Richard Sentinella
Last Name
Sentinella
First name
Richard
Phone
+41 71 224 7400
4 results
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Item type:Publication, Identifying and Overcoming Organization and Ethical Barriers to AI Adoption(2023-05-26); ; Technology companies are leading the pack in the use of Artificial Intelligence (AI) and other industries are taking advantage of AI to streamline processes and increase competitive advantage. On the way to implementing AI, organizations face ethical and organizational obstacles, which this study identifies through a structured literature review. It identifies six general ethical barriers to AI adoption, i.e., human well-being, trust, fairness, transparency, oversight & regulation, and accountability and four organizational barriers, i.e., resources, governance, culture, and employee intention to use AI. The study then examines two AI organizational governance frameworks and discusses how they might be useful in overcoming the barriers.Type:conference paperJournal:1ST INTERDISCIPLINARY CONFERENCE ON MANAGEMENT, INFORMATION TECHNOLOGY AND COMPUTER SCIENCES - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Trust, Fairness, and Human Well-Being: Responsible AI Governance’s Effect on AI Use(2023-10-10); ; Type:conference paperJournal:20th EIASM WORKSHOP ON CORPORATE GOVERNANCE - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Management Control oriented Governance Framework for Artificial Intelligence(2022-11-07); ; In an age of increasing access to and power of artificial intelligence (AI), ethical concerns, such as fairness, transparency, and human well-being have come to the attention of regulators, standard setting bodies, and organizations alike. In order to build AI-based systems that comply with new rules, organizations will have to adopt systems of governance. This study develops, based on existing frameworks and a multiple case study, a governance framework specifically designed with these challenges in mind: The St. Gallen Governance Framework for Artificial Intelligence focuses on identifying stakeholder concerns and strategic goals, building a management control system, assigning roles and responsibilities, and incorporating dynamism into the system of governance.Type:conference paperJournal:EIASM WORKSHOP ON GOVERNANCE AND MANAGEMENT OF DIGITALIZATION - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Trust, Fairness, and Human Well-being: Responsible AI’s Effect on AI Aversion(2024-01-17); ; Type:working paperJournal:Working Paper Series of the Institute of Accounting, Control and Auditing