IEEE Transactions on Technology and Society · 2020 · 267 citations · 49 references
Artificial IntelligenceComputer EthicComplementary FrameworksEducationDigital EthicResearch EthicsEthical PracticeEthic Of TechnologyResponsible AiResponsible Ai—two FrameworksDigital HealthPublic HealthTelehealthEthic Of Artificial IntelligenceEthics In Knowledge RepresentationResponsible TechnologyDesignEthical IssuesArtificial Intelligence EthicsMedical EthicsTechnologyHealth Informatics
In 2019, IEEE launched the P7000 standards to address ethical issues in autonomous and intelligent systems amid growing public concern and a lack of anticipatory processes, highlighting the challenge of translating principles into practice. The authors present two complementary frameworks for embedding ethical analysis into engineering practice and aim to provide tools and insights applicable beyond digital mental health. These frameworks operationalize ethical analysis by guiding engineers through systematic evaluation steps within project workflows. Applying the frameworks to Internet‑delivered therapy revealed specific ethical outcomes that inform digital mental‑health practice and demonstrate the frameworks’ broader applicability.
In 2019, the IEEE launched the P7000 standards projects intended to address ethical issues in the design of autonomous and intelligent systems. This move came amidst a growing public concern over the unintended consequences of artificial intelligence (AI), compounded by the lack of an anticipatory process for attending to ethical impact within professional practice. However, the difficulty in moving from principles to practice presents a significant challenge to the implementation of ethical guidelines. Herein, we describe two complementary frameworks for integrating ethical analysis into engineering practice to help address this challenge. We then provide the outcomes of an ethical analysis informed by these frameworks, conducted within the specific context of Internet-delivered therapy in digital mental health. We hope both the frameworks and analysis can provide tools and insights, not only for the context of digital healthcare but also for data-enabled and intelligent technology development more broadly.
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Developing a framework for responsible innovation
Jack Stilgoe, Richard Owen, Phil Macnaghten · Research Policy · 2013 · 2.8K citations · Full text