TY - GEN
T1 - Investigations to Facilitate Human-Centred AI Development in Manufacturing
AU - Hartikainen, Maria
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Human-AI Collaboration
KW - Human-Centred Artificial Intelligence
KW - Human-Centred Design
KW - Hybrid Human-AI Intelligence
KW - Smart Manufacturing
U2 - 10.3233/FAIA240210
DO - 10.3233/FAIA240210
M3 - Conference contribution
AN - SCOPUS:85198735781
VL - 386
T3 - Frontiers in Artificial Intelligence and Applications
SP - 371
EP - 378
BT - HHAI 2024: Hybrid Human AI Systems for the Social Good
A2 - Lorig, Fabian
A2 - Tucker, Jason
A2 - Lindstrom, Adam Dahlgren
A2 - Dignum, Frank
A2 - Murukannaiah, Pradeep
A2 - Theodorou, Andreas
A2 - Yolum, Pinar
PB - IOS Press BV
T2 - International Conference on Hybrid Human-Artificial Intelligence
Y2 - 10 June 2024 through 14 June 2024
ER -