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New workshop series “Trustworthy AI”

New workshop series “Trustworthy AI”

The AI for Good global summit is an all year digital event, featuring a weekly program of keynotes, workshops, interviews or Q&As. BIFOLD Fellow Dr. Wojciech Samek, head of department of Artificial Intelligence at Fraunhofer Heinrich Hertz Institute (HHI), is implementing a new online workshop series “Trustworthy AI” for this platform.

The AI for Good series is the leading action-oriented, global and inclusive United Nations platform on Artificial Intelligence (AI). The Summit is organized all year, always online, in Geneva by the International Telecommunication Union (ITU) – the United Nations specialized agency for information and communication technologies. The goal of the AI for Good series is to identify practical applications of AI and scale those solutions for global impact.

“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”

Dr. Wojciech Samek

The workshop 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 workshop 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

The first workshop is held by Nicholas Carlini, Research Scientist at Google AI, 25. March 2021, 5:00 pm CET: Trustworthy AI: Adversarially (non-)Robust Machine Learning.

Register here: https://itu.zoom.us/webinar/register/WN_md37GUoSTdiQTq92ZNVvDw