Latest Articles Computing Sciences

Pride: STEM Disciplines Fight Algorithmic Bias

Pride: STEM Disciplines Fight Algorithmic Bias

by Fabio Todesco

Expert knowledge is needed to build mathematical models of discrimination in artificial intelligence systems in order to detect it, and identify possible solutions. A workshop at the University on June 27  

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The Opinionated Machine

The Opinionated Machine

by Fabio Todesco

Algorithmic bias may lead to Machine Learning systems discriminating against minorities. The issue is to be tackled now, says Luca Trevisan in the sixth episode of the Think Diverse podcast  

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Refueling the Cryptography Tank

Refueling the Cryptography Tank

by Fabio Todesco

Alon Rosen has won an ERC Advanced Grant to lay a new base for advanced cryptographic methods, overcoming the issue of scarcity of hard problems  

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Quantitative History, Statistics, and Cryptography: 43 ERC Grants Managed at Bocconi

Quantitative History, Statistics, and Cryptography: 43 ERC Grants Managed at Bocconi

by Fabio Todesco

The University, thanks to Mara Squicciarini and Botond Szabo, has been awarded two grants for projects in quantitative history and statistics. Furthermore, Alon Rosen has just started his project on cryptography  

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News

  • How to Protect User Rights Against an Algorithm

    The right to know the motivation of a decision made by artificial intelligence is difficult to enforce. Europe therefore aims to strengthen the stance of users through procedural obligations on platforms, explains Oreste Pollicino  

  • The Changing Customer Journey

    Privacy rules, automated algorithms, and increasing opportunities for companies to track users both online and offline have a major impact on an already complex marketing ecosystem, Sara Valentini explains  

  • Machines Get It Wrong: How to Avoid that Woman and Gay Are Mistaken as Bad Words

    Systems to automatically detect online hate can classify terms used to identify victims of homophobic or misogynistic attacks, such as gay or woman, as offensive. A new tool succeeds in mitigating the problem  

  • How to Make Language Technologies More Inclusive

    Dirk Hovy suggests a fairer way for automatic translation systems to deal with modern pronouns and advocates technologies that adapt to the users, instead of the opposite  

  • When Machines Learn Prejudices

    When called upon to complete neutral sentences, popular language models most often use hurtful words if the subject is a woman rather than a man, and even more so if the subject is LGBTQIA+  

  • How Owners Shape Corporate Strategies

    Bocconi and University of St. Gallen jointly organize a conference on the role of owners in the digital world, today and tomorrow  

Seminars

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Seminars

  • TBD

    ERIN LYN MCDONNELL

    Room 3b3sr01 - Roentgen 1

  • Seminar by Felix Liebrich

    FELIX LIEBRICH - Leibniz Universit├Ąt Hannover

    Room 3-E4-SR03 (Rontgen) / Zoom