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Content type: Examples
New workplace technologies are generating mountains of data on workers despite a lack of clarity over how the data is used and who owns it. In offices, smart badges track interactions and sensors track fitness and health; in trucks sensors monitor drivers' performance in the name of safety. In the US state of Illinois, between July and October 2017 26 lawsuits were filed by employees alleging that their employers had violated the state's Biometric Information Privacy Act, which requires a…
Content type: Examples
In November 2018, worried American parents wishing to check out prospective babysitters and dissatisfied with criminal background checks began paying $24.99 for a scan from the online service Predictim, which claimed to use "advanced artificial intelligence" to offer an automated risk rating. Predictim based its scores in part on Facebook, Twitter, and Instagram posts - applicants were required to share broad access to their accounts - and offered no explanation of how it reached its risk…
Content type: Examples
In December 2018 Walmart was granted a patent for a new listening system for capturing and analysing sounds in shopping facilities. The system would be able to compare rustling shopping bags and cash register beeps to detect theft, monitor employee interactions with customers, and even listen to what customers are saying about products. The company said it had no plans to deploy the system in its retail stores. However, the patent shows that, like the systems in use in Amazon's cashier-less Go…
Content type: Examples
In 2015, the Swedish startup hub Epicenter began offering employees microchip implants that unlock doors, operate printers, and pay for food and drink. By 2017, about 150 of the 2,000 workers employed by the hub's more than 100 companies had accepted the implants. Epicenter is just one of a number of companies experimenting with this technology, which relies on Near Field Communication (NFC). The chips are biologically safe, but pose security and privacy issues by making it possible to track…
Content type: Examples
In 2017, Uber began a programme experimenting with using psychology and social science insights to influence when, where, and how long its drivers work. Among other techniques, Uber auto-loaded the next fare to encourage the driver equivalent of binge TV-watching; reminded drivers when they're close to their earnings targets to keep them from logging off; and used game-style graphics and small-value awards to keep drivers at the wheel. The company also had male managers adopt female…
Content type: Case Study
Gig economy jobs that depend on mobile applications allow workers’ movements to be monitored, evaluated, and exploited by their employers.
The so-called “gig economy” has brought to light employers’ increasing ability and willingness to monitor employee performance, efficiency, and overall on-the-job conduct. Workplace surveillance of gig economy workers often happens without employees’ awareness or consent. This is especially evident in the app-based gig economy, where apps act both as an…