This chapter outlines key priorities and open research directions for advancing AI-enhanced democratic deliberation, drawing on comparative insights from multiple European research initiatives. It foregrounds the need to assess the effectiveness and societal impact of AI tools beyond technical performance, with particular attention to democratic values such as inclusiveness, transparency, deliberative quality, and civic empowerment. The chapter addresses persistent challenges related to appropriateness, bias, representational fairness, and the risk of echo chambers in AI-mediated participation. It further explores hybrid human–AI configurations as socio-technical arrangements that can enrich collective reasoning while preserving human agency and institutional responsibility. Particular emphasis is placed on the evolving role of the public sector, including the strategic use of AI in policymaking and eGovernment, and on the necessity of interpretability, trustworthiness, and reliability as conditions for democratic legitimacy and regulatory alignment. The chapter concludes by reflecting on structural and methodological limitations and by identifying future research directions to support responsible, scalable, and value-aligned innovation in AI-supported democratic governance.

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Toward a Hybrid and Humane Democratic Futures

  • George Manias,
  • Spiros Borotis,
  • Sotiris Athanassopoulos,
  • Ilaria Mariani,
  • Francesca Rizzo,
  • Jennifer Edmond,
  • Katerina Touliou

摘要

This chapter outlines key priorities and open research directions for advancing AI-enhanced democratic deliberation, drawing on comparative insights from multiple European research initiatives. It foregrounds the need to assess the effectiveness and societal impact of AI tools beyond technical performance, with particular attention to democratic values such as inclusiveness, transparency, deliberative quality, and civic empowerment. The chapter addresses persistent challenges related to appropriateness, bias, representational fairness, and the risk of echo chambers in AI-mediated participation. It further explores hybrid human–AI configurations as socio-technical arrangements that can enrich collective reasoning while preserving human agency and institutional responsibility. Particular emphasis is placed on the evolving role of the public sector, including the strategic use of AI in policymaking and eGovernment, and on the necessity of interpretability, trustworthiness, and reliability as conditions for democratic legitimacy and regulatory alignment. The chapter concludes by reflecting on structural and methodological limitations and by identifying future research directions to support responsible, scalable, and value-aligned innovation in AI-supported democratic governance.