On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Despite the promising potential of artificial intelligence (AI) in mental healthcare, practitioners and researchers consistently identify resistance to adoption as a critical bottleneck in implementing these technologies. This resistance manifests across the mental healthcare ecosystem, with both practitioners and clients expressing varying degrees of hesitation to integrate AI-based solutions. Prior research has framed this phenomenon as algorithm aversion – a preference for human over AI decision-making, even when AI demonstrates superior performance. However, in this talk, I argue that current research has failed to fully explain AI adoption barriers due to two critical gaps: the absence of a robust theoretical framework and insufficient attention to the social-relational contexts in which AI systems are deployed. The first part of this talk demonstrates how the lack of a theoretical framework has led researchers to misidentify or overemphasize certain adoption barriers while overlooking others. The second part presents a novel framework for understanding AI adoption through a social-relational lens, offering a more nuanced approach to studying and addressing implementation challenges in mental healthcare settings.