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Advancing impact assessment for intelligent systems

Accepted version
Peer-reviewed

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Type

Article

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Authors

Calvo, Rafael 

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

Volume Title

2

Publisher

Nature

Rights

All rights reserved
Sponsorship
Leverhulme Trust