Kickoff

Adam Heller and Roni Garland (CMS) welcome attendees and speak to the significance of Human-Centered Artificial Intelligence (AI) for ISG 

and CCSQ. 

A Gold Mining Adventure – Using Natural Language Processing and Machine Learning to find Gold in Unstructured Data 

Chris Schilstra, Innovation Program Manager at Tantus Technologies, explains how Natural Language Processing and Machine Learning (ML) can

help minimize text interpretation bias.   

Catch Me if You Can – How to Fight Fraud, Waste and Abuse using Machine Learning AND Machine TEACHING (by human)

Cupid Chan, Chairperson BI & AI, Board of Directors, and Technical Steering Committee at Linux Foundation ODPi, emphasizes the importance of

Machine Teaching, and discusses how we can use AI to help us identify and prevent one of the biggest costs for Insurance, Finance, and Healthcare

industries: Fraud, Waste, and Abuse.

World Usability Day 2020 Playlist

The AI-inspired playlist provides entertainment during breaks.

How Humans Make AI Work

Ian Lowrie, Lead User Experience Researcher at Ad Hoc LLC and Hospital Quality Reporting, and Stephanie Warren, UX Content Strategist at

Bellese Technologies and Hospital Quality Reporting, provide practical guidance for UX professionals working with artificially intelligent systems

like chatbots.

Giveaways

The wheel of names is spun and the winner of a Custom Zoom Virtual Background is announced.

Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals 

Keith McFarland, SVP and Chief Innovations Officer at eSimpilcity LLC, moderates a panel discussion on the inherent data/feature engineering

challenges with Medicaid and Medicare data, and the necessity of human involvement and participation with ML to ensure trustworthiness,

reliability, and safety. Panelists include Bin Shao, Ph.D., Lead AI Scientist and Architect at eSimplicity, Steve Geller, VP Digital Services at eSimplicity,

Combiz Abdolrahimi, Senior Advisor at U.S. Federal Identity Forum (FedID), Darryl Marshall, Director of Consulting at eSimplicity, and Harlan

Krumholz, MD, SM, Director of the Yale New Haven Hospital Center for Outcomes Research and Evaluation, and the Harold H. Hines, Jr. Professor

of Medicine at Yale University. 

Intermission Activities

Attendees learn more about HCD by watching Satisfy the Cat, have fun with AI with Akinator, and participate in virtual networking during the

intermission.

Attendees have fun with AI by playing an online game, Akinator, during the intermission.

Federated Learning to Collect Mobile Patient-Reported Outcomes

Dr. Rachele Hendricks-Sturrup, Health Policy Counsel at The Future of Privacy Forum, and Dr. Sara Jordan, Policy Counsel, Artificial Intelligence at

The Future of Privacy Forum, discuss the challenges of ensuring patient privacy in federated learning architectures.

Updates

Live Slack post and a countdown timer provide reminders on what's coming up next.

Using Human-Centered Machine-Learning (HCML) to Improve Data Quality & Data Governance Projects

Edward F. O'Connor, Director – Solutions Architecture, Health Division at ManTech, walks attendees through the process of combining

Human-Centered Design techniques into ML projects.

Wrapping Things Up 

Stephanie Ray (CMS) closes out the day by thanking the speakers and attendees.