Powered by MUNSC Salient.
The looming spectre of Artificial Intelligence (A.I.) seems to be omnipresent, with only a few professions still unaffected by the practices and solutions introduced by machine learning and other related technologies. While some hail the advent of machines, others remain sceptical, warning that at least in the short term, large-scale automation may not avoid having a negative impact on the job market and the nature of work as we know them today.
One way to offset some of the disruptive tendencies seemingly inherent in A.I.-related technologies is to explore how humans and algorithms can work side by side and complement each other. However, for such deliberations to retain their practical merit, they need to be grounded in at least a basic understanding of how A.I. may be applied in particular fields, sectors and contexts, each of which is determined by its own idiosyncrasies, while still keeping sight of the wider socio-economic perspective. To this end, the panel brings together leading experts from academia, technology, business, NGOs and policy-making, and challenges them to engage in a productive exchange that will delineate the potential as well as the limits of human-machine co-operation.