Description

Workers have always been monitored by their bosses, first through output targets, and then via computer software labelled ‘bossware’. But AI is transforming the capabilities of these systems, processing huge volumes of data to provide minute-by-minute accounts of activity, and productivity. To find out more, Ian Sample hears from UK technology editor Robert Booth. He explains which sectors are adopting this approach, why they are doing it, and how it could end up being counterproductive.

Summary

This video examines the increasing deployment of AI-driven 'bossware' and its implications for workplace productivity and employee monitoring. It highlights how the transition from output-based targets to minute-by-minute behavioral analysis represents a significant shift in labor-focused AI capabilities. While the content focuses on socio-economic impacts and worker privacy within the UK, it provides context for the broader governance of algorithmic systems, though it lacks direct analysis of catastrophic or existential risks associated with frontier AI models.

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