Towards an XAI alignment workshop: a practice-oriented, multi-stakeholder approach for human-centred AI explanations

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

The field of Explainable AI (XAI) aims to find ways to create understandable and transparent AI systems to promote fairness, prevent bias and to make dealing with the systems easier. In our research we expand upon the existing approaches from a living labs and human-centred-design perspective. We present the XAI alignment workshop and its train-the-trainer concept as the first step of a holistic development methodology for context-specific explainable AI. Our aim is twofold: we focus (1) on how to create and embed AI explanations in a human context and (2) on how to support practitioners in doing so, since most systems that will affect the lives of people are created by professionals within a business context. To bridge the gap between research and practice, we are developing the workshop through case studies, and we created the train-the-trainer concept to try to empower practitioners to take ownership over the materials and build a more context-specific, inclusive and transparent way of working within their AI projects.
Original languageEnglish
Title of host publicationProceedings of the Digital Living Lab Days Conference 2021
Subtitle of host publicationChange the future together: Co-creating impact for more inclusive, sustainable & healthier cities and communities
Place of PublicationBrussels
Publisher European Network of Living Labs
Pages260-267
Number of pages8
ISBN (Electronic)9789464442854
Publication statusPublished - 2 Sep 2021
EventDigital Living Lab Days Conference 2021: Change the future together: Co-creating impact for more inclusive, sustainable & healthier cities and communities - Online, Brussels, Belgium
Duration: 6 Sep 202110 Sep 2021
https://openlivinglabdays.com

Conference

ConferenceDigital Living Lab Days Conference 2021
CountryBelgium
CityBrussels
Period6/09/2110/09/21
Internet address

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