#work (7 results)

Blog, 15 June 2023

Help us fight injustice in hiring!

Donate your CV to fight together against automated discrimination in job application procedures!

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Project, 12 June 2023

Atlas of Automation

To detect benefit fraud, measure work performance, predict a person's creditworthiness or show us personalised content online - algorithms and so-called "artificial intelligence" are shaping our everyday lives today. Where, by whom and for what purpose these algorithmic systems are used, however, is largely a black box. With the Atlas of Automation, AlgorithmWatch CH now sheds light on the darkness.

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Story, 23 February 2023

A dollar for your face: Meet the people behind Machine Learning models

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Story, 18 December 2022

Wolt: Couriers’ feelings don’t always match the transparency report

In 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.

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Project, 16 November 2022

FINDHR: Fair algorithms in personnel selection?

AlgorithmWatch CH is part of the Horizon Europe project “FINDHR”. In this interdisciplinary research project, we address software-related discriminatory effects within recruiting processes by developing methods, tools, and trainings that are designed to avoid discrimination.

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Project, 10 November 2022

Analytics for the People? What algorithms at the workplace mean for worker rights and participation

In a joint project with the trade union syndicom, AlgorithmWatch CH is investigating how employees can be empowered when algorithmic systems are used in the workplace. The focus lies on how they can stand up for their rights and what concrete options and recommendations can be derived from this.

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Story, 29 August 2022

Digital Bouncers: AI in Recruiting

Automated 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.

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