The PhD defence will be partially digital, in Kristen Nygaards sal (5370), Ole-Johan Dahls hus and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the attending audience at Kristen Nygaards sal to ask ex auditorio questions.
Trial lecture
“Watermarking techniques”
Time and place: January 15, 2025 11:15 AM. Kristen Nygaards sal (5370), Ole-Johan Dahls hus.
Main research findings
The widespread use of artificial intelligence (AI) systems has brought significant challenges, such as biased decisions that can unfairly affect individuals or groups. Additionally, the complexity of these systems often makes it hard to understand why specific decisions are made or how to improve outcomes.
This dissertation explores these challenges through the lens of resource allocation problems - situations where a decision-maker distributes limited resources among a population. It introduces new ways to ensure fairness and offers tools to help individuals understand and improve decisions that affect them. For decisions made over time, this research also considers how uncertainty and feedback play a role. Finally, it examines the trade-offs between fairness and utility, as well as the costs of implementing recommendations, identifying when these objectives can be balanced effectively.
Adjudication committee
- Assistant Professor Anniko Hannak, University of Zurich, Switzerland
- Research Professor Carlos Castillio, Universitat Pompeu Fabra, Spain
- Associate Professor Ali Ramezanikebrya, University of Oslo, Norway
Supervisors
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Professor II Christos Dimitrakakis, University of Oslo, Norway
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Postdoctoral fellow Anne Marie George, University of Oslo, Norway
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Associate Professor Ingrid Chieh Yu, University of Oslo, Norway
Chair of defence
- Professor Ellen Munthe-Kaas, Department of Informatics, University of Oslo
Contact information at Department: Mozhdeh Sheibani Harat