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Source Evaluation Worksheet

Part I: Topic: Artificial Intelligence

The term ‘artificial intelligence’ (AI) refers to the ability of machines to mimic human intelligence. Artificial intelligence’s purpose is to use computer power to enhance perception, cognitive ability and learning. AI is currently being used across industries such as healthcare and finance. AI-driven algorithms reduce the time spent on data processing and thus minimize human errors. Such algorithms manage large datasets effectively, exhibiting hidden trends and patterns that could otherwise be neglected.

Part II: Source Evaluation

Article Title: The Impact of Artificial Intelligence on Human Society and Bioethics

Article Author(s): Michael Cheng-Tek Tai

Retrieval Information: https://doi.org/10.4103%2Ftcmj.tcmj_71_20

Source’s Publication Date: August 14, 2020

Publishing Information: Taiwan Journal of Medical Sciences

Source Summary: In this article, the impacts of AI on human civilization, economy, and bioethics are explored. It explores the positive effects of AI, social impacts, and principles for AI bioethics as a guide to the responsible development and deployment of AI.

Article Title: Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review

Article Author(s): Nikolaos-Alexandros Perifanis and Fotis Kitsios

Retrieval Information: https://doi.org/10.3390/info14020085

Source’s Publication Date: Published: 2 February 2023

Publishing Information: Published in Information Journal, Volume 14, Issue 2

Source Summary: Literature review examines AI's impact on business value in digital transformation. Analyzing 139 articles, it underscores AI's benefits, success factors, and challenges, stressing integration into business and IT strategies for enhanced value streams.

Article Title: The transformative potential of artificial intelligence

Article Author(s): Ross Gruetzemacher, Jess Whittlestone

Retrieval Information: https://doi.org/10.1016/j.futures.2021.102884

Source’s Publication Date: December 17, 2021

Publishing Information: Published in the journal "Futures"

Source Summary: The article introduces transformative artificial intelligence (TAI), categorizing it into three levels: radically transformative AI, transformative AI, and narrowly transformative AI. It examines their societal implications, advocating for clearer definitions to enhance discussions and research on advanced AI's societal impacts.

Article Title: Advancements in AI Algorithm Research for IoT Systems on Intelligent Production Lines

Article Author(s): He Shi, Guohua Cao, Guoqing Ma, Jingsong Duan, Jimeng Bai, Xiangyin Meng

Retrieval Information: https://doi.org/10.1155%2F2022%2F3283165

Source’s Publication Date: March 10, 2022

Publishing Information: Computational Intelligence and Neuroscience

Source Summary: This article explores recent developments in AI algorithms for big data processing within IoT systems on intelligent production lines. It discusses the integration of IoT systems, emphasizing improved information exchange and resource utilization. Additionally, the article proposes a metadata replication method and a neural network-based system for predicting the network state of intelligent production lines, showcasing their effectiveness through experimental results.

Title: "The Impact of Artificial Intelligence and Machine Learning on Addressing COVID-19 Challenges"

Author: David Mhlanga

Retrieval Information: https://doi.org/10.3390/ijerph19031879

Publication Date: February 8, 2022

Publishing Information: International Journal of Environmental Research and Public Health, Volume 19, Issue 3, Page 1879

Summary: This article examines the significant role played by artificial intelligence and machine learning in addressing the challenges posed by the COVID-19 pandemic. It highlights their contributions in various aspects, such as scaling customer communications, understanding virus spread, and accelerating research and treatment efforts.

Source Evaluation | 3