In groups, participants will share best practices and insight to address a series of challenges facing enterprises as they deploy and scale AI solutions. Attendees will take part in three out of five discussions, rotating every 20 minutes.
- Defining, building and leveraging trust
- Develop internally or buy third party?
- Ensuring robustness and building resilience
- Mitigating algorithmic bias
- Shining a light on explainability
- Establishing effective communication: top-down or bottom-up?
Jillian Powers
Shawn Rizvi
Shawn (CIPP, CDPSE) has over 10 years of experience in managing Data Risk across Regulatory, Privacy, Governance and Cybersecurity vectors. He started his career with IBM in 2012 and would go on to join Deloitte’s Canadian practice in 2015 and EY’s Canadian practice in 2018. In 2021 he would become the CPO at the Edtechn Unicorn – Applyboard where established and led the company’s first Privacy & Data Governance department, program and strategy. His strategic leadership was critical to Applyboard’s success in preventing major operational cost from rapidly evolving regulatory changes across its over 120 countries in which it operated in. He is now currently at Meta, where he works within the Integrity and Risk Launches organization and has successfully helped launch over 300 related AI and ML related projects. He has also helped drive EU Digital Service Act and Digital Markets Act preparedness across multiple Meta products.
Shawn has worked with market leaders across the globe to drive better business decisions based on enabling and scaling AI technologies through effective risk management and data governance techniques. This includes helping global brands navigate complex regulations and pioneering new frameworks that ensure cutting edge technology empowers society responsibly. He is also a subject matter expert on over 100 different regulations, framework and practices related to data risk. On his spare time, he provides mentorship to start up tech firms in Toronto and is passionate about helping start-ups succeed.
Aysha Machingara
Suhas Manangi
Suhas Manangi is the product head of the AI/ML Defense Platform team at Airbnb, where he leads work on accelerating the use of AI and machine learning in fighting fraud and abuse to ensure trust and safety on the online marketplace. Before joining Airbnb, he spent many years working with trust and safety teams at Amazon, Lyft, and Microsoft. Manangi is also active in the product management community, helping product managers transition to using AI/machine learning in their products.
Jie Chen
Kiran Yalavarthy
