Kristian Kersting

Making Deep Neural Networks Right for the Right Scientific Reasons

On the Applicability of ML Fairness Notions

• Karima Makhlouf

• Sami Zhioua

• Catuscia Palamidessi.

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics

• Tim Draws

• Nava Tintarev

• Ujwal Gadiraju

• Alessandro Bozzon

• Benjamin Timmermans.

Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning

• Pieter Delobelle

• Paul Temple

• Gilles Perrouin

• Benoît Frénay

• Patrick Heymans

• Bettina Berendt.

Nikolaus Forgó

Can Law Steer the Development of AI and if so, How?

Blind Spots in AI: the Role of Serendipity and Equity in Algorithm-Based Decision-Making

• Cora van Leeuwen

• Annelien Smets

• An Jacobs

• Pieter Ballon.

The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment

• Jesse Russell.

Dietmar Huebner

Two Kinds of Discrimination in AI-Based Penal Decision-Making

The use and misuse of counterfactuals in fair machine learning

• Atoosa Kasirzadeh

• Andrew Smart.

Don’t guess my gender, gurl: The inadvertent impact of gender inferences

• Eduard Fosch Villaronga

• Adam Poulsen

• Roger A. Søraa

• Bart H.M. Custers

Viktoriia Sharmanska

Discovering Fair Interpretable Representations in Visual Data