KPMG - Trust in AI 2023

The "Trust in Artificial Intelligence: A Global Study" report provides comprehensive insights into the public's trust and acceptance of AI systems on a global scale. The study explores various aspects, including who is trusted to develop, use, and govern AI, the perceived benefits and risks of AI use, community expectations of AI development, regulation, and governance, and how organizations can support trust in their AI use. One of the key findings of the study is the identification of several factors influencing trust in artificial intelligence. These factors include knowledge and understanding of AI, risk mitigation through privacy protection and human oversight, institutional safeguards such as regulations and monitoring mechanisms, and demonstrating the benefits of AI to people and society. While the report does not explicitly mention the specific concerns expressed by respondents regarding the use of AI, it does indicate that qualitative data was collected to complement the quantitative findings. This comprehensive approach ensures a deeper understanding of the concerns related to AI. The research methodology employed in the study involved a combination of quantitative and qualitative approaches. The quantitative data was collected through a global survey, while the qualitative data was obtained through thematic analysis and word cloud analysis. This mixed-method approach provides a robust and holistic understanding of trust in AI. The findings of this study have important implications for the future development and adoption of artificial intelligence. They highlight the need for increased knowledge and understanding of AI among the public, the importance of privacy protection and human oversight in AI systems, the role of regulations and governance mechanisms to build trust, and the significance of demonstrating the benefits of AI to society. In conclusion, the "Trust in Artificial Intelligence: A Global Study" report offers valuable insights into the factors influencing trust in AI and provides recommendations for organizations and policymakers to foster trust in AI systems.