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User:George7236/Applications of artificial intelligence/Bibliography

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This is the current revision of this page, as edited by George7236 (talk | contribs) at 01:03, 6 December 2024 (Outline of proposed changes). The present address (URL) is a permanent link to this version.

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You will be compiling your bibliography and creating an outline of the changes you will make in this sandbox.


Bibliography

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Russell, S. J., & Norvig, P. (2016). Artificial intelligence a modern approach Stuart J. Russell and Peter Norvig ; contributing writers: Ernest Davis, Douglas D. Edwards und 6 andere. Pearson Pearson.

  • Stuart J. Russell and Peter Norvig are the leading researchers in AI in the world, with this book being used in over 1500 universities and 135 countries

Finio, M., & Downie, A. (2024, September 3). What is Artificial Intelligence in Finance?. IBM. https://www.ibm.com/topics/artificial-intelligence-finance

  • IBM is one of the oldest tech companies in the U.S. with a strong history of innovation. It combines tech and know-how to offer tools, software, and advice, helping businesses adapt to the digital world and handle important operations, like in this article, going in depth about AI in business.  

Palermo, F. (2024, November 14). Can ai-powered search engines disrupt Google’s Monopoly? CMSWire.com. https://www.cmswire.com/digital-experience/will-ai-powered-search-engines-ultimately-end-traditional-search/

  • Frank Palermo has over 22 years of experience in technology leadership, working with diverse technical products and platforms. He is highly skilled in managing global teams and overseeing large-scale, transformational application and product development initiatives.

Irwin, M. (n.d.). 11 top AI search engines to know. Built In. https://builtin.com/articles/ai-search-engine

  • Matthew Urwin is a staff reporter for Built In's editorial team. His writing portfolio includes work for The HOTH, BKA Content, and Cox Automotive, where he has covered topics such as solar energy, automotive repairs, business technology, and more. He holds a degree in English Literature with minors in Professional Writing and Comparative Studies from Ohio State University.

References

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Outline of proposed changes

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I. Introduction

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  1. Enhance Definition and Context:
    • Provide a concise, up-to-date definition of AI applications.
    • Briefly introduce the importance and scope of AI applications across industries.
  2. Improve Readability:
    • Simplify jargon for a general audience while maintaining technical accuracy.

II. Structure and Organization

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  1. Revise Section Layout:
    • Ensure sections are logically ordered, e.g., historical overview → current applications → future trends.
    • Create clear distinctions between technical fields, industries, and societal impacts.
  2. Add a Table of Contents Overview:
    • Include subsections for each application to improve navigation (e.g., healthcare, finance, entertainment).

III. Content Updates

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  1. Expand Current Sections:
    • Add recent advancements in AI, examples being generative AI, ChatGPT, autonomous vehicles.
    • Include emerging applications like quantum AI and ethical AI practices.
  2. Cite New Examples:
    • Highlight recent case studies or real-world deployments in each application area.
  3. Integrate Global Perspectives:
    • Broaden examples to include developments in Asia, Africa, and Latin America.

IV. Enhance Sources and Citations

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  1. Replace Outdated References:
    • Verify the age and relevance of existing sources.
    • Include academic research, industry reports, and credible news articles from 2020 onward.
  2. Add Missing Citations:
    • Check for unsourced claims and provide proper attribution.

V. Address Coverage Gaps

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  1. Include More Applications:
    • Address underrepresented areas, such as AI in sustainability, agriculture, and disaster response.
  2. Discuss Limitations and Risks:
    • Provide a balanced view by exploring challenges like bias, ethical concerns, and regulatory issues.

VI. Improve Visuals and Formatting

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  1. Add Data Visualizations:
    • Include charts, graphs, and infographics to explain AI applications more effectively.
  2. Optimize for Accessibility:
    • Ensure all images have alt text and are compliant with accessibility standards.

VII. Future Directions

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  1. Incorporate AI Trends:
    • Discuss future trends like AI in climate change, neuromorphic computing, and AI-driven policymaking.
  2. Link to Related Articles:
    • Provide links to other Wikipedia articles for deeper exploration

VIII. Cross-Verification and Peer Review

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  1. Invite Expert Contributions:
    • Encourage contributions from AI researchers and industry professionals to ensure accuracy.
  2. Conduct Fact-Checking:
    • Cross-check all content with reliable primary sources and peer-reviewed publications.

Click on the edit button to draft your outline.