#hr (11 results)

Explainer

Managed by the algorithm: how AI is changing the way we work

Automated decision-making systems control our work, whether in companies or via platforms that allocate jobs to independent contractors. Companies can use them to increase their efficiency, but such systems have a downside: They can also be used to surveil employees and often conceal the exploitation of workers and the environment.

Help us fight injustice in hiring!

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

Press release

New study on AI in the workplace: Workers need control options to ensure co-determination

Employees 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.

New study highlights crucial role of trade unions for algorithmic transparency and accountability in the world of work

Our 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.

Correlation, causation & proxy variables?

Short explanatory videos introduce terms and concepts relevant for automation in HR

Reviewing essential features of AI-based systems for works councils and other staff representatives

by Prof. Dr. Sebastian Stiller, Jule Jäger & Sebastian Gießler

People analytics in the workplace – how to effectively enforce labor rights

Introduction and recommendations

People Analytics must benefit the people

An ethical analysis of data-driven algorithmic systems in human resources management, by Michele Loi

Controversial service that ranked job seekers based on personal emails folds following AlgorithmWatch investigation

A Finnish company that automatically parsed the personal emails of job applicants to assess their corporate “fit” discontinued its service after reports by AlgorithmWatch and others raised questions about its legality.

Defective computing: How algorithms use speech analysis to profile job candidates

Some companies and scientists present Affective Computing, the algorithmic analysis of personality traits also known as “artificial emotional intelligence”, as an important new development. But the methods that are used are often dubious and present serious risks for discrimination.

Personal Scoring in the EU: Not quite Black Mirror yet, at least if you’re rich 

A centralized, permanent and public personal scoring system is very unlikely to appear in EU countries, but this does not mean that a large share of the European population is not or will not be subject to invasive scoring mechanisms.