Panel Discussion on Regulation and the Imperative for Reproducibility and Standardization in AI/ML

Join us for a thought-provoking and insightful virtual gathering as we delve into questions surrounding the Regulation of AI/ML and the need for Reproducibility and Standardization of processes in light of those regulations. Our panelists hail from the worlds of Finance and Banking, Drug Discovery, and Academia, areas at the forefront of navigating the regulation of AI/ML. They will share their perspectives on these issues through the lens of their experience in their industries.

📅 *Date & Time: [March 13, 2024 8:00 am PDT]*

🗣️ Panelists:

1. Alex Hasha - Financial Industry
Bringing a wealth of experience from the financial sector, including 8 years at Capital One, Alex will shed light on the unique challenges and opportunities AI/ML poses in the financial landscape. Learn about the regulatory landscape and the quest for reproducibility in financial AI/ML.
2. Estefania Barreto-Ojeda - Drug Discovery Industry
Discover the impact of AI/ML in drug discovery and the crucial role of standardization in ensuring reproducibility. Estefania will share her work in the biotechnology domain, providing insights into navigating regulatory hurdles by setting up standards for reproducibility while harnessing the potential of advanced technologies.
3. Charles Vardeman - Academia
Explore the academic perspective on AI/ML regulation and the importance of reproducibility in research. Charles will discuss the collaborative efforts between academia and industry in shaping ethical practices, standards, and compliance.

Moderator: Jeny De Figueiredo, Community Manager, DVC

🔗 Links from the Discussion

Federal Reserve Regulatory Guidance on Model Risk Management: https://www.federalreserve.gov/superv...
Reach out to Alex at his website: https://hashadatascience.com/about/