With the ‘Automation on the Move’ project, AlgorithmWatch will help to challenge the untenable status quo for people on the move.
Assessing algorithmic systems is an indispensable step towards the protection of democracy, human rights, and the rule of law. At the moment, it is largely unclear how it can and should be done. With the support of Alfred Landecker Foundation, we are developing ideas, procedures, and best practices to effectively assess algorithms for systemic risks, test them in practice, and advocate for their adoption.
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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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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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DataSkop is a platform designed to analyze algorithmic decision-making systems through data donations. Interactive experiments and visualizations help users learn to understand data streams and get an idea of the impacts that algorithms have.
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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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