Venue
Webinar

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Qwoted is a free expert network: we help reporters connect with experts & we help those same experts build relationships with top reporters.

Event Date Thu Apr 29 CEST (6 months ago)
In your timezone (EDT): Thu Apr 29 9:00am - Thu Apr 29 10:00am
Location Webinar
Region EMEA
Details

Artificial Intelligence (AI) systems have steadily grown in complexity, gaining predictivity often at the expense of interpretability, robustness and trustworthiness. Deep neural networks are a prime example of this development. While reaching “superhuman” performances in various complex tasks, these models are susceptible to errors when confronted with tiny (adversarial) variations of the input – variations which are either not noticeable or can be handled reliably by humans. This expert talk series will discuss these challenges of current AI technology and will present new research aiming at overcoming these limitations and developing AI systems which can be certified to be trustworthy and robust.

The expert talk series will cover the following topics:
• Measuring Neural Network Robustness
• Auditing AI Systems
• Adversarial Attacks and Defences
• Explainability & Trustworthiness
• Poisoning Attacks on AI
• Certified Robustness
• Model and Data Uncertainty
• AI Safety and Fairness

Speakers

2021 Speaker

Aleksander Madry
Professor of Computer Science, Massachusetts Institute Of Technology (MIT)