ABSTRACT
In recent years, AI research has showcased tremendous potential to impact positively humanity and society. Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision-making, sense disambiguation, sarcasm detection, and narrative understanding, as these require advanced kinds of reasoning, e.g., commonsense reasoning and causal reasoning, which have not been emulated satisfactorily yet. The Seven Pillars for the future of AI (sentic.net/7-pillars-for-the-future-of-ai.pdf) address these shortcomings and pave the way for more efficient, scalable, safe and trustworthy AI systems.
SPEAKER BIO
Erik Cambria is a Professor of Artificial Intelligence at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and Founder of several AI companies, such as SenticNet (business.sentic.net), offering B2B sentiment analysis services, and finaXai (finaxai.com), providing fully explainable financial insights. His research focuses on neurosymbolic AI for interpretable, trustworthy, and explainable affective computing in domains like mental health, climate resilience, and socially responsible investing. A Clarivate Highly Cited Researcher, IEEE Fellow, and Forbes-featured AI leader, he serves as Associate Editor for top AI journals and contributes to major AI conferences.
ZOOM LINK:
https://mit.zoom.us/j/93791146462?jst=2
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