Session 8
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A brain-computer interface (BCI) enables a user to communicate directly with a computer using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the emotional state of the brain, which could facilitate human cognition, communication, decision-making, and health. This talk introduces first the basic concepts of BCIs, and then in detail the individual components in a closed-loop aBCI system, including signal acquisition, signal proc...
In this talk, we explore the potential of sparse-electrode Brain–Computer Interfaces (BCIs) across a range of application domains, from entertainment and personalized information access to healthcare-related scenarios. Our research demonstrates how an AI-driven processing pipeline can extract meaningful signals from the apparent chaos of EEG data collected through commercial, low-density BCI devices.Despite relying on only a handful of electrodes, these syst...
In the subfield of artificial intelligence called "knowledge representation and reasoning", theories of belief change have had a considerable impact. Indeed, belief change is at the heart of many tasks considered intelligent: learning, adapting, convincing. Research in this field has made it possible to formally characterize operators for performing "non-monotonic reasoning" or "belief revision" as new information becomes available.
Powerful AI technologies, especially recently developed large language models, are increasingly mediating or even replacing human thinking, from information and knowledge acquisition, judgment and decision making, creativity, to our understanding of the world. In 1962, Douglas Engelbart described a vision of Intelligence Augmentation (IA), in which machines should augment, instead of replacing, human thinking processes. In this talk, I will revisit this vi...