Computer engineer focusing on ethical AI among 100 Women Changing the World

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As the world reflects on the individuals who made up the year, the name of a computer engineer working in ethical artificial intelligence (AI) kept popping up: Timnit Gebru received recognition from ELLE In “ELLE 100: Women Who Change the World,” W time Magazine published her in the “100 Most Influential People of 2022”.

Gebru, a Black woman who founded the Distributed Artificial Intelligence Research Institute (DAIR) and serves as CEO, focuses on the ethical consequences of AI and algorithmic biases.

A year ago, Gepro launched DAIR, which aims to educate people about diversity in the tech industry. I focused on the limitations of artificial intelligence and discriminatory product design.

Gebru is also the co-founder of black in ai, which looks to enhance the presence and inclusion of black people working in the field of artificial intelligence through mentorship, advocacy, exchange of ideas, and fostering collaboration. I got my bachelor’s, master’s and Ph.D. in electrical engineering from Stanford University and previously served as chair of the AI ​​Ethics Expert Team at Google.

Women and artificial intelligence sector

Women are significantly more concerned about the application of AI, according to 2022 results than before Pew Research Center. For example, while only 27% of men say they would be somewhat or very anxious if AI programs could diagnose medical problems, 43% of women surveyed said the same. Similarly, 69% of men said they would be somewhat or very concerned if AI software could make important life decisions for people compared to 80% of women.

Women like Gebru can help change perceptions and the course of AI.

According to the National Science Foundation’s “State of American Science and Engineering 2022” report in 2019, 26% of computer scientists and mathematicians are women. Employment for computer and information research scientists is growing faster than average for other occupations, according to the US Bureau of Labor Statistics. Employment is expected to grow from 2021 to 2031 21%.

Originally posted 2022-12-27 14:30:03.