Public Perception of AI: A Review

This review gives designers deeper insights into public perceptions of artificial intelligence (AI). Ethical complexities surround AI, including privacy concerns, social deployment, and nonhuman decision-making. This project included English-language, peer-reviewed surveys and reviews published within the past five years. It also conducts topic modeling of one year's worth of social media data. Data were gathered from various academic databases and social media platforms and analyzed with topic modeling and sentiment analysis to provide external validation of insights into public sentiment and attitudes towards AI. Surveys and reviews worldwide revealed an understanding of AI concepts and positive sentiment toward AI integration in healthcare. Concerns persisted regarding data privacy, safety, and AI's impact on employment. Individual factors like age and education influence attitudes. Reviews mirrored survey findings with safety concerns about autonomous vehicles and calls for collaboration and regulation in clinical AI implementation. Social media discussions delved into AI's ethical, market, and policy implications, but Quora leaned more positively and Reddit more speculatively. Reviews, surveys, and social media provide insights into global attitudes toward AI, highlighting widespread understanding but persistent concerns. Collaboration, regulation, and ongoing education are essential for responsible AI integration across domains and regions to address privacy, security, and ethical concerns. Designers must prioritize transparency, accountability, and human-centered design to build trust and address public apprehensions.