Mitigating Fraud, Waste and Abuse with Responsible AI
This event qualifies for 1 CPEs
Procurement misuse, abuse, and inefficiency continues to be a challenge for state governments, driven by large transaction volumes and pressure to reduce costs. Purchase cards, an increasingly common pronouncement method, provide financial incentives such as rebates and reduce manual processes for staff; however, increased usage has led to new challenges around compliance, misuse, and fraud risk. In fact, 93% of government officials believed fraud, waste, and abuse rates will be maintained or increase in 2021.
During this webinar, attendees will learn about:
- How fraud, waste, and abuse in both the public and private sectors can be addressed by using data science and machine learning
- How to incorporate Responsible AI practices such as fairness metrics and bias mitigation in real-world healthcare use cases
- How federated learning can be used to protect sensitive personal data while still enabling successful machine learning healthcare models to be trained
Speaker and Presenter Information
Dr. Steve Kramer, Chief Scientist, KUNGFU.AI
Chandler McCann, VP, Data Science, Public Sector, DataRobot
Relevant Government Agencies
Dept of Health & Human Services, Other Federal Agencies, Federal Government, State & Local Government
Event Type
Webcast
This event has no exhibitor/sponsor opportunities
When
Thu, Sep 22, 2022, 2:00pm - 3:00pm
ET
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Event Sponsors
Organizer
DataRobot Government Team at Carahsoft