Advancing impact assessment for intelligent systems
Nature Machine Intelligence
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Calvo, R., Peters, D., & Cave, S. (2020). Advancing impact assessment for intelligent systems. Nature Machine Intelligence, 2 (2), 89-91. https://doi.org/10.1038/s42256-020-0151-z
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.
External DOI: https://doi.org/10.1038/s42256-020-0151-z
This record's URL: https://www.repository.cam.ac.uk/handle/1810/300852
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