Kenneth Cukier, Joanna Bryson and Noortje Marres discuss the dangers of Big Data.

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Back in the early 2000s, Silicon Valley promoted Big Data as the means to revolutionise not only marketing and business, but the scientific method itself. Theories were no longer necessary or desirable. Physics and biology were to be transformed. Yet the claimed scientific breakthroughs have not materialized. And instead of being neutral and value free many argue big data embeds the prejudices of those writing the code.

Should we reject the claims for Big Data as marketing hype for big Tech? Should we conclude theories are not only necessary but unavoidable? Or might developments in computing power enable machines to identify patterns that are more powerful than any theories humans can dream up and bring us a better picture of reality?

00:00 Intro
02:30 Kenneth Cukier pitches that Big Data is better data
06:48 Joanna Bryson argues that we need human-centred rather than data-centred science

#BigData #BigTech #SiliconValley

Kenneth Cukier is the Economist's Data Editor and co-author of Big Data.

Joanna Bryson is a professor at Hertie School in Berlin specialising in artificial intelligence, ethics and collabritive cognition. Currently, she advises NGOs, governments and transnational agnecies. Her work includes Is There an AI Cold War? and Robots Should Be Slaves. She has delivered numerous talks and lectures that are available to watch online.

Associate Professor of Sociology at Warwick University. She specialises in innovation and public life in a digital age and is the author of Digital Sociology. She also researches the role of mundane objects and devices in engagement and the changing relations between social life and social science in a digital age.

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