Special Issue : Perceptual Experience and the Impact of AI on Vision Research
Advances in artificial intelligence (AI) have had a big impact on all scientific disciplines in the past decade, and vision science is no exception. Deep neural networks surpass human performance on some image classification tasks, and generative AI can produce images and videos that, at first glance, are indistinguishable from nature. The focus of this Special Issue is on the impact of AI on vision research and the potential for fruitful research across the divide between biological and computer vision. AI has made huge progress since the first biologically inspired neural network models. In their current format, these models raise many important questions for understanding biological vision and for the future development of computer vision.
- Similarities and differences between human vision and current neural network models;
- The role of vision science in developing explainable and trustworthy AI;
- Understanding and using stimuli created by generative AI;
- Representations and world models in human and computer vision;
- The role of perceptual experience and qualia in human vision and their implications for understanding AI systems.
This Special Issue is inspired by a discussion on the theme of perceptual experience and the impact of AI on vision research at the Scottish Vision Group 2024 annual meeting. Papers on this and other subjects covered at the meeting are encouraged. Submissions on this theme from external contributors are also welcome.
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