The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synt ....The Misinformation Future—Confronting Emerging Threats. Misinformation presents challenges to public health and democracy. Though psychological research has explored processing mechanisms and countermeasures, new threats are arising that need to be confronted. This project aims to help meet these threats by (a) investigating misinformation impacts on future-oriented cognition and behaviours, with a focus on global long-term issues and (b) addressing the unique challenges posed by visual and synthetic (AI-generated) misinformation. The expected outcome is new knowledge on the processing and impacts of emerging types of misinformation and translation into practical interventions. These promise to benefit consumers, educators and policymakers, contributing to a healthier information environment.Read moreRead less
Finding equivalence between natural and artificial intelligences. This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. ....Finding equivalence between natural and artificial intelligences. This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. Expected outcomes include a framework that provides powerful, nuanced criteria for comparison of natural and artificial intelligences. Benefits are expected to include enhanced guidance for the development of AI systems both in everyday contexts and as exploratory tools in comparative and cognitive neuroscience.Read moreRead less
Beyond Scenarios: Testable Models of the Evolution of Norms. The aim of this project is to investigate the evolution of social norms, and their causal role in social life and its breakdown. It expects to generate new knowledge in this area through the application of new formal techniques to existing hypotheses; especially causal analysis, evolutionary game theory, and phylogenetic cross-cultural testing for empirically plausibility. Expected outcomes include theory development, improved research ....Beyond Scenarios: Testable Models of the Evolution of Norms. The aim of this project is to investigate the evolution of social norms, and their causal role in social life and its breakdown. It expects to generate new knowledge in this area through the application of new formal techniques to existing hypotheses; especially causal analysis, evolutionary game theory, and phylogenetic cross-cultural testing for empirically plausibility. Expected outcomes include theory development, improved research infrastructure and training in collaboration with international partners, and theoretical recommendations for policy intervention. This should allow greater insight and control over the levers of peaceful social life, both in traditional societies, and in large, open, multi-cultural nations like Australia. Read moreRead less