AI risks: An organisational practice approach to trustworthiness
Paper in proceeding, 2024

Artificial intelligence (AI) is in need for a framework that balances the opportunities it represents with its risks. But while there is a broad consensus on this, and public regulative initiatives are taken; there is far less knowledge about how these dilemmas/opportunities/risks are played out in practice. The interest into ethics in organisation driven by a discourse on "Trustworthy AI"; makes us wonder whether an ethical approach to AI in organisation is purposeful; or needs modification. We investigate this by viewing the development and use of AI as structuration of practices. The empirical material is our own development of an AI system. Using studies of ethics in moral engineering design; AI is a question of structuration processers with unintended consequences. It is a "slide" from ethics of virtue to ethics of benefit as corroborated by engineers/designers referring ethical dilemmas to managers and politicians. The EU framework of Trustworthy AI for designing and using more accountable AI systems-considering ethics; human autonomy; harm prevention; fairness etc., conflicts with contemporary construction organisations. We propose an extension of the EU guidelines.

EU guidelines

trustworthy AI

contemporary organisation

Artificial Intelligence

ethics

accident prevention

explainable AI

Author

Christian Koch

University of Southern Denmark

Halmstad University

May Shayboun

Halmstad University

Dimosthenis Kifokeris

Chalmers, Architecture and Civil Engineering, Building Design

Published in

Association of Researchers in Construction Management, ARCOM 2024 - Proceedings of the 40th Annual Conference

p. 129-138
9780995546387 (ISBN)

Conference

40th Annual Conference on Association of Researchers in Construction Management, ARCOM 2024
London, United Kingdom, 2024-09-01 - 2024-09-03

Research Project(s)

Accident prevention through machine learning at a construction contractor

Development Fund of the Swedish Construction Industry (SBUF) (14159), 2022-10-01 -- 2025-04-01.

Categorizing

Subject Categories

Construction Management

Identifiers

More information

Latest update

11/15/2024