The use of artificial intelligence (AI) in safety-critical systems has the potential to greatly improve safety and efficiency in industries such as transportation, healthcare, public safety, manufacturing, and telecom. For example, self-driving cars use AI to make real-time decisions and navigate the road safely, while in healthcare AI-powered diagnostic tools can assist doctors in identifying diseases and making treatment decisions. In manufacturing, AI-controlled robots can perform tasks with precision and speed, reducing the risk of human error, and in public safety, AI can be used to improve emergency response times and enhance crime prediction and prevention. Telecom networks play an important role in delivering connectivity to industries in a reliable fashion and AI is being used for optimizing network performance.
However, it is important to note that the use of AI in safety-critical systems also raises concerns about the reliability and safety of the technology, as well as ethical issues surrounding the use of autonomous systems. In this seminar, we will discuss the use of AI across several different industries, looking at the differences and the common denominators.
Elena Fersman, PhD, Head of Global AI Accelerator at Ericsson, Santa Clara, USA
Shiva Sander Tavallaey, PhD, AI-Lead at ABB Sweden, Västerås, Sweden
Emil Karlsson, PhD, Research Scientist in AI at SAAB, Linköping, Sweden
Tomas Ohlson, MSc, Founding Engineer and SVP Tech at Einride, Gothenburg, Sweden
Helena Börjesson, MSc, Chief Technology Officer at Mededa AG (HQ Zurich, Switzerland), Stockholm, Sweden
Caroline Jacobson, PhD, Head of System Management at Global AI Accelerator, Ericsson, Stockholm, Sweden