Our daily lives are increasingly affected by automated decisions. And when something goes wrong, we often don’t know where to turn. Imagine so much traffic being routed through your neighborhood by navigation apps, that you can’t safely cross the street. Or the photo booths at public offices don’t recognize your face because they don’t work on…
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The ‘Tracing the Tracers’ project provides a platform to continuously update the public on how automated decision-making systems are being used in Europe — and the rest of the world — in response to the COVID-19 pandemic. Read our analyses, search the database and contribute by flagging ADM systems not yet listed here!
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How sustainable is Artificial Intelligence? At this point in time, we are aware that a lot of energy is needed in the development and application of AI, that so-called click workers classify data sets for training AI systems under very poor working conditions and that these systems quite often reinforce existing patterns of discrimination. In view of an increasing number of AI systems in use, there is an urgent need to discuss how AI can be made more sustainable. This is where our project SustAIn comes in.
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DataSkop is a platform for data donations used to examine and scrutinize algorithmic decision-making systems and to strengthen the users’ digital autonomy. In its first project AlgorithmWatch and a consortium of researches are using data donations to shed light on YouTube’s black-box recommendation algorithm.
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The project ‘Automating Society’ aims at composing a previously unreleased mapping and analysis of automated decision-making (ADM) applications in the public policy sphere in Europe.
Read moreHelp us unveil the secrets of Instagram's algorithm
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AlgorithmWatch upgraded its AI Ethic Guidelines Global Inventory by revising its categories and adding a search and filter function. Of the more than 160 guidelines we compiled, only a fraction have the necessary enforcement mechanisms in place and the overwhelming majority comes from Europe and the US.
Read moreBei der Diskussion von gesetzlichen Regulierungen algorithmischer Systeme ist es sinnvoll, zu prüfen welche rechtlichen Rahmenbedingungen bereits existieren. Die Spannbreite der berührten Rechtsgebiete reichen dabei vom Datenschutzrecht, über das Arbeitsrecht bis zum Diskriminierungsrecht. Ebenso gibt es eine Vielzahl sonstiger Regelungen in angrenzenden Rechtsgebieten die für die Regulierung von algorithmischen Systemen relevant sein können. Das Gutachten…
Read moreKI-gestützte Automatisierungsverfahren sollen Aufgaben im Personalmanagement übernehmen, die bislang Menschen vorbehalten waren. Schon jetzt haben Beschäftigte das Recht auf mehr Informationen über die Funktionsweise dieser Systeme, als die Anbieter bereit sind mitzuteilen. Um die Autonomie der Beschäftigten zu erhalten und dafür zu sorgen, dass auch sie vom Einsatz derartiger Systeme profitieren, sollten Mitbestimmungsrechte ausgebaut werden.…
Read moreSie können den Leitfaden hier als PDF herunterladen. Die Automatisierung des Personalmanagements (Human Resources, Kurzform: HR) wird in Unternehmen weiter voranschreiten. Das bietet einerseits neue Chancen, andererseits birgt es auch Konfliktpotenzial im Betrieb. Denn diese Automatisierung wird die Organisation von Arbeit verändern und damit tiefgreifend die Unternehmensstruktur beeinflussen. Das macht die Einführung und Weiterentwicklung dieser…
Read moreDieses Positionspapier können Sie hier als PDF herunterladen. Unternehmen, die im Personalmanagement Systeme mit so genannter Künstlicher Intelligenz verwenden, handeln möglicherweise rechtswidrig – oft, ohne sich darüber im Klaren zu sein. Denn „People Analytics“-Verfahren dürfen nicht eingesetzt werden, ohne dass Beschäftigte individuell eingewilligt haben oder eine Betriebsvereinbarung vorliegt. Das wird in der Praxis oft nicht…
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How do we, the general public, gain greater control over the estimated 2.5 quintillion bytes of data that is recorded, stored, processed and analysed, every day? Anouk Ruhaak about the concept of data trusts as a way to claw back some control over the digital utilities that we rely on for our everyday lives.
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On 8 October, the first stakeholder convening of the Governing Platforms Project will take place in Brussels. Over the course of the 18-month project, selected stakeholders from civil society, the private sector, academia, and policy, will put their heads together to develop regulatory proposals that address the influence of intermediaries on public discourse. From France’s…
Read moreThis project aims to identify the negative effects of intermediaries on public discourse. In a participatory process involving civil society and other interest groups, we will develop proposals for innovative governance measures and other instruments to be incorporated into the political processes of the EU and its member states.
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AlgorithmWatch's inventory of principles, voluntary commitments and frameworks for an ethical use of algorithms and AI (work in progress)…
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With the "Atlas of Automation" AlgortihmWatch aims to map the state-of-the-art of automated decision-making (ADM) systems in Germany from a participatory perspective.
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TEAM Brigitte Alfter / Research network coordinator Brigitte Alfter is an award-winning Danish-German journalist specialising in European affairs. After a career in local and national Danish media, including a position a Brussels correspondent, she turned to cross-border collaborative journalism with ad hoc teams as well as with existing networks such as the ICIJ. She is…
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In Germany, a number of commissions, expert groups, platforms and organisations were set up by government and parliament to assess the consequence of a wider application of Artificial Intelligence. While it is to be welcomed that different stakeholders engage in the debate, this profusion introduces the risk that expert groups end up working in parallel…
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By Anne Kaun and Julia Velkova The Swedish government aims to place the country at the forefront of the technological development around Artificial Intelligence (AI) and automated decision-making (ADM). In order to accomplish this, it kicked off several strategic initiatives since 2017, including extensive government reports on self-driving cars and a commission for Artificial Intelligence.…
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By Minna Ruckenstein and Julia Velkova At the level of Finnish central government, automation is predominantly discussed in relation to Artificial Intelligence. The government’s goal is to pool together societal-wide resources to foster developments around AI and automated decision-making. The governmental AI Programme consists of concrete initiatives to boost economic growth and to revitalise companies…
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By Karma Peiró Spain is still far away from having any regulation on automated decision-making (ADM). The Digital Strategy for a Smart Spain 2025 [SP 1] is a guide that tries to show the way forward for technological innovation over the coming years. Other initiatives promoted by the Spanish government try to push private companies…
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A survey of procurement data carried out for this report shows automated decision-making (ADM) in use or being introduced in a wide range of applications across the UK public sector, from military command and control to the supervision of schoolchildren while they use the Internet. Civil society and academia are playing an important scrutiny role…
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By Fabio Chiusi In recent years, discussions in Italy about automation have increased both at the institutional level and by the public at large. Academic institutions, mainstream media and civil society have started to debate the consequences of automation in the workplace and on the job market. According to the Italian polling company SWG, 47%…
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By Alek Tarkowski Policy debates on the issue of algorithms and automated decision-making (ADM) have only recently been initiated by the public administration, and they have focused on the related concept of Artificial Intelligence (AI). Before 2018, there were no signs of a policy debate on ADM and related issues. However, that changed in spring…
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By Rosamunde van Brakel Belgium has several levels of government and debates are spread out over the different governments: federal, regional (Flemish, Walloon and Brussels-Capital region government) and the community governments (Flemish, French and German). In general, the current Belgian political discourse uses the terms ‘Big Data’ and ‘Artificial Intelligence’ (AI). In general, the governmental…
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By Brigitte Alfter The Danish government states that it wants to actively further the development of Artificial Intelligence (AI) and related education. The focus is clearly on the potential for economic growth. Activities include support for digital qualifications in general education, funding for research and support for business innovation. A government commission on data ethics…
Read moreIn this report we have compiled findings from 12 EU member states and the level of the EU. In all countries, we looked at the debates focused on the development and application of automated decision-making systems. We identified regulatory strategies and compiled examples of ADM systems already in use. Based upon these findings, we have…
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By Kristina Penner The EU is a lot of things: It is a union of 28 Member States that has a commission, a parliament, a council of national ministers, the Court of Justice, and a couple of other institutions. It has many funding programmes for research and development, committees such as the European Economic and…
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By Nicolas Kayser-Bril French lawmakers’ first confrontation with ADM came in 1978, when they introduced a law to ban it unconditionally. The new law granted citizens the right to access and modify their personal data and required corporations and the government to request pre-authorisation before creating databases of people. At the same time, it prohibited…
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By Lenart J. Kučić Slovenia has not adopted any strategic document on a national level regarding the use of Artificial Intelligence (AI), algorithms or automated decision-making (ADM) systems. However, in April 2008, the Ministry of Public Administration invited [SI 1] all stakeholders in the field of AI to help them find use cases and outline…
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By Gijs van Til In the Netherlands, the impact of automated decision-making (ADM) and Artificial Intelligence (AI) on individuals and society is predominantly discussed as part of the larger Dutch strategy on digitisation. As a prominent part of this strategy, the Dutch Digital Government Agenda plays an important role in setting out how digitisation of…
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The project OpenSCHUFA examines the scoring process of Germany's largest credit agency based on a large-scale crowdsourcing campaign.
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The AlgorithmWatch project explores the use of automated decision-making or decision –support (ADM) systems in human resources (HR) management and its implications on labor rights – funded by Hans Boeckler Stiftung.
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