reveal how voice assistants, often designed with female voices, reinforce stereotypes of women as helpers. For instance, AI assistants like Alexa and Siri are programmed to be polite and submissive, which may unintentionally promote gendered expectations. (Visit: https://ainowinstitute.org)

World Economic Forum (WEF) Publications – WEF regularly publishes reports on gender gaps and AI's role in narrowing or widening them. They emphasize how diverse datasets and inclusive coding practices can make AI more equitable. Example: AI-based healthcare tools may misdiagnose women more frequently if training datasets are male-dominated, highlighting the need for balanced data inputs. (Visit: https://www.weforum.org)

MIT Media Lab – Gender Shades Project – This study examined biases in facial recognition systems, revealing that darker-skinned women were misclassified more often than lighter-skinned men. Example: AI security systems may fail to recognize women of color, leading to exclusion from automated access systems. (Visit: https://www.media.mit.edu/projects/gender-shades/overview/)

Algorithmic Justice League – Founded by Joy Buolamwini, this organization focuses on combating bias in AI systems. Example: If AI tools are used to shortlist candidates for scholarships but are biased toward male applicants, it could result in fewer opportunities for deserving female candidates. (Visit: https://www.ajlunited.org)

These resources emphasize the importance of fairness and equality in AI development and encourage developers to design systems that work for everyone, regardless of gender.

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