Fiddler’s 3rd Annual
Explainable AI Summit

October 21, 2020

The Explainable AI Summit brought together industry leaders, researchers, and Responsible AI experts to discuss the future of Explainable AI. Attendees learned about the top-of-mind issues that leaders face when implementing AI, and heard from those shaping the field on where things are headed. #XAISummit2020 has passed, but we’ll be sharing the content for you to view on-demand soon.

Special Screening

We closed out the Explainable AI Summit with a special screening of Shalini Kantayya’s Coded Bias, which premiered at the 2020 Sundance Film Festival.
The film explores the fallout of MIT Media Lab researcher Joy Buolamwini’s startling discovery that facial recognition does not see dark-skinned faces and women accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.

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Discussions on top-of-mind issues in AI Explainability and Responsible AI

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Explainable AI insights from top leaders, researchers, and Responsible AI experts

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Screening of Coded Bias & conversation with director Shalini Kantayya

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Agenda

All times in PT

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Welcome Remarks

9.00 - 9.15am


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

15 min


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Fireside chat with Karen Hao

9.15 - 9.40am


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

25 min


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Responsible AI: Considerations for Ethical and Accountable AI Deployment

9.45 - 10.30am


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.

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

45 min


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Break

10.30 - 10.40am


Using Captum and Fiddler to Improve AI Model Understanding with Explainable AI

10.40 - 11.10am


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.

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

30 min


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Explainable Monitoring for Successful Impact with AI Deployments

11.15am - 12.00pm


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

45 min


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Lunch break

12.00 - 12.15pm


Key Considerations on AI in Finance

12.15 - 1.00pm


As a highly regulated industry, rolling out AI within financial services is risky: organizations not only have to navigate a new technology, but the specific security and regulatory requirements that come with using AI on sensitive data. Our panelists will discuss the increasing use cases for AI within the financial services industry, with a lens on the unique regulatory and compliance considerations that must be considered, and the areas of opportunity as the field evolves.

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

45 min


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The Past, Present, and Future States of Explainable AI

1.00 - 1.45pm


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

45 min


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Fireside chat with Scott Belsky

1.50 - 2.20pm


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

30 min


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Break

2.20 - 2.30pm


Coded Bias screening and conversation with Director Shalini Kantayya

2.30 - 5.00pm


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

2.30 - 3.00pm - Opening remarks from Director Shalini Kantayya

3.00 - 4.30pm - Film Screening

4.30 - 5.00pm - Q&A with Kantayya

Speakers

Explainable AI

Carlos Araya

Product Manager, Facebook AI Applied Research

Michelle Allade

Head of Bank Model Risk Management, Alliance Data Card Services

Scott Belsky

Chief Product Officer, EVP - Creative Cloud, Adobe

Natalia Burina

AI Product Leader, Facebook

Kenny Daniel

Co-Founder and CTO, Algorithmia

Bill Franks

Chief Analytics Officer, International Institute for Analytics

Amirata Ghorbani

PhD Candidate in A.I., Stanford University

Abhishek Gupta

Head of Engineering, Hired, Inc.

Patrick Hall

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

Karen Hao

Senior AI Reporter, MIT Technology Review

Merve Hickok

AI Ethicist & Founder, AIethicist.org

Sara Hooker

Research Scholar, Google Brain

Jon Hill

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

Alexander Izydorczyk

Head of Data Science, Coatue Management

Manasi Joshi

Director of Software Engineering, Google

Narine Kokhlikyan

Research Scientist, Facebook

Lofred Madzou

Project Lead, Artificial Intelligence, World Economic Forum

Arnobio Morelix

CIO Startup Genome, and author, The Great Reboot book

Pradeep Natarajan

Principal Scientist, Amazon Alexa AI

Aalok Shanbhag

Senior Data Scientist, Fiddler

Peter Skomoroch

Machine Learning Advisor

Victor Storchan

Senior Machine Learning Engineer at JPMorgan Chase & Co.

Pavan Wadhwa

Managing Director, JPMorgan Chase & Co.

Moderators

Krishna Gade

Founder and CEO, Fiddler

Rob Harrell

Senior Product Manager, Fiddler

Amit Paka

Founder and CPO, Fiddler

Joshua Rubin

Lead Data Scientist, Fiddler

Anusha Sethuraman

Head of Marketing, Fiddler

Special Screening

Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that most facial-recognition software does not accurately identify darker-skinned faces and the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, artificial intelligence is not neutral, and women are leading the charge to ensure our civil rights are protected.

Coded Bias, a documentary film focusing on Buolamwini’s ground-breaking research, premiered at the 2020 Sundance Film Festival. We closed out the Explainable AI Summit with a special screening of the film, followed by a Q&A with the film’s director, Shalini Kantayya.

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