AI is learning gender bias from humans. Biased data leads to biased insights, biased algorithms, biased solutions and policies, and ultimately a biased world that is designed only to meet the needs of the few. However, if harnessed for good, AI and machine learning can create a future in which unbiased insights tell the story of all humanity —not just a subset of it.
The goal of the Gender Breakthrough Track is to generate and fuel meaningful projects that advance progress on the UN’s Sustainable Development Goals (SDGs) around gender equity. Projects with the potential to generate the highest and most immediate impact in the following domains will be considered for the finalist positions:
- Identify technical/non-technical ways to define, detect, and evaluate algorithmic gender bias.
- How can AI systems be designed and used to help human decision-making be more gender inclusive?
-How can diverse data sets be identified and collectively leveraged to give a more complete picture on gender inequality to allow for evidence-based policy making?
Submissions will be accepted through August 1.
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For more information and application, visit: https://www.xprize.org/aiforgood-gender-track