Responsible GenAI and Governance

Join our panel on responsible AI in finance, addressing its integration into core operations and risk management. Leaders from regulatory bodies and industry discuss frameworks and best practices.

Presented by: Rotman School of Management
Lectures & Workshops
Alumni Networks
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Event Synopsis:

What is responsibility in the GenAI era, as financial products and experiences transform?

Join our panel discussion on responsible AI and governance in the financial sector. Traditional AI is embedded in customer experiences and core businesses activities including complex models for fraud and credit risk management. As the industry energized by the promise of generative AI to transform their businesses in unprecedented ways, it’s critical to understand how it is navigating risk mitigation for regulated institutions, customers and other stakeholders. Organizations need guardrails, as GenAI rapidly evolves, to manage these risks and ensure security and compliance within the complex environments in which they operate. Why does this matter? What is the industry doing to integrate GenAI into their responsibilities and risk mitigation into established processes. Gain insights into best practices for fostering responsible AI adoption and developing ethical standards.

This event features leaders from the Ontario Securities Commission, TD, Canada Life and Microsoft exploring these questions, emerging frameworks and delves into how the sector is addressing fairness, transparency, safety, accountability, privacy and inclusiveness.

About our Speakers:

Baiju Devani has led data science, product, and engineering teams to bring data-driven decision-making to a range of industries from capital markets to insurance. He is a seasoned executive and entrepreneur with over two decades of experience working with startups, scaleups and large enterprises. As head of Machine Learning and Advanced Analytics at TD Group, Baiju is responsible for the at-scale development and deployment of machine learning algorithms across multiple lines of businesses.

Before TD, as SVP of Data Science at Aviva, Baiju built a 120+ strong team of actuaries, product managers, data scientists and engineers and led Aviva's $100M+ digital and data transformation which resulted in over 160 AI/ML models in production with real-time deployment capabilities. This created end-to-end enterprise value by optimizing customer acquisition costs, product pricing and efficient claims adjudication in a $5B+ business. Baiju was also at OANDA, a FinTech startup that disrupted the retail foreign exchange market where he led data science and business growth and was part of a team that scaled the organization from a startup to a 400+ employee global business. Baiju is a computer scientist by training and completed his undergraduate and graduate degrees at Queen's University.

Levin Karg is Manager for Modernizing Regulation at the Ontario Securities Commission (OSC). He is a lawyer by training that worked for both international law firms and in consulting. At the OSC, Levin is spearheading efforts to innovate and improve regulation in Ontario’s capital markets, including the OSC’s approach to Artificial Intelligence.

James Ki is Vice President – Data & Analytics and champions Canada Life’s Data, Artificial Intelligence and Information capabilities to transform the organization into a more data/information-centric company that is fully connected, operationally efficient, and capable of generating rich data and insights to build a competitive advantage that enhances our focus on the customer.

In this role, James has built and evolved Canada Life's Data and AI technology platforms to help accelerate and achieve value realization and reusability, established and runs the Data and AI enablement and adoption capabilities, and structured the Data and AI Governance functions as an enabler while balancing the safeguarding of information and the organization.

Prior to joining Canada Life, James held other Senior Data and Architecture roles in other organizations and was a Partner within EY’s Technology Advisory Practice advising clients in the areas of Business and IT-enabled transformations, IT strategy, and large Program Delivery with a focus within the Financial Services industry.

About our Moderator:

Mona Kothari-Chitalia is an Industry Advisor in Microsoft’s Worldwide FSI team, where her mandate is to help the firm’s largest insurance and wealth management clients on innovation and strategic partnerships. Her career includes global experience in leading high-profile business transformation, from concept to adoption, as a strategy management consultant in the financial services industry and within the technology industry.

Mona’s education includes a BCom (Finance) from Rotman School of Management, an MBA from Ivey Business School and a Postgraduate Diploma in Innovation and Design Thinking, from the Emeritus Institute of Management. She is an Advisor with Rotman’s MBA Flexible Internship Program.

Event Logistics:

This event is available to attend in-person.

Rotman Events is committed to accessibility for all people. If you have any access needs or if there are any ways we can support your full participation in this session, please email [events@rotman.utoronto.ca] no later than 2 weeks in advance of the event and we will be glad to work with you to make the appropriate arrangements.

General Admission: In-Person Ticket Details

Cancellation & Refund Policy

  • Refunds will only be issued for cancellations received in writing NO LATER than 24 hours prior to the event. Please email events@rotman.utoronto.ca for processing.

Questions: events@rotman.utoronto.ca, Mandi Gosling


Have questions about this event?

Contact Rotman Events at events@rotman.utoronto.ca

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