Harmony Unleashed: Exploring the Ethical and Philosophical Aspects of Machine Learning in Human-Robot Collaboration for Industry 5.0
Muhammad Hamza Zafar, Filippo Sanfilippo, Tomas Blažauskas
- Year
- 2023
- Citations
- 6
Abstract
As Industry 5.0 emerges by blending advanced technologies with human-centered approaches, the integration of machine learning (ML) in human-robot collaboration (HRC) becomes increasingly prominent. This paper explores the philosophy and ethics underlying the application of machine learning in Industry 5.0, specifically focusing on HRC. It examines the ethical considerations, philosophical implications, and potential challenges that arise in this evolving paradigm. The paper emphasises the need for a thoughtful and ethical approach to ensure the beneficial and responsible use of ML in Industry 5.0.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002