Lack, O., Ngiam, W., & Semmler, C. (2026).
Investigating the Perceived Unpredictability of Artificial Intelligence: The Role of Temperature and Pre-Prompting
PsyArXiv Preprints,
https://replacelink
Research.
Lack, O. (2026).
chatPsych: An Artificial Intelligence Interface for Human-AI Interaction Research
Pre-submission,
https://chatpsych.org/
McGrath, M. J., Lack, O., Tisch, J., & Duenser, A. (2025).
Measuring trust in artificial intelligence: Validation of an established scale and its short form.
Frontiers in Artificial Intelligence, 8.
https://doi.org/10.3389/frai.2025.1582880
McGrath, M., Lack, O., Tisch, J., Duenser, A. (2023).
Validation of a Measure of Trust in Artificial Intelligence
[Conference paper]. The second International Conference on Hybrid Human-Artificial Intelligence, Munich, Germany.
Graduate Research.
Adelaide University,
The Australian Institute for Machine Learning (AIML) & The School of Psychology
Various links.
Works in Progress.
-
Lack, O. (2026). To Consider Perceptions or Reality? The Conscious AI Predicament.
Abstract:
To optimise research efforts concerning conscious AI and anthropomorphism, the importance and distinction between perceptions of machine consciousness and real artificial consciousness should be advanced. The discourse surrounding the creation and perception of artificial consciousness is expanding beyond merely philosophical inquiry. Various fields of research are taking seriously the practical, ethical, and existential issues surrounding seemingly human-like AI. Discussions of artificial consciousness have mostly been philosophical, due to the general lack of understanding of consciousness and the lack of real-world systems that could display signs of consciousness. However, since rapid improvements to the human-like capabilities of AI, increasing signs of consciousness in future systems are expected. Particularly since the ChatGPT spectacle, the insurgence of such human-like AI presents an imperative to address the consequences of implementing these systems. The purpose of this article is to outline the two distinct research directions concerned with what I term the Conscious AI Predicament. These directions are distinguished by whether they focus on understanding perceptions of consciousness or real artificial consciousness. Each focus has distinct and important practical, ethical, and existential consequences. This work expands recent discussion from Seth (2024), providing a preliminary map of the Conscious AI Predicament and evaluation of its two research directions and consequences. - Lack, O. (2026). Surprise! Your AI Might Be “Alive”: The Influence of Unpredictability/Autonomy on Moral Action and Perceptions of Machine Minds.
- Lack, O. (2026). Perceiving Mind in Machine: A Cross-Disciplinary Scoping Review of Theories, Cues, Measures, and Empirical Work Concerning AI Systems