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Theis, S., Jentzsch, S., Deligiannaki, F., Berro, C., Raulf, A.P. and Bruder, C. (2023) Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work. In: Degen, H. and Ntoa, S., Eds., Artificial Intelligence in HCI, Springer, 355-380.
https://doi.org/10.1007/978-3-031-35891-3_22

has been cited by the following article:

• TITLE: Regulating AI: A Comprehensive Review of Strategies for the Ethical and Safe Use

  AUTHORS: Hong Yu

  KEYWORDS: Artificial Intelligence, Human, Technology, Ethics, Policy

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.10, October 10, 2025

  ABSTRACT: Artificial intelligence (AI) technologies are progressing rapidly, presenting opportunities and intricate ethical and legal issues. This evaluation delineates modern methodologies and classifications of AI governance to facilitate its secure and beneficial implementation. Ethical considerations must be integrated into AI frameworks emphasizing transparency, accountability, and fairness. The paper also addresses the imperative of financing AI safety research to mitigate dangers, especially those associated with bias and unemployment. Ultimately, despite the urgency to deploy a model, it is imperative to solve numerous issues associated with large-scale implementation, necessitating thorough testing and validation before utilizing an AI system. The development of AI is subject to regulation by regulatory authorities that will maintain ethical standards and address public concerns. Moreover, promoting transparency and public awareness is a crucial element in effective AI governance. The paper outlines a strategy for future research to improve regulatory mechanisms to ensure AI algorithms promote ethical conduct while reducing obstacles to innovation and societal welfare. The paper presents a plan for future research to enhance regulatory instruments for maintaining AI algorithms that drive ethical behaviour and minimize barriers to innovation and society’s well-being.