Who is in charge of the algorithms and models that shape our future?
This event will explore ethics and bias in AI, and examine the need for diverse and inclusive data teams and decision-makers.
Meet our speakers and chair
Chandrima Ganguly is a Data and AI Ethicist working in the CDAO. Their background is research in AI Ethics and Theoretical physics and they hold a PhD in the letter from the University of Cambridge. They are also a community organizer working for many years in the gender justice space. They are passionate about discovering and collaboratively creating ways in which technology can help people come together to find ways of better existing in community with each other and wider society.
Neil Lawrence (@lawrennd) is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge where he is also the academic lead of AI@Cam, the University’s flagship mission on AI. He is also a Senior AI Fellow at the Alan Turing Institute, visiting Professor at the University of Sheffield and author of the forthcoming book The Atomic Human (release date 6th June 2024).
Sadiqah Musa (@Sadiqah_BiD) has over 12 years of experience in data and analytics. She started her career analysing seismic data as an Interpretation Geophysicist. With the desire to expand her knowledge and expertise, Sadiqah moved into customer and behavioural analytics. She is currently working as a Senior Analytics Manager at Trustpilot and is the founder - CEO at Black in Data where she is an advocate for increased representation of ethnic diversity within data.
Kenneth Benoit (@kenbenoit) is Director of the Data Science Institute at the London School of Economics and Political Science, and Professor of Computational Social Science in the Department of Methodology. He is also Professor (Part-time) in the School of Politics and International Relations, Australian National University. He has previously held positions in the Department of Political Science at Trinity College Dublin and at the Central European University (Budapest).
More about this event
This event is part of the LSE Festival: Power and Politics running from Monday 10 to Saturday 15 June 2024, with a series of events exploring how power and politics shape our world. Booking for all Festival events will open on Monday 13 May.
The Data Science Institute (@LSEDataScience) forms the institutional cornerstone of data science activity at LSE. Working alongside the academic departments across the School, the DSI's mission is to foster the study of data science and new forms of data with a focus on their social, economic, and political aspects.
Hashtag for this event: #LSEFestival