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Generative AI (GenAI) has taken the world by storm, and academia is no exception. Educators are rightfully concerned about various issues—from academic misconduct to biased outputs. Yet, these technologies also present tremendous opportunities to reimagine education for the better. In his keynote, Oguz Acar draws on the latest academic research and innovative pedagogical strategies, coupled with practical examples, to explore how GenAI can be thoughtfully used to reimagine learning, assessment, and teaching. He presents a vision of approaching GenAI not as a reactionary measure, but as a powerful tool to create more equitable, empowering, and engaging educational experiences.
Speaker
Professor Oguz A. Acar is a Professor of Marketing & Innovation at King's Business School, King's College London. He is also a Research Affiliate at Harvard University and an Expert at the World Economic Forum. In 2021, he was named a World's Top 40 Business School Professors Under 40. Oguz's current research is at the nexus of generative AI, organizations, and education. His work is regularly published in leading academic journals across different disciplines and extensively covered in global media.
This event is in-person only. Please register on Eventbrite. Registration will close at 9am on Wednesday 22 May.
This event is part of the King's Festival of Artificial Intelligence, running from Tuesday 21 to Saturday 25 May 2024.
If you’re interested in this event, you may also want to join us for:
- AI in Higher Education: Tales from the coalface
- Personalising Dentistry education with AI-generated digital dental patients
Festival event times may be subject to change. Any changes will be communicated to registrants via Eventbrite emails.
Please note, King's events are free, which means we routinely overbook to allow for no-shows and avoid empty seats. Admission is on a first come, first served basis, so please arrive in good time to avoid disappointment. We will not be able to admit those without tickets or latecomers.
Event details
Strand Campus
Strand, London, WC2R 2LS