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pop AI

A European Positive Sum Approach towards AI tools in support of Law Enforcement and safeguarding privacy and fundamental rights’ (pop AI)

The core vision of the pop AI project is to foster trust in artificial intelligence (AI) for the security domain via increased awareness, ongoing social engagement, consolidating knowledge on the topic and offering a unified European view across Law Enforcement Agencies (LEAs). The aim is to create an ecosystem that will form the structural basis for a sustainable and inclusive European AI hub for Law Enforcement.

  • Objectives
  • Timeframe
  • What does ECAS do?

The above-mentioned goals will be achieved through a common effort of 13 partners from 8 different EU Member States. The project will identify the existing state of the art in relation to the use of AI by LEAs and diverse approaches to the presence and application of AI tools in the security domain. It will bring together and engage experts and different stakeholders, including EU citizens, who will be asked to share their key concerns and best practices. Finally, it will develop different sets of recommendations addressed at policymakers and LEAs, the civil society, and AI technology developers.

The project is funded by the Horizon2020 Programme of the European Union and is implemented by ECAS in consortium with:

  • National Center for Scientific Research “Demokritos”, Greece
  • Trilateral Research Limited, Ireland
  • Eticas Research and Innovation, Spain
  • Kentro Meleton Asfaleias, Greece
  • Ethniko Kentro Erevnas Kai Technologikis Anaptyxis, Greece
  • Technische Universiteit Eindhoven, The Netherlands
  • Zanasi Alessandro srl, Italy
  • Hellenic Police, Greece
  • Hochschule fur den offentlichen Dienst in Bayern, Germany
  • Gobierno Vasco – Departamento Seguridad, Spain
  • Akademia Policajneho Zboru V Bratislave, Slovakia
  • Comune di Torino, Italy

1 October 2021 – 30 September 2023

  • Crowdsource citizens’ attitudes towards AI and best solutions for avoiding harms and ensuring benefit from AI in policing.
  • Set up a social listening exercise to consider real-time summary of monitored, relevant conversations ‘at a glance’. This will be done via an automated Digital Dashboard that monitors CommonCrawl historical web data (e.g. news media, activist websites, blogs) for keywords as defined by the ethical taxonomy and controversies.
  • Organise and engage LEAs and relevant experts through six Pop AI Stakeholder Policy Labs.
  • Draft White Paper outlining recommendations for and from the Civil Society in the field of the AI.