{"id":843,"date":"2024-10-22T10:36:50","date_gmt":"2024-10-22T09:36:50","guid":{"rendered":"https:\/\/latifproject.eu\/?p=843"},"modified":"2024-10-22T10:37:21","modified_gmt":"2024-10-22T09:37:21","slug":"strengthening-impartiality-for-the-fact-checking","status":"publish","type":"post","link":"https:\/\/latifproject.eu\/it\/repository\/strengthening-impartiality-for-the-fact-checking\/","title":{"rendered":"Strengthening impartiality for the fact-checking"},"content":{"rendered":"<p>The role of Artificial Intelligence (AI) in combating misinformation is evolving rapidly. AI systems have the capacity to streamline fact-checking operations and counter disinformation, but they also present risks, especially in terms of bias and transparency. As AI becomes increasingly integrated into the media sector, questions around governance and regulation become critical.<\/p>\n\n\n\n<p>The LATIF project uses the Analysis of Competing Hypotheses (ACH) methodology to mitigate these issues, providing tools to enhance impartiality in fact-checking. This policy brief will explore the implications of AI governance, with a particular focus on the EU AI Act, global best practices, regulatory gaps, and the ethical responsibilities involved in the development and deployment of AI in media.<\/p>\n\n\n\n<p>Read&nbsp;<a href=\"https:\/\/latifproject.eu\/wp-content\/uploads\/2024\/10\/LATIF-Policy-Brief-v02_compressed.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Here<\/a>&nbsp;the Policy Brief<\/p>\n\n\n\n<p>Authors:&nbsp;<strong><strong>S. CUSTURERI, S. DE ROSA, A. NICOLAI, T6 ECOSYSTEMS<\/strong><\/strong><br><strong><strong>INFO@T-6.IT<\/strong><\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>The role of Artificial Intelligence (AI) in combating misinformation is evolving rapidly. AI systems have the capacity to streamline fact-checking operations and counter disinformation, but they also present risks, especially in terms of bias and transparency. As AI becomes increasingly integrated into the media sector, questions around governance and regulation become critical. The LATIF project [&hellip;]<\/p>","protected":false},"author":7,"featured_media":845,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Strengthening impartiality for the fact-checking - LATIF<\/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:\/\/latifproject.eu\/it\/repository\/strengthening-impartiality-for-the-fact-checking\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Strengthening impartiality for the fact-checking - LATIF\" \/>\n<meta property=\"og:description\" content=\"The role of Artificial Intelligence (AI) in combating misinformation is evolving rapidly. AI systems have the capacity to streamline fact-checking operations and counter disinformation, but they also present risks, especially in terms of bias and transparency. As AI becomes increasingly integrated into the media sector, questions around governance and regulation become critical. 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