Joy Buolamwini: Fortune Magazine called her the "Conscience of the AI Revolution". Joy Buolamwini uses art and research to show the social implications of AI. She founded the Algorithmic Justice League with the intent to create a world with more equitable and accountable technology. Her renowned MIT thesis methodology uncovered large racial and gender bias in AI services from companies like Microsoft, IBM, and Amazon. Her research has been covered in over 40 countries, and as a renowned international speaker she has championed the need for algorithmic justice at the World Economic Forum and the United Nations. She serves on the Global Tech Panel convened by the vice president of European Commission to advise world leaders and technology executives on ways to reduce the harms of A.I. In late 2018 in partnership with the Georgetown Law Center on Privacy and Technology, Joy launched the Safe Face Pledge, the first agreement of its kind that prohibits the lethal application of facial analysis and recognition technology. As a creative science communicator, she has written op-eds on the impact of artificial intelligence for publications like TIME Magazine and New York Times. In her quest to tell stories that make daughters of diasporas dream and sons of privilege pause, her spoken word visual audit "AI, Ain't I A Woman?" which shows AI failures on the faces of iconic women like Oprah Winfrey, Michelle Obama, and Serena Williams as well as the Coded Gaze short have been part of exhibitions ranging from the Museum of Fine Arts, Boston to the Barbican Centre, UK. A Rhodes Scholar and Fulbright Fellow, Joy has been named to notable lists including Bloomberg 50, Tech Review 35 under 35, BBC 100 Women, Forbes Top 50 Women in Tech (youngest), and Forbes 30 under 30. She holds two masters degrees from Oxford University and MIT; and a bachelor's degree in Computer Science from the Georgia Institute of Technology.

Anima Anandkumar: Anima Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. At NVIDIA, she is leading the research group that develops next-generation AI algorithms. At Caltech, she is the co-director of Dolcit and co-leads the AI4science initiative, along with Yisong Yue. She has spearheaded the development of tensor algorithms, first proposed in her seminal paper. They are central to effectively processing multidimensional and multimodal data, and for achieving massive parallelism in large-scale AI applications. Prof. Anandkumar is the recipient of a named chair, the highest honour the university bestows on individual faculty, and is supported by the Bren foundation. She is recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Faculty fellowships from Microsoft, Google and Adobe, Young Investigator Awards from the Army research office and Air Force office of sponsored research, and Women in AI by Venturebeat. Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018.

Daniela Rus: Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’s research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science. She earned her PhD in Computer Science from Cornell University.

Radhika Nagpal: Radhika Nagpal is the Fred Kavli Professor of Computer Science at the Harvard School of Engineering and Applied Sciences and a founding Core Faculty Member of the Harvard Wyss Institute for Biologically Inspired Engineering, where she co-leads the BioRobotics Platform. Before becoming faculty, she spent a year as a Research Fellow in the Department of Systems Biology at Harvard Medical School. She received her PhD and was a Postdoc Lecturer at the MIT Computer Science and Artificial Intelligence (CSAIL), as a member of the Amorphous Computing Group, supported by the Bell Labs GRPW Fellowship (1995-2001). She received the Microsoft New Faculty Fellowship (2005), NSF Career Award (2007), Anita Borg Early Career Award (2010), Radcliffe Fellowship (2012), and has been invited as a TED Speaker (2017) and AAAI Fellow (2020). In 2014, she was chosen for the Nature 10 Award, given to the top ten influential scientists and engineers by the journal Nature (Dec 2014). In 2017, she co-founded ROOT Robotics, an educational robotics company aimed at democratizing coding, AI, and robotics through early education; Root was recently acquired by iRobot (2019). The lab's Kilobots have also been commercialized by K-Team Inc and over 8000 robots have been sold worldwide. She is also the author of a popular Scientific American blog article on tenure-track life (The Awesomest 7year Postdoc), the founding advisor for the Harvard Women-in-CS Club (WiCS), a member of the Embedded EthiCS Team, and an advocate for a nurturing culture and gender parity in academia and STEM. She works on several gender equity and diversity efforts within Harvard and Robotics/CS/Academia. Currently, she is on sabbatical, spending her time as an Amazon Scholar with the Robotics and AI (RAI) division.

Leila Pirhaji: Leila Piraji is an Iranian computational biologist and tech enterpreneuer. She is the CEO and founder of biotech company ReviveMed. Previously, she worked on AI at the Professor Ernest Fraenkel Lab at MIT and at ETH Zürich. She received a Bachelor of Applied Science degree in Biotechnology from the University of Tehran in 2008. At ETH Zurich institute, she developed algorithms that inferred protein interaction networks from mass spectrometry data. During her time in graduate school, she served a role as Master Research Assistant in developing a new algorithm that predicts gene regulatory networks from gene expression data. In 2010, Pirhaji started her PhD from MIT, Boston in Biological/Biosystems Engineering. In 2013, Pirhaji worked shortly at Takeda Oncology developing a pipeline for Next Generation Sequencing analysis for cancer patients being treated in order to identify biomarkers associated with the drug response. In the summer of 2014, Pirhaji worked at Merck on molecular stratification of pancreatic cancer by using transcriptional and mutational data. 

Hannah Fry: Dr Hannah Fry is an Associate Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at UCL. She works alongside a unique mix of physicists, mathematicians, computer scientists, architects and geographers to study the patterns in human behaviour - particularly in an urban setting. Her research applies to a wide range of social problems and questions, from shopping and transport to urban crime, riots and terrorism. Alongside her academic position, Hannah is an experienced public speaker giving conference keynotes and taking the joy of maths into theatres and schools. Hannah’s mathematical expertise has led to the development of several BBC documentaries including City in the Sky (BBC2), Britain's Greatest Inventions (BBC2), Climate Change By Numbers (BBC4), Calculating Ada: The Countess of Computing (BBC4), Horizon: How to Find Love Online (BBC2) and The Joy of Data (BBC4). Hannah regularly appears on radio in the UK including on her long running BBC Radio 4 show The Curious Cases of Rutherford and Fry. Hannah has also authored a number of books. Her latest, Hello World: How to be human in the age of the machine was shortlisted for the prestigious Bailie Gifford Prize for Non Fiction and the Royal Society Book Prize. She has also written two popular maths books: The Mathematics of Love: Patterns, Proofs, and the Search for the Ultimate Equation and The Indisputable Existence of Santa Claus. 

Fei Fei Li: Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006). Dr. Fei-Fei Li’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 200 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, Nature Digital Medicine, etc. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education.

Cynthia Breazeal: Cynthia Breazeal is a professor of media arts and sciences at MIT, where she founded and directs the Personal Robots group at the Media Lab. She is Associate Director for the Bridge: MIT Quest for Intelligence where she leads strategic initiatives in areas such a democratizing AI through K-12 and vocational education. She also founded the consumer social robotics company, Jibo, Inc., where she served as Chief Scientist and Chief Experience Officer. Breazeal is a pioneer of social robotics and human robot interaction. Her work balances technical innovation in AI, UX design, and understanding the psychology of engagement to design personified AI technologies that promote human flourishing and personal growth. Her recent work focuses on the theme of "living with AI" and understanding the long-term impact of social robots that can build relationships and provide personalized support as helpful companions in daily life. Her research group actively investigates social robots applied to education, pediatrics, health and wellness, and aging. Her seminal book, Designing Sociable Robots, is recognized as a landmark in launching the field of Social Robotics and Human-Robot Interaction. Breazeal did her graduate work at the MIT Artificial Intelligence Lab, received her doctorate in 2000 in Electrical Engineering and Computer Science from MIT.

Maja Mataric: Maja Mataric is a Chan Soon-Shiong distinguished professor of Computer Science, Neuroscience, and Pediatrics at the University of Southern California, founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, interim Vice President of Research, past Vice Dean for Research (2006-2019) and past President of the USC faculty and the Academic Senate. She received her PhD in Computer Science and Artificial Intelligence from MIT in 1994, MS in Computer Science from MIT in 1990, and BS in Computer Science from the University of Kansas in 1987. She is a Fellow of the American Association for the Advancement of Science (AAAS), IEEE, AAAI, and ACM, and recipient of the US Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring (PAESMEM) from President Obama, and the Okawa Foundation, NSF Career, the MIT TR100 Innovation, the IEEE Robotics and Automation Society Early Career, the Anita Borg Institute Women of Vision Innovation, Viterbi School Service Award and Junior Research Awards, and is featured in the documentary movie "Me & Isaac Newton." She is an advisory editor of three major journals and has published extensively in various areas of robotics. Here is her Google Scholar profile. Prof. Mataric' is actively involved in K-12 outreach, leading the USC Viterbi K-12 STEM Center and developing free curricular materials for elementary and middle-school robotics courses in order to engage student interest in science, technology, engineering, and math (STEM) topics. Her Interaction Lab's research into socially assistive robotics is aimed at endowing robots with the ability to help people reach their potential through individual assistance (for convalescence, rehabilitation, training, and education) and team cooperation (for habitat monitoring and emergency response)

Monica Rogati: Monica Rogati is a data scientist and the former Vice President of Data of Jawbone. Before that, she was a senior data scientist at LinkedIn, responsible for building the initial version of LinkedIn's job matching system and the first machine learning model for LinkedIn’s "People You May Know" feature. Rogati was born in Romania, where she attended the Tudor Vianu National College of Computer Science. Rogati has a B.S. in Computer Science from the University of New Mexico, and an MS and PhD in Computer Science from Carnegie Mellon University. 

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(This information has been borrowed from multiple websites & professional bios of the aforementioned individuals)