13 March 2023
AI and the Challenge of Sustainability: The SustAIn Magazine’s new edition
In the second issue of our SustAIn Magazine, we show what prevents AI systems from being sustainable and how to find better solutions.
Read moreRead our comprehensive reports, analyses and working papers on the impact and ethical questions of algorithmic decision-making, written in collaboration with our network of researchers and civil society experts.
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.
In the second issue of our SustAIn Magazine, we show what prevents AI systems from being sustainable and how to find better solutions.
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 moreUnderstanding causes, recognizing cases, supporting those affected: documents for implementing a workshop.
Read moreThe environmental, social and economic sustainability costs of AI urgently need to be addressed by academia, industry, civil society and policy makers – based on evidence. With the first edition of our SustAIn magazine, we hope to fuel this debate.
Read moreWe are faced with automated decision-making systems almost every day and they might be discriminating, without us even knowing about it. A new guidebook helps to better recognize such cases and support those affected.
Read moreIn a new AlgorithmWatch discussion paper, data regulation expert Winfried Veil argues that the Data Governance Act is not only annoyingly bureaucratic, but a missed opportunity to breathe life into the “Data for Good” idea.
Read moreThe sustainability of AI systems is sometimes not in good shape. Among other things, AI systems are discussed for issues relating to discrimination, high energy and resource consumption, as well as the reproduction of social inequalities. In a new publication, the "SustAIn" project has presented comprehensive criteria for a systematic sustainability assessment of AI-based systems – eventually with the aim to promote more sustainable AI.
Read moreIn this final report, we will provide an early overall assessment of the main trends and developments concerning ADM-based responses to COVID-19.
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