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AI Futures: the virtue triad of regulation, self-governance, and leadership

Abstract

The development and rapid advancement of generative artificial intelligence has regulators racing to govern this digital revolution while enabling its benefits for humanity, with tensions also surfacing in associated organisations between purpose and profit. This project aims to investigate the governance challenges and roles of various actors to mitigate risk and ethics of artificial intelligence, focussing on the interplay of multiple governance levels. The project will develop an integrative system of digital governance regulation (national/supra-national), self-governance (organizations), and responsible leadership (key decision-makers/boards) in the form of a governance toolkit. This will support responsible multi-level oversight.

Experts

Professor Thomas Maak

Professorial Chair in Ethics
School of Business
Faculty of Business, Economics and Law
Thomas Maak
Thomas Maak

Dr Caitlin Curtis

Affiliate of Centre for Enterprise AI
Centre for Enterprise AI
Faculty of Engineering, Architecture and Information Technology
Affiliate of Centre for Policy Futures
Centre for Policy Futures
Faculty of Humanities, Arts and Social Sciences
Lecturer
School of Business
Faculty of Business, Economics and Law
Affiliate of Queensland Digital Health Centre
Queensland Digital Health Centre
Faculty of Health, Medicine and Behavioural Sciences
Affiliate of Centre for Digital Cultures & Societies
Centre for Digital Cultures & Societies
Faculty of Humanities, Arts and Social Sciences
Affiliate Research Fellow of School of Public Health
School of Public Health
Faculty of Health, Medicine and Behavioural Sciences
Caitlin Curtis
Caitlin Curtis