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AI in finance offers pros like enhanced efficiency, fraud detection, and personalised services, but faces cons such as data privacy risks, potential for bias, and ethical/regulatory challenges. Key benefits include faster data analysis, better risk management, and cost reduction through automation. Conversely, drawbacks include security vulnerabilities, the risk of algorithmic bias, the need for significant investment, and the potential for systemic instability.
Day and Time: 22 October, 11 am to 1 pm
The Venue: Michael Crouch Innovation Centre, UNSW
More information about this forum, including the names of the speakers, will be provided in due course.