Elements of AI Ethical Regulatory Framework and SDGs

Background

Siau and Wang (2020), emphasize the urgent need to pay attention to the Ethics of AI. The authors advocate that the formulation of Ethics of AI which according to them refers to ethical rules, regulations, guidelines frameworks, etc. will lead to the development of Ethical AI. This entails the ethical manner in which AI systems and agents should perform or behave. The paper talks about various ethical dilemmas that might arise due to the intrinsic nature of AI systems, including transparency, data privacy and security, autonomy, and responsibility. Additionally, it also reflects upon the ethical concerns that arise due to human factors such as human biases, human rights laws, accountability, and ethical standards. They note that these ethical complexities pose challenges for both government and industry in the face of continuous AI advancement. Hence, the authors advocate the establishment of an AI ethics framework or guidelines, for the adoption of AI systems. Kazim and Koshiyama (2021) add an interesting dimension to this discussion by examining the origins of ethics of AI. The authors identify AI ethics as a subset of digital ethics that deals with the ethical considerations in the development and deployment of digital technologies. The paper also identifies safety, human-centric AI, transparency, and fairness as key themes for translating ethics into engineering practice. Both Siau and Wang (2020) and, Kazim and Koshiyama (2021), highlight the importance of addressing biases and accountability issues in AI systems and the need to ensure equal access.