TL;DR
This paper explores the ethical considerations essential for developing AI systems that serve social good, addressing gaps in understanding, policy, and practical implementation to guide future AI4SG initiatives.
Contribution
It provides a comprehensive analysis of the ethical principles and policies necessary for ensuring AI for Social Good is beneficial and socially responsible.
Findings
Identifies key ethical characteristics for AI4SG
Highlights policy and regulation gaps
Emphasizes importance of ethical frameworks in AI development
Abstract
The concept of AI for Social Good(AI4SG) is gaining momentum in both information societies and the AI community. Through all the advancement of AI-based solutions, it can solve societal issues effectively. To date, however, there is only a rudimentary grasp of what constitutes AI socially beneficial in principle, what constitutes AI4SG in reality, and what are the policies and regulations needed to ensure it. This paper fills the vacuum by addressing the ethical aspects that are critical for future AI4SG efforts. Some of these characteristics are new to AI, while others have greater importance due to its usage.
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