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ICT Open 2022

Responsible AI track

Artificial Intelligence is advancing at a rapid pace, and an increasing number of AI applications pervades our daily lives and social structures in important domains such as medicine, education, engineering, surveillance, transportation, media and law. While AI is expected to yield significant positive impacts in knowledge, efficiency and productivity, we risk profound social, ethical and economic consequences if AI is not employed responsibly.

This track focuses on the analysis, design, development, use and evaluation of responsible artificial systems, as well as tools to determine when and how artificial systems should act responsibly. The list of topics includes: fairness, transparency and explainability of AI systems; ethical and legal guidelines for AI; and the use of AI ‘for good’ (e.g. to increase diversity or counter human biases). We aim to provide an environment to foster interaction among researchers from different disciplines, who focus on different aspects of Responsible AI.

Chairs
Floris Bex - Utrecht University and Tilburg University
Aybüke Özgün – University of Amsterdam

Invited speakers

Marija Slavkovik

Thursday 7 April
14:30 - 15:00 hour

Oral presentations round 1

Debugging computer vision models using explainability methods: a study and new approach

Agathe Balayn (TU Delft) (e.a.)

Thursday 7 April
11:30 - 11:45 hour

Algorithm curation and the emergence of filter bubbles - an ABM approach

Marcio Fuckner (Hogeschool van Amsterdam) (e.a.)

Thursday 7 April
11:45 - 12:00 hour

"I don't know": A Self-aware Personal Assistant for Automated Privacy Decisions

Gönül Aycı (Universiteit van Utrecht) (e.a.)

Thursday 7 April
12:00 - 12:15 hour

Polyvocal knowledge representation: historically marginalised groups in linked open data

Andrei Nesterov (CWI) (e.a.)

Thursday 7 April
12:15 - 12:30 hour

Oral presentation round 2

Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS

Ayushi Rastogi (Rijksuniversiteit Groningen) (e.a.)

Thursday 7 April
15:00 - 15:15 hour

Exploring Bias in Data and Models for Misinformation Detection from Text

Suzana Basic (Hogeschool van Amsterdam) (e.a.)

Thursday 7 April
15:15 - 15:30 hour

Posters

Eye of the Beholder - Transparent AI Pipelines for Information Quality Prediction

Dirk Meijer (CWI)

ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection

Linhao Meng (TU Eindhoven)

Process Oriented Evaluation From Responsible AI Perspective

Syeda Amna Sohail (Universiteit Twente) (e.a.)

Generating Realistic Natural Language Counterfactuals

Marcel Robeer (Universiteit van Utrecht) (e.a.)

Quality Criteria for AI-Enabled Systems

Petra Heck (Fontys Hogeschool) (e.a.)

PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy

Onuralp Ulusoy (Universiteit van Utrecht) (e.a.)

Computational Theory of Mind for Human-Agent Coordination

Emre Erdogan (Universiteit van Utrecht) (e.a.)

Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents

Pei-Yu Chen (TU Delft) (e.a.)

Unsupervised Bias Discovery for Fair AI

Emma Beauxis-Aussalet (Vrije Universiteit) (e.a.)

Transparent human-in-the-loop classification of fraudulent web shops

Daphne Odekerken (Universiteit van Utrecht) (e.a.)

Machine-annotated Rationales: Faithfully Explaining Text Classification

Elize Herrewijnen (Universiteit van Utrecht) (e.a.)

Automation and meaning

Milena Nikolova (Rijksuniversiteit Groningen) (e.a.)

Demo stands

Honest Mirror: an AI-driven app fostering oral presentation skills in higher education

Bo Sichterman (Hogeschool Utrecht) (e.a.)

Explabox: Explaining and Analyzing Text Classification Models

Marcel Robeer (Universiteit van Utrecht) (e.a.)

Come meet DIANNA: explainable AI for your research

Elena Ranguelova (Netherlands eScience Center) (e.a.)


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