Trustworthy AI series: Robustness and performance of AI applications

The rapid rise of Artificial Intelligence has outpaced regulations and testing frameworks, raising critical concerns for industries where precision and reliability are non-negotiable—like healthcare, manufacturing, and business. How do we ensure AI systems are truly trustworthy, robust, and accurate?In this SGS Live Replay of Trustworthy AI: Current Areas of Research and Challenges, our expert panel dives deep into:- How to assess AI system performance and reliability- Current methods for evaluating accuracy in real-world applications- Emerging challenges in AI security, governance, and independent testing🎙 Meet the experts:🔹 Willy Fabritius – Global Head of Strategy & Business Development, Information Security, SGS🔹 Tomislav Nad – Lead Innovation Technologist, SGS, specializing in AI security & trust🔹 Sebastian Scher – Senior Researcher at Know-Center, expert in applied ML & explainable AIWhether you're an AI professional, business leader, or simply curious about the future of responsible AI, this episode is a must-listen!(00:00:20)- Introduction.(00:04:11)- What is fairness? (00:12:52)- How to measure fairness? (00:15:00)- What is the difference between performance and robustness? (00:23:24)- What impact does have bad performance or non robust systems? (00:26:13)- Are there any penalties associated with violations of the AI Act?(00:30:01)- Q&A - Audience(00:35:30)- Where do you see the biggest challenges in the field? (00:37:58)- Looking at the crystal ball:  what can you see happening in the near future (next year)? (00:40:05)- Q&A - AudienceAbout our “Trustworthy AI: current areas of research and challenges” series:The need for trustworthy Artificial Intelligence systems is recognized by many organizations, from governments, to industries and academia. As AI systems become more widely used by both organizations and individuals, it is important to establish trust in them. To establish this trust, numerous white papers, proposals and standards have been published and are still in development to educate organizations on the need for and uses of AI systems. Join us for our series as our experts discuss a variety of topics related to building trust and understanding of AI systems.