Imagine a digital town hall where AI helps organize thousands of citizen opinions without ignoring minority voices or being biased. It's like having a smart moderator that ensures every conversation is fair and follows strict rules of privacy and human rights. This tool makes sure that when a city uses AI to make decisions, people actually understand how the computer reached that conclusion.
Public institutions struggle to use AI for citizen engagement because these systems are often 'black boxes' that lack transparency and may accidentally exclude vulnerable groups.
An AI-driven online discussion platform and a set of conformity assessment mechanisms to ensure fairness and privacy.
If you are a municipal software provider dealing with public distrust in automated decision-making — this project developed a human-centric AI platform that ensures decision-making processes are explainable, transparent and fair.
If you are an AI auditing firm dealing with the complexity of the EU AI Act — this project developed scalable tools for the identification of security risks and conformity with Fairness and Privacy principles.
If you are a platform developer dealing with social inequalities in digital participation — this project developed a system that monitors human rights impacts and prioritizes the voices of vulnerable groups.
Based on available project data, there is no specific pricing model mentioned; the project was supported by an EU contribution of EUR 2,640,875.
The project specifically aims to provide scalable tools for identifying security risks and ensuring conformity with fairness and privacy principles in big data applications.
Based on available project data, specific licensing terms are not provided, though the project results in prototypes and a data governance framework.
It provides tools for conformity assessment and defines a data governance framework based on ethical principles and legal values to ensure AI systems are responsible.
The project period runs from 2023-01-01 to 2025-12-31, with prototypes being developed throughout this window.
The consortium is heavily weighted toward commercial application, with an industry ratio of 45% and 5 industry partners, including 4 SMEs. This suggests a strong focus on creating a viable product rather than just theoretical research, supported by a diverse group of 11 partners across 6 European countries.
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