Achieving a Data‐Driven Risk Assessment Methodology for Ethical AI
Felländer, Anna; Rebane, Jonathan; Larsson, Stefan; Wiggberg, Mattias, et al. (2022-08-18). Achieving a Data‐Driven Risk Assessment Methodology for Ethical AI. Digital Society, 1, (2), 1 - 27
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Published
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English
Authors:
Felländer, Anna
;
Rebane, Jonathan
;
Larsson, Stefan
;
Wiggberg, Mattias
, et al.
Department:
Department of Technology and Society
AI and Society
Real Estate Science
Project:
AI Transparency and Consumer Trust
Ramverk för Hållbar AI
Research Group:
AI and Society
Abstract:
The AI landscape demands a broad set of legal, ethical, and societal considerations to be accounted for in order to develop ethical AI (eAI) solutions which sustain human values and rights. Currently, a variety of guidelines and a handful of niche tools exist to account for and tackle individual challenges. However, it is also well established that many organizations face practical challenges in navigating these considerations from a risk management perspective within AI governance. Therefore, new methodologies are needed to provide a well-vetted and real-world applicable structure and path through the checks and balances needed for ethically assessing and guiding the development of AI. In this paper, we show that a multidisciplinary research approach, spanning cross-sectional viewpoints, is the foundation of a pragmatic definition of ethical and societal risks faced by organizations using AI. Equally important are the findings of cross-structural governance for implementing eAI successfully. Based on evidence acquired from our multidisciplinary research investigation, we propose a novel data-driven risk assessment methodology, entitled DRESS-eAI. In addition, through the evaluation of our methodological implementation, we demonstrate its state-of-the-art relevance as a tool for sustaining human values in the data-driven AI era.
Keywords:
AI ethics ;
AI governance ;
ethical assessment ;
multidisciplinary research ;
sustainable AI ;
Other Engineering and Technologies ;
Law and Society ;
Social Sciences Interdisciplinary
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