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DataRobot
Mitigating Fraud, Waste and Abuse with Responsible AI
Event Date: October 27, 2022
Hosted By: DataRobot & 探花视频
Hosted By: DataRobot & 探花视频
DataRobot's Vice President of Data Science, Public Sector, Chandler McCann and KUNGFU.AI's Chief Scientist, Dr. Steve Kramer walked through how to mitigate fraud, waste, and abuse using artificial intelligence.
Procurement misuse, abuse, and inefficiency continued 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 had led to new challenges around compliance, misuse, and fraud risk. In fact, 93% of government officials believed fraud, waste, and abuse rates would be maintained or increase in 2022.
During this webinar, attendees will learned 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
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