Artificial Intelligence and Society: Governance Models and Ethical Risks

Abstract

The Artificial Intelligence (AI) has become a ground-breaking force in various markets that is transforming economies, industries and societies. However, as AI technologies evolve, the need to have effective patterns of governance and ethics continues to rise. The article is a research study, which explores the implication of AI on social life that includes the systems of government and the ethical hazard of its integration. It attracts attention to a moderate stance, according to which the evolution of AI cannot be unequal with the values and human rights in society but the negative impact that can be caused should be minimized. The various types of governance, centralized government regulation to decentralized ones, with other stake holders in the various sectors participating, academia, industry and civil society are discussed in the paper. Moreover, it brings up such ethical concerns as privacy, algorithm bias, goal displacement, and autonomy of the AI systems. The paper recommends a general AI governance framework, which considers the principles of transparency, accountability, fairness, and inclusivity. The given model can be used in the attempt to create a holistic approach towards managing the social impact of AI without compromising ethical concerns. The paper also emphasizes that there is a necessity to engage in interdisciplinary collaboration, involve the rest of society, and other countries to develop the regulatory framework that can become useful in the regulation of AI technologies. Lastly, this article suggests the proactive steps that should be implemented to ensure that AI will do something such that it will be equitable, ethical and sustainable to the society.