Projects

Our research projects take a specific look at automated decision-making in certain sectors, ranging from sustainablity, the COVID-19 pandemic, human resources to social media platforms and public discourse. You can also get involved! Engage and contribute, for example with a data donation!

19 January 2023

#auditing #platforms #riskassessment

New project: Auditing Algorithms for Systemic Risks

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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About the project, 1 April 2021

SustAIn: The Sustainability Index for Artificial Intelligence

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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9 March 2021

AutoCheck – Mapping risks of discrimination in automated decision-making systems

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25 February 2021

Unding.de – disputing automated decisions

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9 February 2021

Tracing the Tracers

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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6 December 2020

Data Trusts

Sovereignty in handling your personal data

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Project, 15 September 2020

DataSkop

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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1 September 2020

Automating Society

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.

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28 April 2020

In the realm of paper tigers – exploring the failings of AI ethics guidelines

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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