{"id":279000,"date":"2025-03-06T08:11:11","date_gmt":"2025-03-06T07:11:11","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/public-trust-en\/"},"modified":"2025-03-11T16:54:29","modified_gmt":"2025-03-11T15:54:29","slug":"public-trust-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/public-trust-en\/","title":{"rendered":"Public trust"},"content":{"rendered":"<p>Description: Public trust refers to the perception and belief that society has in institutions, organizations, and technologies, especially in the context of artificial intelligence (AI). This trust is fundamental for the acceptance and adoption of emerging technologies, as it influences how individuals and communities interact with these tools. Public trust is built through transparency, ethics, and accountability in the development and use of AI. When people feel that institutions act fairly and responsibly, they are more likely to accept and use AI-based technologies. Conversely, distrust can lead to resistance and rejection of these technologies, which can hinder their implementation and development. Public trust is also related to the perception of biases in AI systems, as users&#8217; trust will be eroded if they believe a technology is unfair or discriminatory. In summary, public trust is an essential component in the relationship between society and technology, and its maintenance requires a continuous commitment to ethics and equity in the development of artificial intelligence.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Public trust refers to the perception and belief that society has in institutions, organizations, and technologies, especially in the context of artificial intelligence (AI). This trust is fundamental for the acceptance and adoption of emerging technologies, as it influences how individuals and communities interact with these tools. Public trust is built through transparency, ethics, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[],"glossary-tags":[],"glossary-languages":[],"class_list":["post-279000","glossary","type-glossary","status-publish","hentry"],"post_title":"Public trust ","post_content":"Description: Public trust refers to the perception and belief that society has in institutions, organizations, and technologies, especially in the context of artificial intelligence (AI). This trust is fundamental for the acceptance and adoption of emerging technologies, as it influences how individuals and communities interact with these tools. Public trust is built through transparency, ethics, and accountability in the development and use of AI. When people feel that institutions act fairly and responsibly, they are more likely to accept and use AI-based technologies. Conversely, distrust can lead to resistance and rejection of these technologies, which can hinder their implementation and development. Public trust is also related to the perception of biases in AI systems, as users' trust will be eroded if they believe a technology is unfair or discriminatory. In summary, public trust is an essential component in the relationship between society and technology, and its maintenance requires a continuous commitment to ethics and equity in the development of artificial intelligence.","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Public trust - Glosarix<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/glosarix.com\/en\/glossary\/public-trust-en\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Public trust - Glosarix\" \/>\n<meta property=\"og:description\" content=\"Description: Public trust refers to the perception and belief that society has in institutions, organizations, and technologies, especially in the context of artificial intelligence (AI). 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