Embedded Files
8.00 - 9:00
Registration & Badge Pickup
Conferences desk
9.00 - 10:00
Keynote by Julia Stoyanovich: "On fairness and validity in AI-assisted hiring"
Blauwe zaal
In this talk, I will examine the widespread use of AI systems in hiring and employment, highlighting where these tools can be helpful and where they raise concerns around discrimination and validity. I will focus on three lines of work:
First, I will provide an overview of fairness in ranking, offering a perspective that connects formal definitions and algorithmic techniques to the value frameworks that motivate fairness interventions, and to the technical choices that shape the behavior and outcomes of these methods.
Second, I will discuss algorithmic recourse, which aims to help individuals reverse negative decisions—such as being screened out by an automated hiring system. I will highlight recent work exploring how resource constraints (i.e., a limited number of favorable outcomes) and competition influence the reliability and fairness of recourse over time.
Third, I will present findings from an audit of two commercial systems—Humantic AI and Crystal—which claim to infer job-seeker personality traits from resumes and social media data. I will describe our audit methodology and show that both systems exhibit instability in key measurement facets, rendering them unsuitable as valid instruments for pre-hire assessment.
I will conclude with a discussion of emerging legal and regulatory developments in the U.S. aimed at curbing the unaccountable use of AI in hiring, and reflect on what it would take to ensure these systems are safe, fair, and socially sustainable in this critical domain.
10.00 - 10:30
Coffee break
Voorhof/Senaatszaal
10.30 - 11:30
Lightning round 2
Blauwe zaal
Individual Fairness in Algorithmic Hiring
Dimitris SacharidisUncovering Social Scoring Systems and Their Impact on Fairness and Digital Dignity
Vlada DrutaThe social construction of algorithms and the limits of algorithmic transparency
Heiner HeilandEvaluating Gender Bias in Large Language Models in Academic Knowledge Production
Orsolya VásárhelyiShaping AI at Work: Unpacking the EU AI Act
Gwendolin BarnardABCFair: an Adaptable Benchmark approach for Comparing Fairness methods
MaryBeth DefranceFacial Demography Analysis of the LAION Dataset
Iris Dominguez-CatenaExposing Hidden Vulnerabilities: A privacy audit of algorithmic fairness
Niloy PurkaitReclaiming Human Rights for Platform Governance: Proposals for Restoring Their Centrality in the Era of Risks
Nicolás ZaraA Simulation Framework for Studying the Social Impacts of Algorithm-Based Refugee Matching
Christoph Kern
11.30 - 12:30
In-depth session 2
Lecture Hall 4 and Lecture Hall 5
Lecture hall 4
Reexamining the Site of Justice: The Case of Algorithmic Monoculture
Shiying LiThe World We See Through AI's Eyes: U.S. Cultural Dominance In Text-to-Image Generation
Aleksandra Urman
Lecture hall 5
Model-based Algorithmic Auditing of Social Media AI Algorithms
Jakub SimkoDetecting Discrimination in Job Vacancies: A Critical Reflection on the Potential of AI Language Models
Steven Vethman
12.30 - 13:30
Lunch
Voorhof/Senaatszaal
13.30 - 14:30
Lightning round 3
Lecture hall 4
Can AI Help Reduce Human Bias? Insights from Police Rearrest Predictions
Yong LeeWhat is Fairness? On Protected Attributes and Fictitious Worlds
Ludwig BothmannAlgorithmic Design and Discourse Theory of Democracy: Social Media Content Recommendation for Societal Good
Nikolaus PoechhackerInvestigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain
Dominik KowaldInvisible Inequalities - Intersectional Fairness in Educational AI
Marie MirschUncovering Areas for AI Governance Tools Refinement through Real-World Use Case Analysis from Canada, Chile and Singapore
Kate KayeHardness of Auditing Black-Box ML Models with Prospective Updates
Ayoub AjarraInfluence of Label and Selection Bias on Fairness Interventions
Magali LegastWe Need to Talk About Self-Fulfilling Predictions
Donal KhosrowiInvestigating fair data acquisition for risk prediction in resource-constrained settings
Ioanna Thoma
14.30 - 15:30
Poster session 2
Voorhof/Senaatszaal
AI Certification and Assessment Catalogues: Practical Use and Challenges in the Context of the European AI Act
Gregor AutischerWhat is Fairness? On Protected Attributes and Fictitious Worlds
Ludwig BothmannTowards Trustworthy Multi-stakeholder Recommender Systems
Adrian GavornikInvisible Inequalities - Intersectional Fairness in Educational AI
Marie MirschShaping AI at Work: Unpacking the EU AI Act
Gwendolin BarnardABCFair: an Adaptable Benchmark approach for Comparing Fairness methods
MaryBeth DefranceHardness of Auditing Black-Box ML Models with Prospective Updates
Ayoub AjarraRethinking Multiple and Intersectional Discrimination in Fair Machine Learning
Deborah D KanubalaInfluence of Label and Selection Bias on Fairness Interventions
Magali LegastModel-based Algorithmic Auditing of Social Media AI Algorithms
Jakub SimkoDetecting Discrimination in Job Vacancies: A Critical Reflection on the Potential of AI Language Models
Steven VethmanWhy are you Asking this? a Revision of the Android Permissions and their Privacy Concerns
Javier BustosFairness in Motion - Building Better Benchmarks for Fair Stream Learning
Kathrin Lammers, Valerie Vaquet, Barbara HammerLarge Language Models Reflect the Ideology of their Creators
Maarten BuylChallenges in Explainability for Silent Bias Detection
Marianne KramerLimitations of Using LLMs for Name-Based Gender Inference
Orsolya VásárhelyiOn the role of prognostic factors and effect modifiers in structural causal models
Rianne M. SchoutenMMM-fair: A Multi-objective, Multi-fairness boosting classifier
SwatiMeasuring Bias in Dutch Language Models Against LGBTQ+ Individuals
Jiska Beuk
15.30 - 17:00
Interactive Sessions 2
Auditorium 12, Auditorium 13, Auditorium 14
Auditorium 12
Redefining AI Fairness Through an Indigenous Lens
Myra Colis
Auditorium 13
From the other side – be the regulator and enforce fairness in algorithms
Uri Shimron, Marie Beth van Egmond, Alany Reyes Pichardo
Auditorium 14 [max 16 participants]
‘My documents’ game
Lorenzo Olivieri
19.00 - 21:00
Keep the conversation going and join us at Biergarten Eindhoven for a bite and some drinks!
The conference dinner is included in your ticket.
Location
The conference dinner will take place at Biergarten, which is located at the heart of the Strijp S area of Eindhoven:
Ketelhuisplein 16
5617 AE Eindhoven
How to get there
By foot: from the Auditorium building, you can reach Biergarten by foot in a little over 30 minutes.
By public transport: from the conference venue, you can walk to Eindhoven Central Station in about 10 minutes. At Eindhoven Central Station, regular buses (lines 401, 402, and 403) take you to Eindhoven, Strijp S, which is right next to Biergarten. The total trip takes about 20 minutes!
By taxi: there are several taxi companies available in Eindhoven, with roughly the same prices everywhere. You can use Uber.
By bike: if your hotel offers a bicycle rental, go for the full local Dutch experience and bike to the dinner venue!
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