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Ciclo de Seminários

Os Seminários PESC têm como objetivo trazer palestras acessíveis a um público mais amplo, ministradas por pesquisadores e professores mais experientes (tanto do PESC como de instituições externas). Ao longo do ano, teremos temas e focos variados, podendo ser mais específicos ou mais abrangentes.

A apresentação e discussão de ideias novas e antigas de diferentes temas contribui de maneira fundamental para a formação e pesquisa desenvolvida por alunos e professores, sendo muitas vezes de interesse de um público mais amplo.

Os Seminários que são on-line ou híbridos ficam gravados no Canal do PESC no YouTube, que apresenta muitas outras gravações importantes sobre o que acontece no PESC.

Próximos Seminários:

Dealing with Discriminatory Data Mining

Christopher W. Clifton, Professor, Purdue University, EUA
7 de novembro às 11h

Resumo - Slides

There is growing evidence that algorithms running on "Big Data" can lead to outcomes that are biased against underrepresented groups. This is in spite of the fact that such group information (race, gender, religion, etc.) is not used by the algorithms. This talk will discuss some of the issues, pointing out evidence, and hypothesize causes. We will then look at one solution, based on adapting a Bayesian network classifier to reduce disparate impact on groups that are treated "differently" by the originally learned classifier.

This talk is based on work with Koray Mancuhan that appeared in Artificial Intelligence and Law (2014) 22:211-238.

Biografia resumida

Dr. Clifton is a Professor of Computer Science at Purdue University. He works on data privacy, particularly with respect to analysis of private data. From 2013-2015, Dr. Clifton served as a program director at the National Science Foundation. Prior to joining Purdue in 2001, he was a principal scientist in the Information Technology Division at the MITRE Corporation. Before joining MITRE in 1995, he was an assistant professor of computer science at Northwestern University.
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