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Maintaining Human Expertise in an AI-driven World (2024-2027)

Abstract

While information systems with artificial intelligence are increasingly used to support or automate work tasks, this can come at a cost to the development and retention of essential skills in workers. Skill erosion can jeopardise safety and fairness in contexts where humans' skills are needed. This innovative project leverages systems thinking, case studies and action design research to investigate how leveraging artificial intelligence shapes workers' skills. Its expected outcomes include a new systems theory of skill erosion and organisational guidelines for managing artificial intelligence. These can help organisations maximise human potential by striking a balance between relying on automation and maintaining workers' skills.

Experts

Dr Tapani Rinta-Kahila

Affiliate of Centre for Enterprise AI
Centre for Enterprise AI
Faculty of Engineering, Architecture and Information Technology
Senior Research Fellow
School of Business
Faculty of Business, Economics and Law
Tapani Rinta-Kahila
Tapani Rinta-Kahila