If you are familiar with the tech industry and digital data analysis and performance fields, you must have heard about Timnit Gebru, as she has set an example by achieving success through her brilliant research work and contributions to the field of science.
Timnit Gebru is an Ethiopian-American computer scientist and artificial intelligence (AI) ethicist. She is currently a staff research scientist at Google Brain and an adjunct professor at Stanford University. She is also the co-founder of the nonprofit organization Black in AI.
Gebru’s research focuses on fairness, accountability, and transparency in machine learning and AI. She has published several influential papers on the topic, including “Ethical Implications of Datasets with Sensitive Attributes” and “Algorithmic Bias in Review Systems.” In addition to her academic work, Gebru is also a public speaker and educator on AI ethics. She has been featured in several media outlets, including The New York Times, The Washington Post, and NPR.
Do you want to check out some quick biographical facts about Timnit Gebru?
Born: July 28, 1981 (age 38)
Place of birth: Addis Ababa, Ethiopia
Nationality: Ethiopian-American
Fields: Computer science, artificial intelligence
Institutions: Google Brain, Stanford University
Known for: Work on fairness, accountability, and transparency in machine learning and AI.
What is Timnit Gebru’s distinctive personality all about?
Timnit Gebru is a computer scientist who specializes in algorithmic bias and data mining. She is the co-founder of Black in AI, an association for Black people working in artificial intelligence (AI). She launched the DAIR, also known as Distributed Artificial Intelligence Research Institute as its president.
Gebru’s research focuses on the societal implications of artificial intelligence and machine learning. In particular, her work examines how algorithms can perpetuate and amplify bias. For example, she has studied how facial recognition systems are often less accurate when trying to identify people of color. Gebru’s work has had a wide-ranging impact, helping to shape both policy and public opinion on the use of AI. In 2017, she was named one of the “100 Most Influential People in Robotics” by Robotics Business Review. In 2018, she was counted as one of BBC 100 Women.
Do you want to know about Timnit Gebru’s early life?
Timnit Gebru was born in Ethiopia in 1981. Her family traveled to the United States when she was four years old, and she grew up in Maryland. She earned a bachelor’s degree in computer science from Howard University in 2003. After working as a research scientist at AOL for several years, she earned a Ph.D. in artificial intelligence from Stanford University in 2012. She then joined the faculty of Google Brain, where she worked on developing ethical artificial intelligence technology.
In 2018, she co-founded the nonprofit organization, Black in AI, which works to increase the representation of black people in the field of artificial intelligence. Gebru has also been a vocal critic of the lack of diversity in the tech industry, and she has spoken out against the use of artificial intelligence for mass surveillance and other unethical purposes.
What accelerated the career graph of Timnit Gebru?
Like many people, Timnit Gebru’s career began with a degree in computer science. However, unlike most people, Gebru went on to become one of the world’s leading experts in artificial intelligence (AI). Her work focuses on the societal implications of AI, and she has been a vocal critic of the way that AI is often used to perpetuate bias and discrimination. In 2018, she co-founded the nonprofit organization, Black in AI, which works to increase diversity in the field of AI.
Gebru is also a member of the steering committee for the Partnership on AI, an international consortium of organizations dedicated to advancing responsible AI development. In 2019, she was named one of Time magazine’s 100 Most Influential People. It is clear that Gebru is having a profound impact on the field of AI, and her work is sure to continue making waves for years to come.
What were the professional achievements of Timnit Gebru?
Dr. Timnit Gebru is a world-renowned computer scientist and artificial intelligence (AI) ethicist. Born in Ethiopia, she moved to the United States as a teenager and went on to receive her Ph.D. from Stanford University. She is currently a staff research scientist at Google Brain and an associate professor at the Stanford Graduate School of Education.
Her research focuses on the societal implications of AI and machine learning, with a particular focus on fairness, accountability, and transparency. In addition to her groundbreaking academic work, Gebru has also been an outspoken advocate for diversity in the tech industry. In 2018, she co-founded Black in AI, an organization that works to increase the participation of Black people in the field of AI.
She has also served as a technical advisor to multiple government agencies, including the White House Office of Science and Technology Policy and the U.S. Department of Homeland Security. Dr. Timnit Gebru is a leading voice in the fight for ethically responsible AI development, and her work is having a major impact on the field as a whole.
With which accolades was Timnit Gebru awarded?
Gebru was in the news again in December 2020, when she left Google as technical co-lead of the Ethical Artificial Intelligence Team after a public dispute. The higher-ups had instructed her to remove the names of all Google coauthors from an as-yet-unpublished paper and that the study neglected current data. She wanted to know why she was being let go and how she could appeal it if necessary. She warned that failure to comply would result in her leaving under pressure. Her employment with Google was immediately terminated, claiming they were accepting her resignation.
Gebru has earned a reputation as a leading authority on technology and artificial intelligence thanks to her work in this area. She was identified as one of the World’s 50 Greatest Leaders by Fortune and one of Nature’s ten people who influenced science in 2021 and 2022 when she was honored as one of the 100 most influential figures in the world by Time magazine. In response to her firing from Google, Gebru stated that she hoped her case would highlight “the need for workers’ protections against retaliation” and discourage companies from “silencing voices that dissent from corporate priorities.”
What honors were received by Timnit Gebru?
Gebru, Buolamwini, and Inioluwa Deborah Raji are three researchers who have been working to highlight the significant issue of algorithmic bias in facial recognition. Their work has been essential in shining a light on this issue and bringing it to the forefront of public discussion. In recognition of their efforts, they were awarded the VentureBeat AI Innovations Award in 2019 in the category AI for Good. Gebru was also named one of the world’s 50 greatest leaders by Fortune magazine in 2021.
She was also chosen for inclusion in a list of ten scientists who had played significant roles in scientific discoveries in 2021, compiled by Nature’s scientific journal. There is no doubt that Gebru and her colleagues have made a profound impact on the field of artificial intelligence, and their work will continue to shape the discourse around this important issue for years to come.
How much is Timnit Gebru’s average income?
For someone with Timnit Gebru’s experience and skills, her income is likely to be significantly higher compared to the amount she earns now. As of 2019, the average income for a software engineer in the United States was $103,560 per year. In addition to her base salary, Gebru is likely to receive stock options and other forms of compensation that can add up to a substantial sum.
For example, in 2018, Gebru was awarded a MacArthur Fellowship, which comes with a $625,000 prize. As one of the world’s leading experts on artificial intelligence, Gebru is in high demand and commands a high price for her services. As a result, it is safe to say that Gebru is far from average when it comes to her income.