Navigating Complexities of Artificial Intelligence And Machine Learning: Addressing Ethical, Social, Security, Environmental and Governance Challenges
Year: 2025
Type: article
Abstract: The rapid evolution of artificial intelligence (AI) and machine learning (ML) has brought about transformative benefits, but also raises critical concerns. This paper presents a comprehensive analysis of the intricate challenges surrounding AI and ML, spanning ethical, social, security, environmental, and governance domains. We conduct a thorough examination of current research and practices, identifying key gaps and limitations. Our findings inform a proposed framework for responsible AI and ML development, emphasizing the imperative of interdisciplinary collaboration among academia, industry, government, and civil society. This research underscores the necessity of developing and implementing effective solutions to address the challenges posed by AI and ML. We advocate for the establishment of ethical guidelines, social norms, and governance frameworks to ensure that these technologies yield equitable benefits for all segments of society. By providing a nuanced understanding of the complex interplay between AI, ML, and society, this study contributes to the ongoing discourse on responsible AI and ML development.
Author: Dnyaneshwari Shantanu Patil
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949738409
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