Talk Title: XAI in Industrial Applications
This presentation explores the transformative impact of eXplainable Artificial Intelligence (XAI) across various industrial sectors. It highlights real-world XAI-driven applications in manufacturing, production, road safety, and air traffic management highlighting its impact on industrial automation, and improving decision-making processes. Additionally, it addresses the challenges and ethical considerations of integrating AI in these industries, emphasizing the need for trustworthy AI development to ensure sustainable industrial growth.
Dr. Shahina Begum, Professor, and deputy leader of the Artificial Intelligence and Intelligent Systems group at MDU. Shahina’s research focuses on developing intelligent systems in medical and industrial applications. Shahina Begum received her PhD in Artificial Intelligence in 2011, from Mälardalen University. Her research areas are Artificial Intelligence, Multimodal Machine Learning and reasoning, Generative AI, Explainable AI (XAI), Data Analytics, Decision Support Systems, Knowledge-based Systems, and Intelligent Monitoring and Prediction Systems.
Shahina has been the principal applicant and project manager for a number of research projects at MDU. She received a Swedish Knowledge Foundation’s Prospect individual grant for prominent young researchers in 2011 and is today leading several research projects in the area of intelligent -monitoring and prediction systems in collaboration with industrial partners. Shahina has been listed amongst the 100 most relevant researchers in sustainable AI algorithm development by the Royal Swedish Academy of Engineering Sciences.
Talk Title: Can AI Help Human Social Networks Be More Creative?
Socio-cognitive soft skills such as creativity, leadership, storytelling, debate, teamwork, and negotiation are vital for the future of work. Moreover, teams increasingly rely on online interaction platforms to navigate remote work. Elevating people’s soft skills and performance outcomes at scale, particularly in online interaction settings, is one of the aspirational challenges of our time.
In this talk, I will focus on creativity—the most critical soft skill of the future. In particular, I will discuss how social interactions may affect the novelty of our ideas. Through the lens of our transdisciplinary experiments, I will explain how a social network’s connections and creative outcomes co-evolve in response to its members’ ideation performances, popularity, and identity attributes. Building on this groundwork, I will explain our intelligent peer recommendation engine, SocialMuse, which can proactively nudge social network connections toward directions of higher performance. I will summarize our work’s actionable insights into building performance-enhancing intelligent applications.
Dr. Raiyan Abdul Baten is an Assistant Professor in the Department of Computer Science and Engineering at the University of South Florida. His research focuses on building technology to enhance human soft skills and performance outcomes. In doing so, he brings methods and materials from computer science, social science, psychology, network science, and cognitive science together. He completed his MS, PhD, and postdoctoral training at the University of Rochester. Previously, he received his BSc degree from the Bangladesh University of Engineering and Technology. He was previously a research intern at Snap Inc. and Samsung R&D Institute.
