AI Infrastructure and Its Societal Impact: Building Ethical and Sustainable Systems
Year: 2025
Type: article
Abstract: This article examines the critical aspects of ethical AI infrastructure development and deployment across various industries. It explores the foundational elements of responsible AI systems, including data privacy, security measures, and fairness considerations in AI implementation. The article investigates the environmental impact and sustainability challenges of AI infrastructure, highlighting the importance of resource optimization and environmental consciousness in AI deployment. The article also addresses the crucial aspects of transparency and accountability in AI systems, examining both explainable AI practices and governance frameworks. Furthermore, it analyzes ethical AI infrastructure's practical applications and impacts across financial services, healthcare, and retail sectors. It demonstrates the transformative potential of responsible AI adoption while emphasizing the challenges and opportunities in different industrial contexts.
Author: Shivakrishna Bade -
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408926517