Grand Débat National — France's AI-Assisted Analysis of 2 Million Citizen Contributions
France
France's 2019 Grand Débat National used a seven-firm consortium's NLP pipeline to classify and synthesise nearly 2 million online contributions …
Switzerland · Lugano · See the Switzerland profile
Evidence: Descriptive / self-reported Top 94% 27/100 · Ask Evidence Copilot about this practice
In 2019, Lugano's public innovation lab and IBM Research ran a one-off AI experiment collecting 2,500+ citizen arguments on self-driving vehicles and auto-generating opposing speeches — a striking pilot with no independent evaluation or repeat use documented since.
CH07In September 2019, the City of Lugano's public innovation unit, Lugano Living Lab, partnered with IBM Research's Haifa and Zurich labs to run the first urban-scale test of Project Debater 'Speech by Crowd', applying an AI debate system to open civic consultation.
Residents submitted short arguments, anonymously, for or against the question 'Should we further explore the development of self-driving vehicles?'. The system's natural-language pipeline clustered, scored and filtered submissions by relevance, novelty and persuasive strength, then auto-composed two opposing summary speeches.
Over a few weeks the system collected more than 2,500 individual arguments; roughly seven in ten participating arguments favoured further development of autonomous vehicles. Results were presented publicly on 3 September 2019 at Lugano Digital Day.
Speech by Crowd was explicitly framed by its organisers as a first-of-its-kind pilot, and no independent evaluation, policy outcome or repeat deployment in Lugano or elsewhere has been documented since 2019; its participation figures were self-reported by the project team rather than independently audited.
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Where this practice's information was retrieved from, and when.
France
France's 2019 Grand Débat National used a seven-firm consortium's NLP pipeline to classify and synthesise nearly 2 million online contributions …
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