Abstract
The rapid emergence of generative AI has sparked lively debate on its potential impacts. Hosted by Dr Pranava Madhyastha, Senior Lecturer in Computer Science at City, University of London, this panel brings together university alumni and experts to discuss key questions surrounding this technology.
What opportunities and risks does generative AI present for society? How might it transform industries and professions? What policy concerns does it raise regarding content moderation, copyright, and misinformation? From an ethics perspective, how can generative models be developed responsibly? As early adopters, what lessons can alumni share from hands-on experience with generative AI?
With backgrounds spanning computer science, our panelists will offer diverse perspectives on managing the opportunities and challenges of this technology. By exploring generative AI through an alumni lens, we hope to further thoughtful discussion on its emerging impacts.
Join us for an evening of interesting perspectives and stimulating discussion in the company of our experienced and insightful panel, alumni, students and staff, at which we explore the opportunities and debate the key challenges and risks related to the application of Generative AI such as ChatGPT.
Beverages and snacks will be served throughout the networking reception. You are welcome to bring a guest, but please add their name at the registration.
Programme
17:30 - 18:30 Registration, networking and welcome drinks
18:30 - 19:10 Panel discussion “Challenges and Opportunities of Large Language Models (ChatGPT)‘’ Chaired by Dr Pranava Madhyastha
- Dr Catherine Menon (MA Creative Writing, 2018) - University of Hertfordshire, Principal Lecturer in the Adaptive Systems Research Group
- Mike Hudson (BSc Systems and Management, 1987) - Mike Hudson Foundation, Founder
- Mitul Vadgama (BSc Business Computing Systems, 2009) - Lloyds Banking Group, Senior Data and Analytics Strategy Manager
- Dr Simon Hayley - Bayes Business School, Senior Lecturer in Finance; Associate Dean for Learning Innovation and Development, and co-chair of the City University Working Group on Generative AI
19:10 - 19:30 Q&A
19:30 - 20:00 Further networking over food and drinks
About the speakers
Catherine Menon
Catherine Menon (MA Creative Writing, 2018) - University of Hertfordshire, Principal Lecturer in the Adaptive Systems Research Group
Dr Catherine Menon is a Principal Lecturer in the Adaptive Systems Research Group, University of Hertfordshire and holds a PhD in category theory.
She has worked internationally across academia and industry sectors including defence, nuclear, medical devices and robotics.
Her primary area of research addresses the use of software in autonomous systems, with a focus on the interaction between ethics, safety and regulatory compliance for these systems.
Catherine graduated from the Creative Writing MA at City University in 2018, and her debut novel, Fragile Monsters, was published by Penguin in 2021.
Mike Hudson
Mike Hudson (BSc Systems and Management, 1987) - Mike Hudson Foundation, Founder
Mike is a tech and social entrepreneur. He runs the Mike Hudson Foundation, a charitable fund helping research-lead nonprofits to use AI by providing money, advice and resources. Mike is particularly focussed on conservation and biodiversity causes and is an advisor to ZSL.
Recently Mike has been piloting Researchify, a programme to help AI postgraduate volunteers work on short-term AI/ML projects within science-focussed nonprofits.
Mike’s commercial background is in technology & electronic markets. He has built several marketplace FinTech companies, and sold them to leading international stock exchanges.
During the pandemic, Mike founded TestRAMP, a nonprofit social market for laboratories described as a "major contribution to PCR testing” and donated its profits for charity.
A graduate of City University in Systems and Management, he lives and works mainly in London.
Mitul Vadgama
Mitul Vadgama (BSc Business Computing Systems, 2009) - Lloyds Banking Group, Senior Data and Analytics Strategy Manager
Mitul graduated from City in 2009 and since gained a wealth of experience from leading successful projects in data, technology, people, and business practices to a range of companies globally from large organisations to start-ups and tech companies.
Simon Hayley
Dr Simon Hayley - Bayes Business School, Senior Lecturer in Finance, Associate Dean for Learning Innovation and Development, and co-chair of the City University Working Group on Generative AI
Simon Hayley is a Senior Lecturer in Finance at Bayes Business School, Associate Dean for Learning Innovation and Development, and co-chair of the City University Working Group on Generative AI. Simon joined Bayes Business School (formerly Cass) following a career covering policy analysis for government and market analysis for a range of city institutions.
His research at Bayes Business School has concentrated on investor behaviour and the misconceptions that sometimes drive it. This research has been published in leading global journals including the Journal of Financial and Quantitative Analysis.
In his previous career, Dr Hayley was global market analyst at Capital Economics; senior research associate at Pareto Partners, where he conceived and researched improvements in dynamic currency overlay strategy; and a currency strategist, generating applied market strategies in FX spot and options markets. In these roles his views were widely quoted and he made many TV and radio appearances. Dr Hayley previously worked as an economic forecaster at the Reserve Bank of New Zealand and as an economic adviser at HM Treasury, covering a variety of areas including macroeconomic modelling and forecasting, evaluating microeconomic policy effectiveness, market analysis and UK policy towards EMU.
This event is subject to our alumni events terms and conditions. Our alumni and supporters are very important to us and we value our relationship with you. How we collect and store your data and protect your privacy.
Attendance at City events is subject to our terms and conditions.