Artificial Intelligence (AI): Rise, Challenges and the Need for AI Governance

Abstract

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, speech recognition, and visual perception. AI is a multidisciplinary field that combines computer science, mathematics, cognitive science, and various engineering disciplines. AI holds immense potential for positive impact, however it also raises ethical, societal, and regulatory concerns, like-bias in algorithms, job displacement due to automation, data privacy, and accountability. Thereby Artificial Intelligence (AI) governance is emerging as a current critical and interdisciplinary field, addressing the ethical, legal, and societal challenges associated with the rapid development and deployment of AI technologies. This paper shall provide an overview of the key issues and considerations within AI governance, focusing on the need for comprehensive frameworks to ensure responsible and accountable AI development and use. Further the paper shall deal with the following key aspects in detail:

èEthical AI Development

èTransparency and Accountability

èLegal and Regulatory Frameworks

èPublic Awareness and Engagement

èGlobal Collaboration

èAdaptation

Objective: The main focus of this paper is to highlight the issues with AI development and the governance required in order to frame out a regulation.

Research Methodology: This paper will be based on primary sources like public opinion and secondary sources like international conventions, judgments, scholarly articles and newspaper articles.