AI Summit-2024, Sept. 23-25, 2024, Tokyo, Japan Navigating Trust and Anxiety – Prof. Dr. M. Gerlich 1 Navigating Trust and Anxiety: Understanding Public Perceptions of AI and Their Implications for Ethical AI Integration by Prof. Dr. Michael Gerlich Head of Center for Strategic Corporate Foresight and Sustainability SBS Swiss Business School, Kloten, Switzerland michael.gerlich@cantab.net presented at International Experts Summit on Artificial Intelligence and Machine Learning (AI Summit- 2024), September 23-25, 2024, Tokyo, Japan Abstract Artificial intelligence (AI) is rapidly transforming various sectors, from healthcare and finance to education and public policy. Despite its potential, public trust in these technologies remains a crucial factor influencing their successful integration into society. This paper synthesises findings from two comprehensive studies that examine the dual themes of anxiety and trust in AI, providing a nuanced understanding of how these perceptions shape the public's engagement with AI. The first study, conducted in the United Kingdom, explores the primary sources of public anxiety related to AI. It focuses on key concerns such as job security, the pace of technological change, and the extent of control exercised by businesses and governments over AI development. Through a mixed-methods approach, including a survey of 867 participants and 53 semi- structured interviews, the study reveals that anxieties are significantly shaped by demographic factors such as age, education, and employment status. Older individuals and those with lower levels of education express greater concern about job displacement and the speed of AI adoption. The second study broadens the scope by examining the motivators behind trust in AI across multiple countries, including the United States, United Kingdom, Germany, and Switzerland. This study investigates how demographic characteristics influence trust levels and compares trust in AI to trust in human judgment in various decision-making contexts. Utilising a survey of 1,389 participants and employing Structural Equation Modelling (SEM), the study identifies key predictors of trust, including perceptions of AI’s neutrality, accuracy, and transparency. The findings highlight the importance of cultural sensitivity and ethical considerations in the development and deployment of AI systems. Together, these studies underscore the need for transparent, explainable, and ethically aligned AI systems to build public trust and mitigate societal anxieties. The implications for AI developers and policymakers are profound, suggesting that targeted education, public engagement, and culturally sensitive deployment strategies are essential for fostering a more informed and trusting relationship between society and AI. By addressing these concerns, the path to a more harmonious integration of AI into everyday life can be paved, ensuring that AI's benefits are fully realised while minimising potential risks. Keywords: AI, Artificial Intelligence, Trust, Anxieties, social anxiety, AI and Human Interaction