For Fiddler's 4th Annual Explainable AI Summit

Krishna Gade, Founder and CEO, Fiddler
Amit Paka, Founder and CPO, Fiddler

On the current state of AI and democratizing its use

Karen Hao, Senior AI Reporter, MIT Technology Review 
In conversation with:
Anusha Sethuraman Head of Marketing, Fiddler

AI is increasingly being applied to business-critical use cases across industries - as AI goes from a technology on the fringe to mainstream, the importance of deploying AI responsibly has reached a crescendo. As businesses, consumers, and regulators are calling for more transparency and accountability in AI solutions, our panelists will discuss how to provide more trustworthy, transparent, responsible AI at every stage of the AI lifecycle.
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Arnobio Morelix Research & Data Science Leader

Manasi Joshi, Director of Software Engineering, Google

Merve Hickok, AI Ethicist & Founder, AIethicist.org

Bill Franks, Chief Analytics Officer, International Institute for Analytics

Lofred Madzou, Project Lead, Artificial Intelligence, World Economic Forum

Moderated by Anusha Sethuraman, Head of Marketing, Fiddler

Captum, Facebook AI’s open source model interpretability library for PyTorch, is now interoperable with Fiddler’s Explainable AI platform. Our panel of experts from Captum and Fiddler discuss how this partnership is pushing the boundaries of Explainable AI to help the data science community improve model understanding and its applications, as well as to promote the usage of Explainable AI in the ML workflow.
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Carlos Araya, Product Manager, Facebook AI Applied Research

Narine Kokhlikyan, Research Scientist, Facebook

Aalok Shanbhag, Data Scientist II, Fiddler

Moderated by Joshua Rubin Data Science Tech Lead, Fiddler

Training and deploying ML models is relatively fast and cheap, but maintaining, monitoring and governing them over time is difficult and expensive. An Explainable ML Monitoring system extends traditional monitoring to provide deep model insights with actionable steps. Our panelists discuss ways to increase transparency and actionability across the entire AI lifecycle using explainable monitoring, allowing for  better understanding of problem drivers, root cause issues, and model analysis through AI deployment.

Peter Skomoroch, Machine Learning Advisor

Abhishek Gupta, Head of Engineering, Hired, Inc. 

Natalia Burina, AI Product Leader, Facebook

Kenny Daniel, Co-Founder and CTO, Algorithmia

Moderated by Rob Harrell, Senior Product Manager, Fiddler

Patrick Hall, Principal Scientist, bnh.ai and Advisor to H2O.ai

Jon Hill, Professor of Model Risk Management, NYU Tandon, School of Financial Risk Engineering

Michelle Allade, Head of Bank Model Risk Management, Alliance Data Card Services

Alexander Izydorczyk, Head of Data Science, Coatue Management

Pavan Wadhwa, Managing Director, JPMorgan Chase & Co.

Moderated by Krishna Gade, Founder and CEO, Fiddler

Explainability is the most effective way to ensure AI solutions are transparent, accountable, responsible, fair, and ethical across use cases and industries. When you know why your models are doing something, you have the power to make them better while also sharing this knowledge to empower your entire organization. In this panel discussion, industry and research experts will shed light on the state of Explainable AI today, and key considerations to ensure success moving forward.

Sara Hooker, Research Scholar, Google Brain

Amirata Ghorbani, PhD Candidate in A.I., Stanford University 

Victor Storchan, Senior Machine Learning Engineer at JPMorgan Chase & Co.

Pradeep Natarajan, Principal Scientist, Amazon Alexa AI

Moderated by Amit Paka, Founder and CPO, Fiddler

On AI’s role in the creative world, its opportunities for enhancing the creative process, and how leveraging AI responsibly has the potential for unleashing the full potential of the creative mind

Scott Belsky, Chief Product Officer, EVP - Creative Cloud, Adobe

In conversation with Krishna Gade, CEO, Fiddler

Coded Bias, a documentary film focusing on the ground-breaking research by MIT’s Joy Buolamwini into facial recognition technology’s troubling racial bias, premiered at the Sundance Film Festival in February. To close out the Explainable AI Summit, Fiddler is hosting a special screening of the film, followed by a Q&A with the film’s director, Shalini Kantayya. 

Shalini Kantayya, Director, Coded Bias