Data has become a resource, a commodity to be traded and harnessed, leading to the emergence of artificial intelligence (AI) as a tool that is omnipresent from simple text generation to highly complex analytical tasks. But what is it exactly that AI does for us? How do we make sure it works for all of us, overcomes biases and is used ethically?
These and other questions around some of the underlying assumptions about the scope, potential and limitations of AI for individuals, organisations and wider society will be explored by this symposium panel. Panel members will provide insights that go beyond the headlines and offers a forward-looking perspective in this often technical and euphoric debate about what is possible.
“With the Bank of England warning of a potential AI bubble to burst, Queen Margaret University is keen to shine a light beyond the hype and open up the conversation across a range of diverse stakeholder views. We hope this will be helpful to look beyond the possible and explore how AI can be opened up for those that feel disenfranchised or sceptical but also consider what reassurances and governance principles we might need. AI will only become a mainstream tool if we can provide a positive and inclusive, forward-looking perspective on living and doing business with AI.”
This event promises to provide enlightening and helpful perspectives on what AI already does, could and maybe should not do for us from a diverse range of panel members from across Scotland. Thomas Peschken-Holt will lead the panel discussion with contributions from Mark Wilkinson, Chief Growth Officer at The Data Lab, Susanne Beurskens, Senior Manager, Revenue Management from Mariott Hotels and Professor of Business Analytics at QMU, Stefania Paladini.
‘Beyond the Algorithm – Living and Doing Business with AI’ is particularly relevant to business leaders, human resource and IT professionals, academics, students, and anyone interested in the role of AI in contemporary organisations.
Open to the public, this free symposium will take place at Queen Margaret University on Tuesday 28 October (room 2156). Registration - 4:45pm, with main event running from 5pm to 6pm.
