Socio-Technical Perspectives on AI Governance Addressing Ethics Fairness and Sustainable Machine Learning Practices
摘要
The artificial intelligence (AI) is changing the society and provoking deep questions associated with the ethics, fairness, accountability, and the sustainability. The socio-technical topic of the given paper is the usage of AI governance to ethical use, biasing and ethical machine learning practice. Data was collected using a combination of mixed methods that consisted of surveys (n = 153), interviews (n = 52), and case studies (AI practitioners, policymakers and NGOs). The results show that design, control mechanism, and anticipation of technologies is a viable AI governance. The study has practical suggestions that will guide policy makers and organizations to develop responsible, fairly, and sustainable AI systems.