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Schedule

Below you will find the preliminary schedule, including keynotes, plenary sessions, networking events, and community activities. Please note that times and details are subject to change as we finalize logistics.

In addition to the day-by-day agenda, we also include the list of accepted papers organized by thematic sessions. These sessions highlight the diverse and interdisciplinary research presented at EAAMO 2025, ranging from algorithmic fairness and bias to human–AI collaboration, policy implications, and social impact applications.

Stay tuned for updates as we confirm speakers, chairs, and session details in the coming weeks.


November 5, 2025 #

TimeEvent
9:00 AMConference opening
9:30 AMPlenary talk: Nyalleng Moorosi
10:45 AMCoffee break
11:15 AMSession 1 - Resource Allocation, Moderation, and Participation
12:30 PMDC & Faculty Network Lunch
1:45 PMSession 2 - AI Applications in Social and Economic Systems
3:00 PMPlenary talk: Rayid Ghani, Pim Welle, Randall Taylor
4:15 PMCoffee break
4:30 PMDC Speaker: Amin Rahimian (with DC panel)
6:00 PMPoster Session

November 6, 2025 #

TimeEvent
9:00 AMBreakfast
9:30 AMSession 3 - Session 3 (75 min): Bias & Representation in AI Systems
10:45 AMCoffee break
11:15 AMSession (Best Paper)
12:30 PMLunch & Working Group Tables (Funding)
1:45 PMWG: Principles & Performance Metrics
3:00 PMSession 4 - Human-AI Collaboration & Decision-Making
4:15 PMCoffee break
4:30 PMSession 5 - Algorithmic Fairness & Recourse
6:00 PMSocial Event @ Phipps

November 7, 2025 #

TimeEvent
8:00 AMCapeTown - London EAAMO Meetup / Networking
9:00 AMBreakfast
9:30 AMPlenary talk: Catherine D’Ignazio
10:30 AMCoffee break
10:45 AMSession 6 - Empathy, Reflexivity, and Inclusive AI
12:00 PMSession 7 - Societal & Policy Implications of AI
1:00 PMLunch (Funding)
1:45 PMWG: Performance Metrics Makerspace (Funding)
3:00 PMClosing remarks

Thematic Sessions #

A complete list of accepted papers can be found in this page.

Wednesday #

Session 1 (75 min): Resource Allocation, Moderation, and Participation

  • AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
  • Epistemic vs. Counterfactual Fairness in Allocation of Resources
  • The Feedback Loop of Statistical Discrimination
  • Fair Decisions through Plurality: Results from a Crowdfunding Platform
  • “I shouldn’t have to scan my face to play a video game”: dissonance in harm and values in children’s online media policy

Session 2 (60 min): AI Applications in Social and Economic Systems

  • The Hidden Cost of Waiting for Accurate Predictions
  • Why the Rooney Rule Fumbles: Limitations of Interview-stage Diversity Interventions in Labor Markets
  • A community-driven optimization framework for redrawing school attendance boundaries
  • Battery Operations in Electricity Markets: Strategic Behavior and Distortions

Thursday #

Session 3 (75 min): Bias & Representation in AI Systems

  • Language Models Generate Widespread Intersectional Biases in Narratives of Learning, Labor, and Love
  • Africa Health Check: Probing Cultural Bias in Medical LLMs
  • Challenging the Validity of Personality Tests for Large Language Models
  • Digital Pulse of Development: Constructing Poverty Metrics from Social Media Discourse
  • Echoes of Eugenics: Tracing the Ideological Persistence of Scientific Racism in Scholarly Discourse (Non-archival)

Best Paper Session (60 min)

  • Optimization Meets Participation: Iterative Zone Generation for School Assignment
  • Identity-related Speech Suppression in Generative AI Content Moderation

Session 4 (60 min): Human-AI Collaboration & Decision-Making

  • Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
  • Human-AI Collaboration with Misaligned Preferences
  • Direct Alignment with Heterogeneous Preferences
  • Prediction, Performativity, and Potential Outcomes: Communicative Rationality in Prediction-Allocation Problems

Session 5 (60 min): Algorithmic Fairness & Recourse

  • FairWAG: Fairness-aware Weighted Aggregation for Graph Learning in a Federated Setting
  • Realizing the Promises of Algorithmic Recourse through Reliability, Accessibility, and Fairness Principles
  • Be Intentional About Fairness! Fairness, Size, and Multiplicity in the Rashomon Set
  • How Much Effort Is Enough? Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Friday #

Session 6 (60 min): Empathy, Reflexivity, and Inclusive AI

  • Archaeology of Self: Reflexivity in Data Activism to Address Systemic Injustices
  • Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming
  • Toward Community-Led Evaluations of Text-to-Image AI Representations of Disability, Health, and Accessibility
  • Reconsidering Fairness Through Unawareness from the Perspective of Model Multiplicity

Session 7 (60 min): Societal & Policy Implications of AI

  • The Backfiring Effect of Weak AI Safety Regulation
  • From Incidents to Insights: Patterns of Responsibility following AI Harms
  • Policy Design in Long-Run Welfare Dynamics
  • Anti-Regulatory or Not: How ‘AI Safety’ is Leveraged Against Regulatory Oversight