Organisations are increasingly deploying or thinking of developing AI models that will be interacting with their employees and customers. Often, too little considerations have been given to the specific risks involved in using AI, resulting in undesirable outcomes. Data privacy, bias in data and algorithm, and the lack of transparency in models are common challenges that an AI ethics framework can help mitigate. In this presentation, we will first define what is AI and dispel some myths. We will also discuss real life use cases and how proper AI governance can help identify and mitigate risk early and favor adoption through trust.
Ms Marie-Claude Ferland
EY APAC Consulting | Associate Partner | AI Strategy Lead
Marie-Claude is the AI Strategy leader for EY in APAC. She has more than 15 years of experience related to AI, modelling, financial engineering, risk management and transformation. She advises global companies on their transformation to help leverage data with advanced technologies such as analytics and artificial intelligence to increase data-driven decision making in the financial, government and resource sectors. She also helped organisation implement AI governance, including identifying and mitigating risks specific to AI solutions.
Before joining EY, she was leading the APAC solution team at Element AI, a prominent AI startup. There she helped organization define their AI strategy, put in place AI governance framework and controls, as well as implement different AI solutions. Before that, she also worked at Rio Tinto, Deloitte and Barclays Capital in different roles related to market risks, data analytics and AI strategy. Marie-Claude holds a bachelor in Electrical Engineering from Polytechnique de Montreal and a master in Financial Engineering from HEC. She is also a CFA member.