AI and Cognitive Decentering: How AI can help scientists think differently & spark new research ideas
In this webinar, inspired by the open-access paper “Artificial Intelligence as the Fourth Decentering Revolution”, Prof. Erik Cambria explore how AI can help researchers step outside entrenched thinking patterns and approach scientific problems from new cognitive perspectives.
Access to paper - https://link.springer.com/article/10.1007/s12559-026-10569-8
Rather than viewing AI solely as a productivity tool, this discussion reframes AI as a cognitive collaborator that expands how scientists think and reason about research problems.
About the Speaker
Prof. Erik Cambria is a Professor of Artificial Intelligence at the College of Computing & Data Science at Nanyang Technological University (NTU), Singapore. He also holds the appointment of Provost Chair in Computer Science and Engineering and serves as a Visiting Professor at the MIT Media Lab.
His research focuses on neurosymbolic AI, commonsense reasoning, sentiment analysis, and affective computing, with applications ranging from mental health to climate resilience and socially responsible finance. Prof. Cambria has founded several AI startups, including SenticNet and finaXai, and previously worked with HP Labs and Microsoft Research Asia.
He is ranked among Clarivate’s Highly Cited Researchers (Top 1% globally) and is an IEEE Fellow. Prof. Cambria serves as Associate Editor for several leading AI journals and is an active keynote speaker and program chair at major international AI conferences.