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AI Governance and Ethics Framework for Sustainable AI and Sustainability

2022/09/28 by Mahendra Samarawickrama, Samarawickrama, Mahendra
Computer Science · Social Sciences · #Blockchain Technology Applications and Security #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences

paper · pdf · doi:10.48550/arxiv.2210.08984

openalex publication_date 2022/09/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

AI is transforming the existing technology landscape at a rapid phase enabling data-informed decision making and autonomous decision making. Unlike any other technology, because of the decision-making ability of AI, ethics and governance became a key concern. There are many emerging AI risks for humanity, such as autonomous weapons, automation-spurred job loss, socio-economic inequality, bias caused by data and algorithms, privacy violations and deepfakes. Social diversity, equity and inclusion are considered key success factors of AI to mitigate risks, create values and drive social justice. Sustainability became a broad and complex topic entangled with AI. Many organizations (government, corporate, not-for-profits, charities and NGOs) have diversified strategies driving AI for business optimization and social-and-environmental justice. Partnerships and collaborations become important more than ever for equity and inclusion of diversified and distributed people, data and capabilities. Therefore, in our journey towards an AI-enabled sustainable future, we need to address AI ethics and governance as a priority. These AI ethics and governance should be underpinned by human ethics.

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