"The evolution of workplace surveillance is shifting from merely measuring work to learning how to replace it, as companies seek to understand the intricacies of employee tasks."
"Detailed, real-world examples of how workers operate are among the most valuable inputs for building effective AI agents, as they provide insights into decision-making processes."
"Companies are not only interested in the final product but also in the methods used to create it, as this data can significantly enhance AI training."
Employee surveillance has intensified due to remote work and advanced monitoring tools. Companies like AT&T and JPMorgan are tracking employee activities to gather data on work processes. This data, referred to as 'digital exhaust,' provides insights into decision-making and task execution. Employers aim to understand not just the outcomes of work but the methods used to achieve them. This information is crucial for developing effective AI agents that can replicate human work processes.
Read at www.businessinsider.com
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