Deep learning: the Artificial Intelligence that dominates 21st century life

Authors

  • Dora Kaufman Pontifical Catholic University of São Paulo, Faculty of Exact Sciences and Technology, Postgraduate Program in Intelligence Technologies and Digital Design, São Paulo, São Paulo, Brazil.

DOI:

https://doi.org/10.23925/1984-3585.2018i17p17-30

Abstract

Latanya Sweeney, former chief technology officer of the US Federal Trade Commission and now a professor at Harvard University, was told by a colleague that Google AdSense associated her name with ads suggesting her arrest. Intrigued, she typed in the name of another of her colleagues, Adam Tanner, and the ad from the same company came up without the suggestion of arrest. Testing racially associated names, Sweeney found statistically significant discrimination, with a name stereotyped as that of a black person being 25% more likely to receive an arrest registration ad - clearly a bias of the search system in reproducing society's racial biases.

Author Biography

Dora Kaufman, Pontifical Catholic University of São Paulo, Faculty of Exact Sciences and Technology, Postgraduate Program in Intelligence Technologies and Digital Design, São Paulo, São Paulo, Brazil.

Post-doctoral student at TIDD/PUC-SP, post-doctoral fellow at COPPE-UFRJ, PhD ECA-USP with a period at Université Paris - Sorbonne IV. Visiting researcher and lecturer at the Computer Science Department, Courant Institute of Mathematical Sciences, NYU (2009, 2010), and at the Alexander von Humboldt Institute for Internet and Society, Berlin (2015). Researcher at Atopos ECA/USP (since 2011), participates in the Artificial Intelligence Study Group of the Institute for Advanced Studies at USP.

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Published

2018-05-29