A panel of academic and government experts will discuss deception and trust in AI and Machine Learning as synthetic data becomes more and more pervasive. Methods to detect, mitigate, and reject fake information are crucial to the modern age, while trust and reliability are paramount as AI/ML software and tools are more accessible than ever before. The panel will touch on the use of synthetic data to guard against deception and counter-AI attempts, improve transparency and trust in model outputs, and also what role synthetic data plays in disinformation and data poisoning attempts. What can the community do to protect against unethical usage, and where does the responsibility fall?

 

This panel is part of the Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III conference.

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Event Details

FORMAT: Panel discussion followed by audience Q&A.
MENU: Coffee, decaf, and tea will be available outside the presentation room.
SETUP: Classroom and theater style seating.