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05/01/2023
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities
Human-AI decision making is becoming increasingly ubiquitous, and explan...
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04/21/2023
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments
The creation of relevance assessments by human assessors (often nowadays...
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04/20/2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK
Public attention towards explainability of artificial intelligence (AI) ...
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05/09/2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems
In an effort to regulate Machine Learning-driven (ML) systems, current a...
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07/05/2021
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision
Researchers have identified datasets used for training computer vision (...
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11/06/2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity
Machine Learning (ML) is increasingly applied in real-life scenarios, ra...
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11/06/2019
