AlgorithmWatch is a non-profit research and advocacy organization that is committed to watch, unpack and analyze automated decision-making (ADM) systems and their impact on society.
Facebook is quietly dismantling CrowdTangle, a tool that academics, watchdog organizations and journalists rely on to expose disinformation and other problematic content on the platform. The move contradicts the company’s commitments to give researchers better access to data.
With FindClone and similar services like PimEyes and Search4faces, a privacy "nightmare scenario" is already a reality. What are the (mis)use cases for face recognition tools that anyone can pay to use?
30-40h/week | Berlin | starting in September
The European Data Protection Board has called for input on its recently published guidelines on the use of facial recognition technology in law enforcement. AlgorithmWatch responded.
The EU’s new Digital Services Act is a blueprint for forcing Facebook, Youtube, and other major online platforms to tackle the serious risks they pose to individuals and the public sphere. Its success now depends on whether EU officials will effectively enforce the law.
The 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.
We 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.
When the right to privacy is violated, it is often the case that other human rights are also negatively impacted. In our submission, we list key areas of concerns on the way automated decision-making systems (ADMs) affect people’s basic rights.
Read 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. See our publications
In 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 moreHow does automated decision-making effect our daily lives? Where are the systems applied and what happens when something goes wrong? Read our journalistic investigations on the current use of ADM systems and their consequences. Read our stories
Two residents in Rome with exactly the same driving history, car, age, profession, and number of years owning a driving license may be charged a different price when purchasing car insurance. Why? Because of their place of birth, according to a recent study.
Read moreRead our responses and expert analyses on current political and regulatory developments concerning automated decision-making. Read our positions
AlgorithmWatch and 17 other civil society organizations are calling on the European Parliament to quickly mobilize the resources needed for the European Commission to strongly enforce of the Digital Markets Act.
Read moreUpcoming events, campaigns and updates from our team – here is where you get your news about AlgorithmWatch. Visit our blog
Christina Elmer, Professor of Digital Journalism at TU Dortmund University and one of the most renowned data journalists in Germany, becomes a new shareholder of the non-profit watchdog organization.
Read moreOur 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 platfroms and public discourse. You can also get involved! Engage and contribute, for example with a data donation! Learn more about our projects
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.
Read more