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.
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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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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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