Leaders in Ethical AI Research

Women in positions of influence within academic and research circles can push the boundaries of ethical AI research. Their work can illuminate the ways in which AI impacts different genders differently, leading to more humane and ethical AI systems.

Women in positions of influence within academic and research circles can push the boundaries of ethical AI research. Their work can illuminate the ways in which AI impacts different genders differently, leading to more humane and ethical AI systems.

Empowered by Artificial Intelligence and the women in tech community.
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Aditi Godbole
Senior Data Scientist at SAP
Sat, 07/06/2024 - 18:32

The sudden rise in AI has created many opportunities such as Personalization, improved customer and business experience, Predictive capabilities, and better decision-making models. However, this sudden rise has also brought some concerns about using and implementing ethically and sustainably across the industry.
One of the major challenges in Ethical AI is gender bias in AI, As AI systems are conceptualized and built they lack high-quality data that may not cover datasets for underrepresented communities such as Women. Based on research and studies done by Berkeley Hass Center for Equity & Gender, 44 percent of systems have shown gender bias
Women can bring diverse perspectives to AI development by assessing data that is misrepresented and can provide data sets that represent women and their experiences. Only 30 percent of women are currently working in AI as per the global gender gap report of 2023. We need more women researchers in this field who can bring industry-wide standards to bring fairness and transparent policies and address potential biases and their impacts on different groups of people. Women can also encourage female representation, participation, and engagement in all the stages from building policies, governance, and implementing solutions across the industry to ensuring AI systems are developed and used responsibly

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