Parr, T;
Hafner, D;
Friston, KJ;
(2018)
Disorders of artificial awareness.
In: Chella, Antonio and Gamez, David and Lincoln, Patrick and Mazotti, Riccardo and Pfautz, Jonathan, (eds.)
Proceedings of the 2019 Towards Conscious AI Systems Symposium (TOCAIS 2019).
CEUR: Stanford, CA, USA.
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Abstract
The study of perceptual awareness in biology often relies upon the study of clinical conditions with either absent or abnormal awareness. In this article, we argue that the same approach may be fruitful in investigating artificial consciousness. To illustrate this, we draw upon recent examples in which disorders of awareness have been induced in artificial systems. Specifically, we call upon the induction of hallucinatory phenomena, and upon visual neglect: a classical disorder of awareness that manifests as a disruption of the action-perception cycle. The key ideas we seek to emphasise from these are the presence of an internal model that generates perceptual content, and the capacity to actively engage with the sensorium.
| Type: | Proceedings paper |
|---|---|
| Title: | Disorders of artificial awareness |
| Event: | 2019 Towards Conscious AI Systems Symposium (TOCAIS 2019), 25-27 March 2019, Stanford, CA, USA |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://ceur-ws.org/Vol-2287/ |
| Language: | English |
| Additional information: | This version is the version of the record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | active inference; awareness; hallucinations; visual neglect; generative models |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10067303 |
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