Ashenden, Debi.

This presentation reports a research-in-progress perspective on the challenges and opportunities that recent advances in AI and Cyber Security offer to Organisational Psychology researchers. The problems facing modern societies are complex, multifaceted, and call for transdisciplinary solutions. Transdisciplinary research, incorporating insights from computer science, psychology, and data science, offer a unique perspective on many problems of our day. However, this research is challenging and rare as it requires experienced professionals, steeped in their own discipline, to work across zones of comfort, method, philosophy, and epistemology. This paper describes the design and development of a transdisciplinary experimental study aiming to solve a pressing industry problem that required the input of organisational psychology methods. The takeaways of our process of learning to work together are relevant for all organisational psychology researchers and practitioners interested in the opportunities offered by AI. Our experiment, currently mid recruitment (N=9), uses a mixed methods design incorporating think-aloud interviewing and quantitative attack path analysis to uncover the optimum placement of tripwire decoys in a network. In addition, the experiment investigates the role of machine learning (ML) algorithms in optimising the placement of deception technologies. Preliminary results from pilot studies are presented, shedding light on the process and providing key considerations for similar future collaborations. The paper sets the stage for future transdisciplinary research in this evolving field as well as laying the foundations for a comprehensive investigation into the effective deployment of new technologies. Key findings of thematic analysis include the identification of methods for decision-making in transdisciplinary research, such as aligning methodologies, recognising the impact of different terminologies, and addressing technical issues. Specific insights include identifying new technologies that are emerging for enhancing network security, however implementation challenges remain. We conclude my arguing that organisational psychologists are well placed to fill this empirical gap. Interested researchers can use the findings of this work to maximise their chances of success in collaborating with their soon-to-be colleagues from machine learning, AI, and cyber. Doing so will ensure organisational psychology maximises relevance in the forthcoming new age of intelligent technology.

1. Evaluate Transdisciplinary Collaboration Techniques
At the conclusion of this event, attendees will be able to evaluate the effectiveness of various transdisciplinary collaboration techniques used in the experimental study, identifying key strategies for bridging methodological, philosophical, and epistemological differences between computer science, psychology, and data science disciplines.
2. Assess the Role of AI in Organisational Security
At the conclusion of this event, attendees will be able to assess the role of machine learning algorithms in optimising the placement of deception technologies within organisational networks. They will understand how methods from organisational psychology are key to enable effective research in this space.
3. Forecast AI's Impact on Future Societal Structures
At the conclusion of this event, attendees will be able to forecast the potential impact of artificial intelligence on some aspects of their life and work, including implications to the Australian workforce, ethical considerations, and privacy concerns.