When using automated decision-making systems (ADM systems) in the public sector, authorities act in a unique context and bear special responsibilities towards the people affected. Against this background, the use of ADM systems by public administrations should be subject to stringent transparency mechanisms – including public registers and mandatory impact assessments.
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Last week, the Council of Europe’s Ad Hoc Committee on Artificial Intelligence (CAHAI) held its last session. In a joint statement with the Conference of International NGOs of the Council of Europe, Global Partners Digital, and Homo Digitalis, AlgorithmWatch expresses concerns over the outcome of the process, and calls upon the Council of Europe to ensure that the procedure leading to a legal framework on AI be inclusive and open to representatives of civil society. Read the full statement below!
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AlgorithmWatch Switzerland co-authored a position paper on the regulation of AI systems in Switzerland. The paper was written in collaboration with an interdisciplinary consortium of academics and supported by the DSI Strategy Lab (University of Zurich).
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In April 2021, the European Commission published its draft version of the Artificial Intelligence Act (AI Act). The regulation will be directly relevant for Switzerland. Read our submission to the Commission’s proposal.
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AlgorithmWatch and AlgorithmWatch Switzerland are joining 177 civil society organizations, activists, technologists, and other experts around the world to call for an outright ban on uses of facial recognition and remote biometric recognition technologies that enable mass surveillance and discriminatory targeted surveillance.
Read moreA large coalition of civil society organizations, among them AlgorithmWatch and AlgorithmWatch Switzerland, have come together in a European movement that demands a ban on biometric recognition systems that enable mass surveillance. Earlier this year, it launched a European Citizens Initiative, calling on the EU to ban biometric mass surveillance - such as automated face recognition in public spaces.
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