EVENT PHOTOS

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 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 emphasizes the importance of Machine Teaching, and discusses how we can use Artificial Intelligence AI to help us identify and prevent one of the biggest costs for Insurance, Finance, and Healthcare industries: Fraud, Waste, and Abuse.

Updates

Live Slack post provides a reminder on what's coming up next.

How Humans Make AI Work

Ian Lowrie and Stephanie Warren 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 

Panelists discuss 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.

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 with by playing a an online game with , Akinator, during the intermission.

Federated Learning to Collect Mobile Patient-Reported Outcomes

Dr. Rachele Hendricks-Sturrup and Dr. Sara Jordan discuss the challenges of ensuring patient privacy in federated learning architectures.

The Artificial Intelligence-inspired playlist provides entertainment during breaks.

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

Edward F. O'Connor walks attendees through the process of combining Human-Centered Design techniques into Machine Learning ML projects.

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