Opportunities and challenges of multidisciplinary algorithmic impact assessments
Bibliographic Data
| ID | 15735867 |
|---|---|
| Authors | Juana Catalina Becerra Sandoval (0000-0003-0488-8898, corresponding author), Felicia S Jing (0000-0002-8872-2889), Adriana Alvarado Garcia (0000-0002-4230-3777), Sara Berger (0000-0002-7531-4421), Heloísa Candello (0000-0002-0365-8057, IBM Research - Brazil), Cindy Lustig (0000-0002-8993-7080, University of Washington) |
| Year | 2025 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2025-08-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Responsible Innovation (JOURNAL) |
| Journal identifiers | ISSN: 2329-9037 • E-ISSN: 2329-9460 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/23299460.2025.2499302 |
| OpenAlex | W4412991389 |
| Language | EN |
| Citations received | 1 |
| References cited | 66 |
In recent years, technology assessments, evaluations, and audits have emerged as a key strategy for surfacing and managing technology systems’ societal effects. However, the evaluation of computational and algorithmic systems has largely been approached through a uni-modal and uni-disciplinary perspective that heavily privileges computer science and engineering disciplines. Silos of discipline and modality, we argue, impose limitations on conceptions of what constitutes ‘technology’ – the object of the assessment – as well as how to evidence its risks and impacts. Reflecting on our experience conducting a multidisciplinary and multimodal assessment, we consider the opportunities afforded by evaluating from various lenses at once, and discuss the steep challenges of navigating tensions between different ways of knowing. Ultimately, we call on assessors to welcome unconventional methods and underrepresented disciplines into the assessment space, as a means to broaden our political visions of mitigation and ethics integration
Business · Economics · Engineering ethics · Management science · Multidisciplinary approach · Political science · Biomedical and Engineering Education · Engineering · Ethics and Social Impacts of AI · Law · Technology Assessment and Management
Weapons of Math Destruction
Algorithms of Oppression
Fairness and Abstraction in Sociotechnical Systems
Principles alone cannot guarantee ethical AI
The uselessness of AI ethics
Dissecting racial bias in an algorithm used to manage the health of populations
Of bicycles, bakelites, and bulbs
Introduction
Naked in the Face of Contamination
Enter the metrics
States of Knowledge
Beyond checklists
Imagining socio-technical futures – challenges and opportunities for technology assessment
Eclectic, random, intuitive? Technology assessment, RRI, and their use of history
Responsible innovation as a critique of technology assessment
The steep cost of capture
From Data Ethics to Data Justice in/as Pedagogy (Dispatch)
Assumptions Underlying Evaluation Models
Introduction
Rethinking Interdisciplinarity across the Social Sciences and Neurosciences
Affective Labor in Integrative STS Research
Shared Cognitive-Emotional-Interactional Platforms
Social impacts of algorithmic decision-making
Owning Ethics
The Structure of Scientific Revolutions
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |