activity
20212025
most citedA.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities

4 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2025

Two Means to an End Goal: Connecting Explainability and Contestability in the Regulation of Public Sector AI

Timothée Schmude, Mireia Yurrita, Kars Alfrink +3

Explainability and its emerging counterpart contestability have become important normative and design principles for trustworthy AI as they enable users and subjects to understand…

cs.AI2024

From Stem to Stern: Contestability Along AI Value Chains

Agathe Balayn, Yulu Pi, David Gray Widder +9

This workshop will grow and consolidate a community of interdisciplinary CSCW researchers focusing on the topic of contestable AI. As an outcome of the workshop, we will synthesize…

cs.HC2024★ 2 cited

An Empirical Exploration of Trust Dynamics in LLM Supply Chains

Agathe Balayn, Mireia Yurrita, Fanny Rancourt +2

With the widespread proliferation of AI systems, trust in AI is an important and timely topic to navigate. Researchers so far have largely employed a myopic view of this relationsh…

cs.HC2023★ 1 cited

Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities

Mireia Yurrita, Agathe Balayn, Ujwal Gadiraju

Human-AI decision making is becoming increasingly ubiquitous, and explanations have been proposed to facilitate better Human-AI interactions. Recent research has investigated the p…

cs.AI2022★ 4 cited

A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities

Andrea Tocchetti, Lorenzo Corti, Agathe Balayn +4

Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness remains elusive and constitutes a key issue that impedes large-scale adoption. Robustne…

cs.LG2022★ 2 cited

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Mireia Yurrita, Dave Murray-Rust, Agathe Balayn +1

In an effort to regulate Machine Learning-driven (ML) systems, current auditing processes mostly focus on detecting harmful algorithmic biases. While these strategies have proven t…

cs.MA2021

Dynamic Urban Planning: an Agent-Based Model Coupling Mobility Mode and Housing Choice. Use case Kendall Square

Mireia Yurrita, Arnaud Grignard, Luis Alonso +4

As cities become increasingly populated, urban planning plays a key role in ensuring the equitable and inclusive development of metropolitan areas. MIT City Science group created a…