Amsterdam AI x DSC presents: Exploring Generative AI in People Analytics and HRM

You don't want to miss this! Join us in a conversation in LAB42 in room L3.35 (third floor) from 15:30 - 17:10 focusing on Generative AI in People Analytics and HRM! We have the honour of hosting three amazing speakers, they will each talk about the topic but from three different perspectives. The academic perspective, the Industry perspective and the Industry on Academic perspective.

How to get to L3.35: When you arrive at Science Park you will need to walk towards building 904, then you will see a big LAB42 sign in front of a building, enter this building, take the elevator to the third floor and follow the signs that guide you to room L3.35.

Programme:
15:30 - Walk In
15:45 - Introduction Amsterdam AI and Data Science Centre
15:50 - Talk #1 by Shuai Yuan: Revolutionize your HR daily work with GenAI? Promises and Challenges
16:10 - Discussion
16:15 - Talk #2 by Dr. Georgios Tsatsaronis: Artificial Intelligence for Research Applications
16:40 - Discussion
16:45 - Talk #3 by Jakub M. Tomczak: Generative AI for the Industry: More than ChatGPT
17:05 - Discussion
17:10 - End!

Talk #1 by Shuai Yuan (Assistant Professor in People Analytics at the University of Amsterdam)
Title: revolutionize your HR daily work with GenAI? Promises and Challenges.
Abstract: In this brief presentation, we take a very practical angle to closely watch GenAI's transformational capability to revolutionize HR practices. With no empty words, I will showcase the potential of applying GenAI in a few novel demonstrations. The dark side of the story - the risks and challenges of applying GenAI - will then be revealed.
Bio: With a PhD degree in behavioral data science, Shuai Yuan works as an assistant professor at Amsterdam Business School and in the Amsterdam People Analytics Centre. His research interests are predictive modeling, modern technology, and data science methods for HRM research. He particularly enjoy working with companies on People Analytics projects

Talk #2 by Dr. Georgios Tsatsaronis (Vice President Data Science, Research Content Operations at Elsevier)
Title: Artificial Intelligence for Research Applications
Abstract: The rapid advancements of Generative Artificial Intelligence (GAI) have created the circumstances for a plethora of opportunities in the Research space, as well as in the space of Health and Life Sciences. In parallel, unprecedented challenges await for us ahead, to ensure the development of responsible and ethical AI solutions that can serve our Research and Professional communities in the best possible way. In this talk we are going to focus on the most representative text-to-text GAI architectures that can deliver applied AI solutions with impact, leveraging the immense capabilities of large language models and other types of deep neural networks. We are also going to highlight the most important risks and challenges and provide an overview of the latest evolutions in the research and governance space to address them.
Bio: Dr. George Tsatsaronis is Vice President of Data Science at the Operations division of Elsevier, in Amsterdam, The Netherlands. He has published more than 60 scientific articles in high impact peer review journals and conference proceedings in various areas of Artificial Intelligence, primarily natural language processing and text mining. In Elsevier, Dr. George Tsatsaronis is responsible for the design, implementation, deployment and quality assurance for several of Elsevier’s machine learning solutions and capabilities.

Talk #3 by Jakub M. Tomczak (Eindhoven University of Technology)
Title: Generative AI for the Industry: More than ChatGPT
Abstract: AI is not enough to change the industry, we need Generative AI for that. The goals of Industry 5.0 are about collaboration between humans and machines, high personalization, responsiveness & distribution, autonomous behavior, and new content creation. In this talk, we will show examples that there is no Industry 5.0 without Generative AI.
Bio: Jakub M. Tomczak is an associate professor and the PI of the Generative AI group at the Eindhoven University of Technology (TU/e). He is also the founder of Amsterdam AI Solutions. Before joining the TU/e, he was an assistant professor at Vrije Universiteit Amsterdam, a deep learning researcher (Engineer, Staff) in Qualcomm AI Research in Amsterdam, a Marie Sklodowska-Curie individual fellow in Prof. Max Welling's group at the University of Amsterdam, and an assistant professor and a postdoc at the Wroclaw University of Technology. He is the author of the book entitled "Deep Generative Modeling", the first comprehensive book on Generative AI.