Are You Worthy of My Trust?: A Socioethical Perspective on the Impacts of Trustworthy AI Systems on the Environment and Human Society

AI trustworthiness requires examining environmental costs: The paper emphasizes that truly trustworthy AI systems must account for their energy consumption and carbon footprint throughout their lifecycle, not just their algorithmic performance—a critical consideration often overlooked in AI development.

Multi-disciplinary governance is essential: The authors argue that responsible AI cannot be achieved through computer science alone; it requires integrated perspectives from sociology, environmental science, and other fields to identify interconnected risks and societal impacts that single-discipline approaches would miss.

AI systems create trade-offs in human well-being: The paper highlights that AI systems cannot simultaneously satisfy all aspects of societal well-being, meaning developers and policymakers must make explicit choices about whose interests are prioritized and accept that some benefits come with unavoidable costs.

Socioethical impact assessment should be mandatory: Rather than focusing solely on technical trustworthiness metrics, the authors advocate for comprehensive socioethical assessments that explicitly evaluate harmful effects on society and the environment before and during AI deployment.

Current AI development lacks adequate safeguards: The paper suggests that the risks of AI systems remain largely unknown and inadequately addressed, indicating that existing governance structures are insufficient to ensure these systems truly serve humanity's interests.