Algorithmic Illusions: Hidden Biases of Big Data

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Big data gives us a powerful new way to see patterns in information – but what can’t we see? When does big data not tell us the whole story? This talk opens up the question of the biases we bring to big data, and how we might work beyond them.


Kate Crawford

Kate Crawford is a Principal Researcher at Microsoft Research in Cambridge, MA, and a Visiting Professor at the MIT Media Lab, in the Center for Civic Media. Prior to moving to Boston, Kate was an Associate Professor and Deputy Director the the Centre for Journalism and Media Research Centre at the University of New South Wales.

For ten years, Kate Crawford has published widely on the social, political and cultural practices that surround and inform media technologies. She has conducted large-scale studies of mobile and social media use at sites around the world, including India, the US and Australia. Her book on technology, culture and generational critique, ‘Adult Themes’, won the Manning Clark Cultural Award. Her current projects include the politics of big data, the transformation of the news industry, and modes of communication during crisis events. She is currently co-editing a special issue of the International Journal of Communication on interdisciplinary perspectives on big data.

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