AI for ALL? Building on a global ecosystem to boost societal and economic potentials
Machine learning software is being deployed at a rapidly-increasing rate across a wide range of applications around the globe, from autonomous driving to lifelong learning in the workplace, assisting in diagnostics and healthcare, agriculture, social inclusion initiatives, and mitigating the effects of climate change. AI is a key topic in both public and private discussions, which focus on its enormous potential – and on the ethical concerns it creates. What are the best use cases, governance models and success stories to date? Beyond its commercial applications, how can we capitalize on the potential of machine learning, and later of AI, to solve some of the most pressing challenges facing humanity? Is the development of AI a new global arms race, or new source of global collaboration? What should the roles of government, private sector and academia be in an AI future? Are wein danger of mirroring the digital divide with an AI gap, and can social innovation keep up with the pace of technological breakthrough? How can AI’s success in meeting global socio-economic challenges be measured – and how can we best ensure it is trusted, safe, equitable and beneficial?
This session will draw on the highlights and outcomes of the third edition of ITU’s AI for Global Good Summit.
This session is part of the Smart ABC programme at ITU Telecom World 2019.
Open to Leader Pass, Executive Pass, Forum Pass, and Media Pass holders