Towards Responsible AI: Exploring AI Frameworks, Ethical Dimensions and Regulations

Abstract

The concept of ‘intelligence’ used to differ between human and machines, until the disruption of artificial intelligence (AI). The field of AI is advancing far more rapidly than the establishment of rules and regulations, which is causing certain fear. However, slowing down this progression to avoid economic crisis is not an option because of open-source AI, which facilitates faster development processes and collective contributions to codes and algorithms. Public policies, such as the ‘European Union AI Act (EU AI)’, ‘Whitehouse AI’, and the G7's ‘Hiroshima Artificial Intelligence Process’ (HAP), are already drafted. Regulators need to adopt a dynamic approach given AI's rapid advancement, and they need to eventually strive for international harmonisation in their rules and regulations for better collaborations. The EU's AI Act is the ‘world's first comprehensive law’ and it focuses on five main pillars similar to other countries drafts: ensuring AI usage is safe, transparent, traceable, non-discriminatory and environmentally friendly. They portray four risk categories against which citizens can file complaints: (1) Unacceptable risk (2) High risk (3) Generative AI (4) Limited risk. The US AI policies include ‘The Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People’ and the ‘Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence’. This conceptual study extensively reviews the concept of AI and compares pioneering draft laws while providing recommendations on ethics and responsible AI. The contribution of this study is that it sheds light on the evolving evolution of AI and the challenges posed by the rapid advancement of AI technology, emphasising the necessity for flexible and adaptive regulatory frameworks. This is the first paper to explore AI from the academic and political perspective.

Citation

El-Deeb, S., Jahankhani, H., Amin Metwally Hussien, O.A. and Will Arachchige, I.S. (2024), "Towards Responsible AI: Exploring AI Frameworks, Ethical Dimensions and Regulations", Dadwal, S.S., Jahankhani, H. and Revett, K. (Ed.) Market Grooming, Emerald Publishing Limited, Leeds, pp. 139-157. https://doi.org/10.1108/978-1-83549-001-320241007