December 2022
Prof. Ujwal Gadiraju, Delft University, Netherlands gave an invited talk Human-Centered Artificial Intelligence – A Crowd Computing Perspective on 12 December.
A brief summary of Prof. Ujwal Gadiraju’s talk in his words:
The unprecedented rise in the adoption of artificial intelligence techniques and automation in many contexts is concomitant with the shortcomings of such technology concerning robustness, interpretability, usability, trustworthiness, and explainability. Crowd computing offers a viable means to leverage human intelligence at scale for data creation, enrichment, and interpretation, demonstrating a great potential to improve the performance of AI systems and increase the adoption of AI in general. In this talk, I will discuss opportunities in crowd computing to propel better AI technology and argue that to make such progress, fundamental problems need to be tackled from both the computational and interactional standpoints. We will shed light on the research needed to help pave a future where humans can benefit by working seamlessly with AI systems.
Prof. Ujwal Gadiraju is a tenured Assistant professor in the Software Technology Department of the EEMCS Faculty, Delft University of Technology. He is a Director of the Delft AI “Design@Scale” Lab and a member of the program management team of the TU Delft AI Labs. In addition, Ujwal co-leads a research line on Crowd Computing and Human-Centered AI at the Web Information Systems group. He is also a Distinguished Speaker of the ACM and a board member of CHI Netherlands. Before joining the WIS group, Prof. Gadiraju worked at the L3S Research Center as a Postdoctoral researcher between 2017-2020. He received a Ph.D degree in Computer Science with a summa cum laude recognition from the Leibniz University of Hannover, Germany in 2017 and a M.Sc degree in Computer Science from TU Delft, Netherlands, in 2012. His research interests lie at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Retrieval (IR), with a special focus on Crowd Computing. Prof. Gadiraju has published over 125 peer-reviewed articles, including at premier venues such as ACM CHI, ACM CSCW, ACM TOCHI, AAAI HCOMP, ACM TheWebConf, ACM SIGIR, ACM UBICOMP, ACM CIKM, ACM WSDM, ACM HT, ACM UMAP, among others. His work has been recognized with several honors, including a nomination for the Best Paper award at the WebConf-2022, Amazon Best Paper Award at AAAI HCOMP 2021, Best Student Paper Award at AAAI HCOMP 2020, Best Paper Award Honorable Mention at ACM CSCW 2020, Douglas Engelbart Best Paper Award at ACM HT 2017.
Ujwal’s prior work in Crowd Computing has explored methods to improve the effectiveness of the crowdsourcing paradigm, running large-scale human-centered experiments to understand the interaction between humans and machines and the societal impact of algorithmic decision-making. His current research focuses on creating novel methods, interfaces, systems, and tools to overcome existing challenges on our path toward building trustworthy AI systems and facilitating better reliance of humans on AI systems.
More details at: http://ujwalgadiraju.com