Timnit Gebru
Timnit Gebru
Founder DAIR 40 YEARS OLD
Timnit Gebru is a highly respected research scientist in artificial intelligence and an advocate for ethical AI. She is the founder and executive director of the Distributed Artificial Intelligence Research Institute (DAIR), which focuses on research and education to promote ethical and inclusive AI. In December 2020, Gebru was fired by Google, where she was co-lead of the Ethical AI research team, for raising workplace discrimination issues. Despite this setback, she remains a leading voice in AI ethics.
Gebru earned her Ph.D. from Stanford University, where she conducted research at the Stanford Artificial Intelligence Laboratory. Her research focused on computer vision and using publicly available images to gain sociological insights. After completing her Ph.D., Gebru did a postdoc at Microsoft Research, New York City, in the FATE (Fairness Accountability Transparency and Ethics in AI) group. There, she studied algorithmic bias and the ethical implications of projects aiming to gain insights from data.
In addition to her work in AI research, Gebru is a committed advocate for diversity and inclusion in AI. She co-founded Black in AI, a nonprofit that works to increase the presence, inclusion, visibility, and health of Black people in AI. She is also on the board of AddisCoder, a nonprofit dedicated to teaching algorithms and computer programming to Ethiopian high school students, free of charge.
Gebru has received numerous awards and fellowships for her AI research and ethics work, including the NSF Foundation GRFP and Stanford DARE fellowships. Her work has been featured in The Economist and The New York Times publications. Despite her challenges, Gebru remains committed to advancing the cause of ethical and inclusive AI, and her contributions to the field will continue to be felt for many years.
Gebru earned her Ph.D. from Stanford University, where she conducted research at the Stanford Artificial Intelligence Laboratory. Her research focused on computer vision and using publicly available images to gain sociological insights. After completing her Ph.D., Gebru did a postdoc at Microsoft Research, New York City, in the FATE (Fairness Accountability Transparency and Ethics in AI) group. There, she studied algorithmic bias and the ethical implications of projects aiming to gain insights from data.
In addition to her work in AI research, Gebru is a committed advocate for diversity and inclusion in AI. She co-founded Black in AI, a nonprofit that works to increase the presence, inclusion, visibility, and health of Black people in AI. She is also on the board of AddisCoder, a nonprofit dedicated to teaching algorithms and computer programming to Ethiopian high school students, free of charge.
Gebru has received numerous awards and fellowships for her AI research and ethics work, including the NSF Foundation GRFP and Stanford DARE fellowships. Her work has been featured in The Economist and The New York Times publications. Despite her challenges, Gebru remains committed to advancing the cause of ethical and inclusive AI, and her contributions to the field will continue to be felt for many years.
Fun Facts
Timnit grew up in Ethiopia before moving to the US as a political refugee.
She has a PhD from Stanford University.
She was fired by Google in 2020 for raising issues of discrimination in the workplace, highlighting the challenges faced by women and underrepresented minorities in the tech industry.
Memorable Quotations2
There’s a real danger of systematizing the discrimination we have in society [through AI technologies]. What I think we need to do — as we’re moving into this world full of invisible algorithms everywhere — is that we have to be very explicit, or have a disclaimer, about what our error rates are like.
We need to focus on building systems that work for everyone, not just those at the top.
Summary of recent tweets
Timnit Gebru, an AI researcher, has been actively tweeting about various topics lately. In her recent tweets, she has discussed a range of subjects related to artificial intelligence and its impact on society. One recurring trend in her tweets is the importance of ethical considerations in AI development. Gebru emphasizes the need for fairness, transparency, and accountability in machine learning algorithms to avoid perpetuating biases or harming marginalized communities. Another trend observed in Gebru's tweets is her advocacy for diversity and inclusion within the AI community. She raises awareness about underrepresented groups and their struggles in the field while promoting initiatives that aim to address these issues. Gebru highlights the significance of diverse perspectives in AI research and calls for increased representation across gender, race, and socioeconomic backgrounds. Moreover, Timnit Gebru frequently discusses ongoing research projects and breakthroughs in artificial intelligence. She shares updates on cutting-edge technologies such as natural language processing (NLP), computer vision, and reinforcement learning. Through her tweets, she aims to keep her followers informed about the latest advancements while fostering discussions around their societal implications. Regarding sentiment analysis of Gebru's recent tweets, it is important to note that her overall tone appears critical rather than entirely positive or negative. While she acknowledges the potential benefits of AI technology when implemented responsibly, she often expresses concerns about its current trajectory. Gebru highlights ethical dilemmas associated with biased algorithms or powerful corporations' influence over AI systems. Her focus on addressing these issues indicates a cautious attitude towards the direction AI is heading. In conclusion, Timnit Gebru's recent Twitter activity reflects her dedication to promoting ethical practices within artificial intelligence development while championing diversity and inclusivity within the field. Through raising awareness about ongoing trends like algorithmic bias mitigation strategies or efforts towards diversifying AI research teams, she strives to shape a more equitable future for this rapidly evolving technology domain. Despite recognizing its potential benefits, her critical stance suggests a desire for responsible implementation and a keen awareness of the challenges AI poses.SOME AI BOOK RECOMMENDATIONS
Timnit Gebru hasn't written a book yet or we didn't find any ISBN number for their book(s).
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