Investigations to Facilitate Human-Centred AI Development in Manufacturing

Abstract

The integration of artificial intelligence (AI) into various domains offers promising opportunities for innovation and growth. However, alongside these benefits, there is a growing recognition of the potential societal impacts and ethical concerns associated with AI deployment. Addressing these considerations requires a shift towards more human-centred approaches to AI development, emphasising the importance of understanding humans and societal dynamics. My doctoral research explores the concept of Human-Centred Artificial Intelligence (HCAI) especially within the context of smart manufacturing, where AI technologies play a pivotal role in optimising production processes. By facilitating collaboration between humans and AI systems, often referred to as hybrid human-AI intelligence, organisations can enhance productivity while ensuring worker satisfaction and safety. This research proposal outlines a comprehensive investigation into HCAI design and development, aiming to identify novel techniques for integrating human and AI expertise effectively. Through a combination of theoretical analysis and empirical studies conducted in real-world manufacturing environments, this research seeks to contribute to the advancement of HCAI and facilitate the responsible deployment of AI systems in manufacturing and beyond.