Advancing impact assessment for intelligent systems
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Calvo, Rafael
Peters, Dorian https://orcid.org/0000-0002-4767-4198
Cave, Stephen https://orcid.org/0000-0002-0764-0874
Abstract
It is the 50th anniversary of the Environmental Impact Assessment (EIA), a significant step forward toward making engineering more socially responsible. But a growing number of policymakers are now voicing the need for an approach to assess the human and social impacts of intelligent systems. We discuss how the EIA provides a partial blueprint for what we call a Human Impact Assessment for Technology (HIAT) and how more recent algorithmic and data protection impact assessment initiatives can contribute. We also discuss how ethical frameworks for such a human impact assessment could draw on recently established AI ethics principles. We argue that this approach will help build trust in an industry facing increasing criticism and scrutiny.
Description
Keywords
46 Information and Computing Sciences, 4608 Human-Centred Computing
Journal Title
Nature Machine Intelligence
Conference Name
Journal ISSN
2522-5839
2522-5839
2522-5839
Volume Title
2
Publisher
Nature
Publisher DOI
Rights
All rights reserved
Sponsorship
Leverhulme Trust