abusesaffiliationarrow-downarrow-leftarrow-rightarrow-upattack-typeburgerchevron-downchevron-leftchevron-rightchevron-upClock iconclosedeletedevelopment-povertydiscriminationdollardownloademailenvironmentexternal-linkfacebookfiltergenderglobegroupshealthC4067174-3DD9-4B9E-AD64-284FDAAE6338@1xinformation-outlineinformationinstagraminvestment-trade-globalisationissueslabourlanguagesShapeCombined Shapeline, chart, up, arrow, graphLinkedInlocationmap-pinminusnewsorganisationotheroverviewpluspreviewArtboard 185profilerefreshIconnewssearchsecurityPathStock downStock steadyStock uptagticktooltiptwitteruniversalityweb

Diese Seite ist nicht auf Deutsch verfügbar und wird angezeigt auf English

Artikel

5 Jan 2021

Autor:
Gabriel Geiger, Vice

Court Rules Deliveroo Used 'Discriminatory' Algorithm

An algorithm used by the popular European food delivery app Deliveroo to rank and offer shifts to riders is discriminatory, an Italian court ruled late last week, in what some experts are calling a historic decision for the gig economy. The case was brought by a group of Deliveroo riders backed by CGIL,Italy’s largest trade union...

While machine-learning algorithms are central to Deliveroo’s entire business model, the particular algorithm examined by the court allegedly was used to determine the “reliability” of a rider. According to the ordinance, if a rider failed to cancel a shift pre-booked through the app at least 24 hours before its start, their “reliability index” would be negatively affected. Since riders deemed more reliable by the algorithm were first to be offered shifts in busier timeblocks, this effectively meant that riders who can’t make their shifts—even if it’s because of a serious emergency or illness—would have fewer job opportunities in the future.

According to the court, the algorithm’s failure to take into account the reasons behind a cancellation amounts to discrimation and unjustly penalizes riders with legally legitimate reasons for not working. Deliveroo was ordered to pay €50,000 (~$61,400) to the suing parties...

The case is also indicative of an increased willingness on behalf of regulators, the judicial system, labor unions, and workers across the continent to tackle blackbox algorithms, and an increased awareness of how such algorithms can potentially be abused to circumvent traditional labor protections.

Informationen zum Datenschutz

Diese Website verwendet Cookies und andere Web-Speichertechnologien. Sie können Ihre Datenschutzeinstellungen unten festlegen. Die Änderungen werden sofort wirksam.

Weitere Informationen über unsere Nutzung von Webspeicherung finden Sie in unserer Richtlinie zur Datennutzung und Cookies

Strictly necessary storage

ON
OFF

Necessary storage enables core site functionality. This site cannot function without it, so it can only be disabled by changing settings in your browser.

Analytics-Cookie

ON
OFF

When you access our website we use Google Analytics to collect information on your visit. Accepting this cookie will allow us to understand more details about your journey, and improve how we surface information. All analytics information is anonymous and we do not use it to identify you. Google provides a Google Analytics opt-out add on for all popular browsers.

Promotional cookies

ON
OFF

We share news and updates on business and human rights through third party platforms, including social media and search engines. These cookies help us to understand the performance of these promotions.

Ihre Privatsphäre-Einstellungen für diese Website

Diese Website verwendet Cookies und andere Web-Speichertechnologien, um Ihre Erfahrung über die notwendigen Kernfunktionen hinaus zu verbessern.