EVENT PHOTOS

Kickoff

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Gold Mine Stuff

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Catch Me If You Can

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

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

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Chris Schilstra explains how Natural Language Processing and Machine Learning 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)

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

Updates

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

How Humans Make AI Work

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Ian Lowrie and Stephanie Warren provide practical guidance for UX professionals working with artificially intelligent systems like chatbots. 

Giveaways

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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 

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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

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

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Attendees have fun with AI with by playing a game with Akinator during the intermission.

Federated Learning to Collect Mobile Patient-Reported Outcomes

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

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The Artificial Intelligence-inspired playlist provides entertainment during breaks.

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

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

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