The 8 Best AI Researchers to Follow on Twitter in 2021

According to reports, the global AI market is expected to reach $554.3 billion, growing at a CAGR of 17.5% by 2024. Artificial intelligence is penetrating all walks of life. Many women are breaking the glass ceiling in the field of AI.

In this article, we’ve listed eight of the best female AI researchers to follow on Twitter.

1| Joy Buolamwini

Fortune magazine called Joy Buolamwini “the conscience of the AI ​​revolution”. She uses art and science to illuminate the social ramifications of artificial intelligence. She created the Algorithmic Justice League to empower technology. Her thesis revealed significant racial and gender biases in AI services from Microsoft, IBM and Amazon. Joy has advocated for algorithmic fairness at the WEF and the United Nations. She holds two master’s degrees, one from Oxford University and the other from MIT. She also holds a bachelor’s degree in computer science from the Georgia Institute of Technology.

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2| Rana el-Kaliouby

Kaliouby is the co-founder and CEO of Affectiva, an MIT Media Lab spin-off. She leads the company’s emotion analytics unit, creating emotion detection algorithms and leveraging the world’s largest database of emotions. Affectiva’s Emotion AI is based on deep learning, computer vision, speech science, massive amounts of real-world data from over 90 countries and multiple industries, including the automotive industry and the media. She has a doctorate in computer science.

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3| Daphne Koller

Professor Daphne Koller is the co-founder of Coursera which works with over 200 leading universities and companies to bring flexible and accessible online learning to individuals and organizations around the world. She joined Stanford University as a professor in 1995. Her main research interests are in the development and use of machine learning and probabilistic methods to model and analyze complex domains. His current research project focuses on computational biology, computational medicine and semantic understanding of the physical world from sensor data. She has published over 200 peer-reviewed articles.

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4| Timnit Gebru

Google fired Timnit Gebru, a respected AI ethics researcher, last year. She co-led the search giant’s Ethical AI team with Margaret Mitchell, who was also sacked. His paper on bias in major linguistic models was the main bone of contention that led to his dismissal. Gebru had previously worked with the Gender Shades study group at MIT. She created Black in AI for black researchers working in artificial intelligence with her colleague Rediet Abebe. She also worked in the AI ​​team at Microsoft.

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5| Fei-Fei Li

Fei-Fei Li is co-director of the Institute for Human-Centered AI at Stanford. She also served as Vice President of Google and served as Chief AI/ML Scientist at Google Cloud until 2018. Her current research interests include cognitive-inspired AI, machine learning, deep learning, computer vision and AI + healthcare. She has done research on cognitive and computational neuroscience in the past. She is also the creator of ImageNet and the ImageNet Challenge, a large-scale dataset and benchmarking initiative that has catalyzed deep learning and advancements in AI. She has published over 200 scientific reviews in leading journals and conferences.

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6| Kate Crawford

Kate Crawford’s research focuses on large-scale data structures and artificial intelligence in the contexts of culture, politics, work and the environment. She is currently working as a Principal Researcher at Microsoft. She also holds a Visiting Chair for AI and Justice at the École Normale Supérieure in Paris and Professor of Communication and STS Research at USC Annenberg. Additionally, she has spoken and written extensively on a variety of topics including social media, government control of media content, gender and mobile devices, youth and sexting, and big data.

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7| Cassie Kozyrkov

Cassie Kozyrkov has worked as a statistician, technical director and chief data scientist and is now chief decision scientist at Google. She designed Google’s Analytics program and guided over 100 projects. Its mission is to make statistical thinking and machine learning more accessible to everyone so that everyone can benefit from the power of data.

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8| Danah Boyd

A researcher for over 12 years at Microsoft, Danah’s research focuses on understanding the relationship between technology and culture to address social and cultural disparities. She is also the founder and president of the Data & Society Research Institute, based in New York, where she addresses various social, political and legal issues emerging from data-centric technological development. She has published numerous articles on social media, privacy, teen drama, digital backchannels and social visualization design etc. She received her Ph.D. from the University of California, Berkeley at the School of Information (iSchool) in 2008.

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Kudos to Women in Data Science and Analytics

Recently, Analytics India Magazine announced the third edition of The Rising – an all-female conference to be held on May 21-22, 2020.

“The Rising will see visionary women share their insights on building a career in data science. The series of talks and information sessions are aimed at helping women develop leadership skills. »

Book your tickets here.

James G. Williams