Blog, 23 October 2023
The 5 Best Podcasts on Algorithms and Work
Interested in how algorithmic systems affect us at work? Here are some well-researched podcast episodes to get drawn into.
Read moreInterested in how algorithmic systems affect us at work? Here are some well-researched podcast episodes to get drawn into.
Read moreA recent investigation by Tracking Exposed shows that Glovo’s subsidiary in Italy, Foodinho, registers couriers’ off-shift location and shares it with unauthorized parties. The delivery app provider has also been found to have created a “hidden” credit score for their riders.
Read moreWorkers are increasingly being digitally surveilled, datafied and algorithmically managed in Italy, Poland, Sweden and the United Kingdom, a qualitative analysis by AlgorithmWatch shows.
Read moreDonate your CV to fight together against automated discrimination in job application procedures!
Read moreEmployees must be included in the implementation process, if so-called Artificial Intelligence (AI) systems are introduced to their workplace. Such systems are used by many companies for automated decision-making (ADM) already. They are often based on Machine Learning (ML) algorithms. The European Union’s Artificial Intelligence Act (AI Act) draft is designed to safeguard workers’ rights, but such legislative measures won’t be enough. An AlgorithmWatch study funded by the Hans Böckler Foundation explains how workers’ co-determination can be practically achieved in this regard.
Read moreTo train machine learning models, tech companies are hiring a Germany-based service provider to buy selfies and pictures of ID cards from underpaid gig workers, whose rights are often disregarded.
Read moreOur report shows that trade unions are now called upon to focus on practical advice and guidance to empower union representatives and negotiators to deal with the challenges that automation puts onto workers.
Read moreIn August, the Finnish delivery service Wolt published its first “algorithmic transparency report”. We asked three couriers about their experiences. They don't always match the report’s contents.
Read moreAutomated decision-making systems are increasingly used by companies to decide who is best for a job. Applicants are worried about being rejected by a machine, based on programmed prejudices. In Switzerland, employers are especially reluctant to speak about the hiring algorithms that they use.
Read moreA feature on LinkedIn automatically rates candidates applying from another EU country as “not a fit”, which may be illegal. I asked 6 national and European agencies about the issue. None seemed interested in enforcing the law.
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