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The Safety of WorkAuthor: David Provan
Do you know the science behind what works and doesnt work when it comes to keeping people safe in your organisation? Each week join Dr Drew Rae and Dr David Provan from the Safety Science Innovation Lab at Griffith University as they break down the latest safety research and provide you with practical management tips. Language: en Genres: Business, Management, Science, Social Sciences Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Ep. 132: How much should we worry about the invasiveness of team support AI?
Episode 132
Sunday, 14 September, 2025
The findings reveal that invasiveness drives negative reactions more than the stated purpose of monitoring, with participants showing skepticism about AI's ability to accurately measure teamwork quality. The hosts emphasize that even well-intentioned monitoring systems introduce psychosocial hazards and stress, requiring organizations to carefully balance potential benefits against worker well-being impacts when implementing AI-powered team support systems. Discussion Points:(00:00) AI team monitoring invasiveness, AI workplace surveillance(03:16) Research paper introduction and authors from Germany(04:48) Previous research on electronic monitoring and employee reactions(08:49) Study one methodology with invasiveness levels and video scenarios(12:12) Study two simulation with teams designing fitness trackers(17:46) Study one findings on invasiveness and fairness perceptions(24:07) Study two results and participant skepticism about monitoring accuracy(32:48) Practical takeaways on invasiveness levels and stakeholder management(40:42) Final recommendations on balancing benefits and invasivenessLike and follow, send us your comments and suggestions for future show topics! Quotes:Drew Rae: "The moment you divide it up and you just try to analyze the human behavior or analyze the automation, you lose the understanding of where the safety is coming from and what's necessary for it to be safe."David Provan: "We actually don't think about that automation in the context of the overall system and all of the interfaces and everything like that. So we, we look at AI as AI and, you know, deploying. Introducing ai, but we don't do any kind of comprehensive analysis of, you know, what's gonna be all of the flow on implications and interfaces and potentially unintended consequences or the system, not necessarily just the technology or automation itself."Drew Rae: People are going to have reactions. And those reactions are gonna have a big impact on their willingness for you to do this in the first place...You can't just force it onto them… All the things that you're trying to improve might actually get worse because of the monitoring.David Provan: "But I think this paper makes a really good argument, which is actually our automated system should be far more flexible than that. So I might be able to adjust, you know, it's functioning. If I know, if I, if I know enough about how it's functioning and why it's functioning, and I realize that the automation can't understand context and situation, then I should be able to make adjustments."Drew Rae: Most people don't mind if their car is giving them feedback on their driving, but most people don't like it if their car is phoning home to your boss, giving information about your driving. Resources:Intelligent automated systems to support human teamwork: perceived invasiveness impacts team members’ psychological reactions negatively
