10 women paving the way for ethical AI


With the amount and power given to the global tech giants, it has now become urgent for a few whistleblowers to identify the bad with the good. Ethical AI refers to artificial intelligence (AI) which adheres to the guidelines of non-discrimination, confidentiality, morals and rights.

MarketsAndMarkets predicts that the global AI governance market is expected to reach a valuation of $ 1,016 million by the end of 2026, with a CAGR of 65.5% between 2020 and the year of the forecast. Factors such as growing awareness, government initiatives and the demand to build trustworthy AI systems are likely to contribute to this growth.

AIM has organized a list of ten women from around the world who are leading the ethical fight of AI against the big technologies of the world.

Timnit Gebru

Timnit Gebru is one of the well-known and respected figures in the field of AI ethics. She is also the former co-head of Google’s ethical artificial intelligence team and was fired for allegedly co-authoring an article on major linguistic models and their ethical issues. His work has contributed to important discoveries, including the detection of bias in facial recognition systems and the lack of diversity in the tech industry.

Gebru has already spoken about the control that big tech companies have over the AI ​​landscape. Recently, she launched the Distributed Artificial Intelligence Research Institute, an independent, background independent space for researchers to come together and work to build an AI research agenda focused on communities and experiences.

Kay firth butterfield

Kay firth butterfield is a lawyer and former judge, professor and technologist. Currently, she heads AI and ML and is a member of the executive committee of the World Economic Forum. Kay works at the intersection of AI, international relations, politics, business, and AI ethics.

She is part of the Technical Advisory Group of the Foundation for Responsible Robots. She is recognized as a member at the forefront of AI governance. She is also co-founder of AI Global. Kay speaks regularly in international forums on the benefits and challenges associated with the many aspects of technological, economic and social changes arising from the use of AI.

Kay first started the popular Twitter hashtag #AIEthics and became the world’s first AI Ethics Officer in 2014. Additionally, she was part of the team that created the Ethics Principles of the Asilomar AI.

Joy Buolamwini

Founder of the Algorithmic Justice League (AJL), Joy Buolamwini, focuses on bringing art and research together, highlighting the social implications and possible harm of AI. A MIT Media Lab doctoral candidate, Joy’s discovery of racial bias in facial recognition systems was recorded in a Netflix documentary – Coded Bias. His most important job has been to research AI inaccuracies in facial recognition technology sold by tech giants Microsoft, IBM and Amazon.

Joy has been prominent on the ethical AI scene since 2016, when she started raising awareness about the harmful effects of AI using her research.

Kate crawford

Principal researcher at Microsoft Research, Kate crawford, is also a co-founder of research at the AI ​​Now Institute at New York University. His research focuses on AI in the context of politics, culture, work and the environment. She also studies large-scale data structures.

In the past, Kate has written and spoken extensively on topics such as government control over media content, social media, big data, youth and gender, and mobile devices.

Danah Boyd

Researcher in technology and social media Danah Boyd is a research partner at Microsoft Research. She is also the founder of the Data and Society Research Institute and visiting professor at New York University. Danah is also an author and her work focuses on the sociality, identity and culture of young people on social media.

Additionally, Danah connects with researchers to work on the future of work, accountability in ML, the cultural dynamics of AI, media manipulation, and tackling prejudice.

Saishruthi Swaminathan

Saishruthi Swaminathan is Technical Manager and Scientific Advisory Data at IBM. She is an active ethical practitioner of AI and has been a major contributor to the field. An electrical engineer from San Jose State University, Swaminathan was one of the semi-finalists in this year’s Silicon Valley Business Plan Competition for Democratizing Recruiting Using AI. In addition, she is also the co-creator of the AI-Fairness 360 R-Code.

See also

Deborah Raji

Founder and Executive Director of the Nonprofit Include Project Deborah Raji focuses on providing access to engineering training to underserved and immigrant communities. As an IT activist and Mozilla Fellow, Deborah’s work focuses on AI accountability, algorithmic adultery, and prejudice.

Deborah previously worked with Joy at Algorithmic Justice League, New York University, and with the Google Ethics AI team.

Rachel thomas

Rachel thomas is the co-founder of fast.ai, and currently he is a professor of practice at the Queensland University of Technology Center for Data Science. The computer scientist is also the founding director of the Center for Applied Data Ethics at the University of San Francisco. She has subconscious biases of ML students, and her work focuses on race and gender in datasets and algorithms.

Rachel was selected by Forbes as 20 Amazing Women in AI in 2017; she is also a member of the board of directors of Women in Machine Learning.

Olivia gambelin

Olivia gambelin is an AI ethicist and the founder and CEO of Ethical Intelligence (EI) Associates. It promotes the democratization of ethical and affordable AI and encourages the use of human-centered AI. According to her, ethics is nothing more than the study of understanding the difference between good and evil.

Olivia is also a member of the AI ​​and Ethics Journal of Springer Nature. His Twitter bio reads: “Making sure the bots don’t take over the world. “

Renee DiResta

Research Director at New Knowledge, Renee DiResta, is also Policy Officer at Data for Democracy. Renee is an investigator of the spread of harmful content on social media, and she helps policymakers understand and respond to it. She is a research director at the Stanford Internet Observatory and speaks and writes regularly on influence operations and technology policies.


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