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An artificial intelligence we can get behind – towards a fairer, more transparent, and accountable use of machine learning

PhD defence, Thursday, 12 August 2021. Simon Aagaard Enni.

2021.08.12 | Mette Nielsen

Simon Aagaard Enni

During his PhD studies, Simon Enni studied the machine learning technologies that form the basis for the latest revolution in research and use of artificial intelligence. With machine learning, it is possible to “teach” computers how to perform tasks by showing them examples rather than by programming them directly, and this has applications within everything from voice- and face recognition to self-driving cars and automated medical diagnostics. However, since the computer learns from examples, it risks learning to mimic unfair, discriminatory, or otherwise indefensible behavior, and its decisions can be difficult to understand and make accountable. Simon Enni studied the human influence on the machine learning process from an interdisciplinary perspective, and the research findings contribute to improving the understanding of what and how computers learn from machine learning, and what we can do to accommodate worries of discrimination and lack of accountability.

The PhD study was completed at the Department of Computer Science, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Thursday, 12 August 2021 at 13:00
Place: The PhD defence will be held online. To receive a link to the event, please send an e-mail to Signe Jensen, slj@cs.au.dk 
Title of PhD thesis: Deliberation and Dissemination in Machine Learning
Contact information: Simon Aagaard Enni, e-mail: enni@cs.au.dk, tel.: +45 42201472
Members of the assessment committee:
Professor Bettina Berendt, Institute of Telecommunication Systems, Technische Universität Berlin, Germany
Professor Isabel Valera, Department of Computer Science, Saarland University, Germany
Professor Susanne Bødker (chairman), Department of Computer Science, Aarhus University, Denmark
Main supervisor:
Professor Ira Assent, Department of Computer Science, Aarhus University, Denmark
Language: The PhD dissertation will be defended in English

The defence is public.

Due to the coronavirus situation, the PhD thesis will not be available for reading at the offices of the PhD administration. Instead, interested parties may send an e-mail to gradschool.nat@au.dk to receive a digital copy of the PhD thesis. Please note, it may in certain cases be necessary to make an individual arrangement to read the PhD thesis.

PhD defence
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