Results of the summarizing process for the arXiv paper: 2210.08984v1

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.