Trust and Safety in Artificial Intelligence - Solving Challenges in Mobility
This year, the summer school will turn the spot onto the topic of trust and safety in artificial intelligence, a broad field of discussion and growing relevance at the crossroads of technology, psachology, product safety, law, economics, and ethics. We will look into it with a special emphasis on challenges and opportunities for applications of AI in mobility.
What is trust? What creates and influences trust in a system? How must a technical system or product be designed to be trustworthy? What contribution do we require from trustworthy semiconductors and AI accelerators? Will AI contiue to drive growth for semicondcutor designers and fabs? How do we extend concepts of product quality and safety when introducing machine learning algorithms? What is SafeAI after all and how do we verify and validate reliable performance of neural networks? How can we prove algorithmic behaviour in safety-critical systems? What measures need to be taken in coporate processes to ensure trust and safety in AI-powered approaches? What challenes ne to be expected in governance and oversight? How are next generation mobile communications and new space technologies and business models benefitting from and relying on AI?
Join us for a week of technical deep dives and multi-disciplinary debate.
