AI Governance and Ethics Framework for Sustainable AI and Sustainability

TL;DR

This paper discusses the importance of AI ethics and governance in promoting sustainable AI development, emphasizing social justice, diversity, and collaboration to mitigate risks and ensure responsible AI use.

Contribution

It introduces a comprehensive AI governance and ethics framework focused on sustainability, social justice, and human-centered principles for responsible AI deployment.

Findings

Highlighting AI risks like bias, privacy violations, and job loss

Emphasizing social diversity and inclusion as key to mitigating risks

Advocating for partnerships and collaborations in AI governance

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.