Event Highlights

Join us as we explore groundbreaking research, engage in enriching discussions, and work towards a unified vision for the future of AI perception.

  • Dates: April 26th-29th, 2024.

  • Location: Goodes Hall, Queen’s University, Kingston, Ontario, and online via Zoom.

About AI Perception

The Perception Problem


At the heart of modern artificial intelligence (AI) development lies a critical challenge known as “The Perception Problem.” This issue addresses the fundamental gap between the capabilities of AI systems to gather information and their ability to discern what is truly relevant in a dynamic environment. For instance, an autonomous vehicle must be able to differentiate a child crossing the street from irrelevant background elements like parked cars or distant buildings. 

           Despite significant advancements in AI, achieving this level of discernment remains a daunting task, largely due to the inherent complexities of mimicking human-like perception. The Perception Problem also raises important questions about safety standards in AI development, especially in contexts where making accurate and consistent perceptual judgments is crucial.

           The current AI systems that are primarily based on deep learning techniques, have shown remarkable success in various domains. However, they often exhibit a “black-box” behaviour, complicating their evaluation in safety-critical applications. Furthermore, these systems are susceptible to adversarial errors, where minor alterations in input can lead to drastically incorrect outputs, highlighting a fundamental disconnect between AI and human perception.

           Addressing The Perception Problem requires a concerted effort to integrate insights from diverse fields including neuroscience, psychology, and philosophy. It calls for a reevaluation of the underlying models of perception that guide AI development, moving beyond traditional representational views to consider more dynamic and interactive frameworks like the sensorimotor approach. 

Purpose and Scope

          In light of these challenges, the Perception Research and Artificial Intelligence Development (PRAID) Conference 2024 serves as a critical platform for collaboration and innovation. The workshop is dedicated to unraveling the intricacies of The Perception Problem and aligning AI systems more closely with the nuanced mechanisms of human perception.

           Our goal is to foster an interdisciplinary dialogue that bridges theoretical insights with practical AI development. By bringing together leading researchers, developers, and thinkers from AI, neuroscience, psychology, and philosophy, PRAID 2024 aims to catalyze the creation of AI systems capable of sophisticated, human-like perception.

          Conference attendees will listen to experts from the fields of AI, Neuroscience, and Philosophy present their latest research and approaches to studying perception. The conference aims to provide an opportunity for knowledge exchange and facilitate discussion on the topic of perception in AI. 

          By addressing The Perception Problem from multiple perspectives, PRAID 2024 aspires to pave the way for AI technologies that can safely and effectively navigate our complex world, enhancing their utility across a wide range of applications from autonomous vehicles to assistive technologies.

Who Should Attend?

This conference is a must attend event for:

Researchers and academics in AI, neuroscience, psychology, and philosophy seeking to deepen their understanding of perception.

AI developers and technologists interested in the latest advancements and theoretical frameworks that could shape the next generation of perception-based systems.

Thought leaders and policy makers concerned with the ethical, social, and safety implications of AI perception.

Whether you’re contributing groundbreaking research or looking to gain new insights, PRAID 2024 promises a wealth of knowledge and networking opportunities.

Talk to us

Have any questions?

Event funded by:
  • SSHRC Connection Grant
  • Department of Philosophy
  • Department of Psychology
  • School of Computing
  • Smith School of Business
  • Faculty of Arts & Sciences
This is a co-hosted event by Philosophy and Psychology.
Organization Team: Dr. Nancy Salay, Dr. Monica Castelhano, and Hannah Lum Smith
Marketing: Juliana Eberschlag
Website: Jasmine Mishra