ADAPT Radio’s HumanAIse continues this month on the exciting benefits of AI in Finance with Dr. Cal Muckley and Dr. Robert Ross.
HumanAIse, is an ADAPT podcast that provides an in-depth look at the future of AI, automation, and the implications of entrusting machines with our most sensitive information and decisions. This series will feature conversations with a range of ADAPT experts who explore the future of AI and human input.
From crypto-currencies to challenger banks, mortgage lending to managing risk, AI has profoundly changed finance and how we interact with money. It can make certain types of financial transactions easier but can leave people wondering how best to utilise AI in a way that benefits their own businesses and personal finances. Dr. Cal Muckley, Professor of Operational Risk in Banking and Finance at the UCD College of Business, and Dr. Robert Ross, a Senior Lecturer in the School of Computer Science in TU Dublin and a Funded Investigator within ADAPT, join the discussion in this month’s podcast.
Dr. Ross leads the podcast with an insight into his own interests in this area such as how conversational technology is interacting with business and finance in the long term. Dr. Muckley provides his own insight into the positive aspects of Fintech such as reducing inequalities as Fintech becomes central in terms of democratizing the availability of credit among vulnerable customer cohorts. Dr. Muckley also discusses the importance of features within machine learning models. In particular, he introduces the notion of Shapley values which are a technical measurement of the importance of a feature in any model, whether it be a blackbox or a transparent model. Its work in the space of explicit explanatory AI can give the regulator tools which then obliges the institutions to provide explanations of decisions to their customers. Dr. Muckley also expounds on an ADAPT project with Fidelity Investments on how machine learning can reduce the workload on personnel and provide increasingly accurate predictions for investment funds. He describes how they developed new models for detecting elder financial abuse quickly courtesy of our machine learning model.
According to Dr. Ross, the biggest challenge currently across multiple projects, including FinTech, is issues of data quality and data amalgamation. Many organisations are living in environments where their data is distributed and they don’t have a good overview of what is going on in their different units and how different definitions of data relate. For further insight into how AI can have a transformative effect on lending decisions, catch HumanAIse on SoundCloud, iTunes, Spotify, and Google Podcasts.
ADAPT Radio: HumanAIse is ADAPT’s newest podcast series providing an in-depth look at the future of AI, automation and the implications of entrusting machines with our most sensitive information and decisions.
