Putting AI ethics to work: are the tools fit for purpose?

نویسندگان

چکیده

Abstract Bias, unfairness and lack of transparency accountability in Artificial Intelligence (AI) systems, the potential for misuse predictive models decision-making have raised concerns about ethical impact unintended consequences new technologies society across every sector where data-driven innovation is taking place. This paper reviews landscape suggested frameworks with a focus on those which go beyond high-level statements principles offer practical tools application these production deployment systems. work provides an assessment lens known best practices audit technology. We review other historical uses risk assessments audits create typology that allows us to compare current AI ethics Best Practices found previous methodologies from technology, environment, privacy, finance engineering. analyse their support diverse stakeholders components development lifecycle as well types used facilitate use. From this, we identify gaps auditing should be considered going forward.

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ژورنال

عنوان ژورنال: AI and ethics

سال: 2021

ISSN: ['2730-5953', '2730-5961']

DOI: https://doi.org/10.1007/s43681-021-00084-x