Listen "Can AI be fair?"
Episode Synopsis
Celebrating Ada Lovelace Day and the pioneering research of women in science, technology, engineering, and mathematics. A discussion with world leading scientists and thinkers on Artificial Intelligence and equality.
From benefits to healthcare and the environment, there is a lot that is exciting about AI and its contribution to our society. However, the risks – including algorithmic bias, invasion of privacy, and the power of big business – are well versed. So how can we ensure that data science and AI is working for and not against us?
Hear about how ideas from computer and data scientists – particularly women – are empowering diversity, cooperation and prosperity for all. As many of us turn to generative AI to increase productivity at work, how can we be sure that the everyday tools we use are ethical and fair?
This event is for The Joint Centre for Excellence in Environmental Intelligence.
SPEAKERS
JUDY WAJCMAN
Principal Investigator for Women in Data Science and AI
Alan Turing Institute
Judy Wajcman is Principal Investigator for Women in Data Science and AI at the Alan Turing Institute. She also is Emeritus Professor of Sociology at the London School of Economics (LSE). Her previous positions include the Anthony Giddens Chair in Sociology at the LSE and Professor of Sociology in the Research School of Social Sciences at the Australian National University. She has also held posts in Cambridge, Edinburgh, Manchester, Sydney, Warwick, most recently holding the Mellon Fellowship at the Center for Advanced Study in the Behavioral Sciences at Stanford University. Judy has published widely in the fields of science and technology studies, feminist theory, work and organisations, and is probably best known for her analysis of the gendered nature of technology. Her books include The Social Shaping of Technology, Feminism Confronts Technology and TechnoFeminism.
ANNA BALDYCHEVA
Assistant Professor (Senior Lecturer) in Electronic Engineering
Department of Engineering
University of Exeter
REBECCA KESBY
Journalist
BBC
EKATERINA HERTOG
Associate Professor in AI and Society
Oxford Internet Institute
University of Oxford
From benefits to healthcare and the environment, there is a lot that is exciting about AI and its contribution to our society. However, the risks – including algorithmic bias, invasion of privacy, and the power of big business – are well versed. So how can we ensure that data science and AI is working for and not against us?
Hear about how ideas from computer and data scientists – particularly women – are empowering diversity, cooperation and prosperity for all. As many of us turn to generative AI to increase productivity at work, how can we be sure that the everyday tools we use are ethical and fair?
This event is for The Joint Centre for Excellence in Environmental Intelligence.
SPEAKERS
JUDY WAJCMAN
Principal Investigator for Women in Data Science and AI
Alan Turing Institute
Judy Wajcman is Principal Investigator for Women in Data Science and AI at the Alan Turing Institute. She also is Emeritus Professor of Sociology at the London School of Economics (LSE). Her previous positions include the Anthony Giddens Chair in Sociology at the LSE and Professor of Sociology in the Research School of Social Sciences at the Australian National University. She has also held posts in Cambridge, Edinburgh, Manchester, Sydney, Warwick, most recently holding the Mellon Fellowship at the Center for Advanced Study in the Behavioral Sciences at Stanford University. Judy has published widely in the fields of science and technology studies, feminist theory, work and organisations, and is probably best known for her analysis of the gendered nature of technology. Her books include The Social Shaping of Technology, Feminism Confronts Technology and TechnoFeminism.
ANNA BALDYCHEVA
Assistant Professor (Senior Lecturer) in Electronic Engineering
Department of Engineering
University of Exeter
REBECCA KESBY
Journalist
BBC
EKATERINA HERTOG
Associate Professor in AI and Society
Oxford Internet Institute
University of Oxford
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