AI and the Quest of Trustworthy Information

Abstract. Artificial Intelligence (AI) is revolutionizing the sectors of medicine and media by improving productivity, precision, and customization. AI is revolutionizing the development, distribution, and consumption of material in the media while also being essential in information verification and moderation. AI in medicine enhances clinical processes, personalizes patient care, and increases diagnostic accuracy. But these developments also bring with them new difficulties, including preserving media originality and guaranteeing the accuracy and openness of AI-generated insights in the medical field. In order to comprehend their impact on content creation and information distribution, this article investigates the approaches and uses of AI, such as Generative Adversarial Networks (GANs) and the Information Adoption Model (IAM). In media, AI automates video editing, content moderation, and tailored recommendations, while in healthcare, it enhances diagnostic accuracy, personalizes care, and simplifies clinical operations. The article also discusses issues like biases, the necessity of human oversight, and data privacy, highlighting how crucial it is to create AI systems that are both morally and practically sound.

Authors

Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-26
DOI
https://doi.org/10.54254/2755-2721/109/20241173
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.53
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article

AI and the Quest of Trustworthy Information

Bo-Cheng Charles Lai
1 citations
Applied and Computational Engineering
Ethics and Social Impacts of AI
0.53
article

AI and the Quest of Trustworthy Information

Bo-Cheng Charles Lai
article en
1 citations

Abstract

Abstract. Artificial Intelligence (AI) is revolutionizing the sectors of medicine and media by improving productivity, precision, and customization. AI is revolutionizing the development, distribution, and consumption of material in the media while also being essential in information verification and moderation. AI in medicine enhances clinical processes, personalizes patient care, and increases diagnostic accuracy. But these developments also bring with them new difficulties, including preserving media originality and guaranteeing the accuracy and openness of AI-generated insights in the medical field. In order to comprehend their impact on content creation and information distribution, this article investigates the approaches and uses of AI, such as Generative Adversarial Networks (GANs) and the Information Adoption Model (IAM). In media, AI automates video editing, content moderation, and tailored recommendations, while in healthcare, it enhances diagnostic accuracy, personalizes care, and simplifies clinical operations. The article also discusses issues like biases, the necessity of human oversight, and data privacy, highlighting how crucial it is to create AI systems that are both morally and practically sound.

Applied and Computational EngineeringVol. 109(1)
Decent work and economic growth
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
0.53
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AI and the Quest of Trustworthy Information — Bo-Cheng Charles Lai · Applied and Computational Engineering (2024) | TGRS Research Map | TGRS