<p>This paper explores the impact of artificial intelligence (AI) on public trust in democratic governance through a conceptual analysis using the OECD’s (Organisation for Economic Co-operation and Development) five dimensions of trust: integrity, responsiveness, reliability, openness, and fairness. Drawing on recent political developments in the UK, including the emergence of AI-driven political figures and public perception data from the Office for National Statistics (ONS), it argues that AI’s growing role in political communication and representation may amplify public doubt, even where trust is not entirely eroded. This analysis concludes with policy recommendations linking digital literacy to personal protective equipment (PPE) and emphasizes transparency as essential for maintaining public confidence in an AI influenced democratic environment. While trust in institutions remains an important metric, this paper suggests that persistent doubt, subtler, systemic, and harder to detect, may prove more disruptive to democratic confidence. Policymakers and AI governance frameworks must move beyond trust building rhetoric and proactively account for doubt, embedding protections, such as digital literacy, and human accountability, into future policy design.</p>

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Normalizing doubt: AI, democratic confidence, and the OECD trust framework

  • Craig Smith

摘要

This paper explores the impact of artificial intelligence (AI) on public trust in democratic governance through a conceptual analysis using the OECD’s (Organisation for Economic Co-operation and Development) five dimensions of trust: integrity, responsiveness, reliability, openness, and fairness. Drawing on recent political developments in the UK, including the emergence of AI-driven political figures and public perception data from the Office for National Statistics (ONS), it argues that AI’s growing role in political communication and representation may amplify public doubt, even where trust is not entirely eroded. This analysis concludes with policy recommendations linking digital literacy to personal protective equipment (PPE) and emphasizes transparency as essential for maintaining public confidence in an AI influenced democratic environment. While trust in institutions remains an important metric, this paper suggests that persistent doubt, subtler, systemic, and harder to detect, may prove more disruptive to democratic confidence. Policymakers and AI governance frameworks must move beyond trust building rhetoric and proactively account for doubt, embedding protections, such as digital literacy, and human accountability, into future policy design.