The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias

Tung Cu

doi:doi:10.11648/j.ijiis.20231203.11

Research Article |

| Peer-Reviewed

The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias

Tung Cu

Published in International Journal of Intelligent Information Systems (Volume 12, Issue 3)

Received: 28 September 2023 Accepted: 23 October 2023 Published: 9 November 2023

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

AI-enhanced search engines, characterized by their conversational nature, are reshaping human-computer interactions, offering a richer information exchange, transitioning from a dictionary to wisdom. This paper dives deeper into the integration of generative AI, especially the Generative Pretrained Transformer (GPT) technology, in search engines, investigating its algorithm, benefits, and strategies to mitigate its limitations and bias. To this end, the paper connects the dots from the beginning of transistor discovery to the dawn of OpenAI under the Moore’s law to drive costs and accumulate wealth. To explain the context, the paper presents a timeline of the development of search engines from Archie to Yahoo!, to Google, and to Bing. The early search engine “Archie” could only do an arranging task to archive information like a dictionary, while such advanced search engines as Google and Bing being integrated with GPT, a generative AI product, can do a much more sophisticated job usually required expertise or wisdom. Addressing the challenges posed by generative AI requires a collaborative effort encompassing technologists, policymakers, and the public. As we go on board with this AI-infused journey, it’s crucial to approach with awareness, ensuring its contributions benefit society, economy, and individual lives. Despite concerns of a dystopian AI-future, the author remains hopeful about leveraging AI to enhance global prosperity and freedom.

Published in	International Journal of Intelligent Information Systems (Volume 12, Issue 3)
DOI	10.11648/j.ijiis.20231203.11
Page(s)	39-48
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Search Engine, Generative AI, OpenAI, Conversational Agent, ChatGPT, Large Language Models

References

[1]	Yuniarthe, Y. (2017). Application of Artificial Intelligence (AI) in Search Engine Optimization (SEO). in 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT). IEEE.
[2]	Volle, A. (2023). Search Engine. Encyclopædia Britannica.
[3]	McCabe, B. (2022). How Open AI Is Disrupting the Search Engine Industry and Putting Companies on Red Alert.
[4]	Hall, M. and Zachary, G. (2023). Microsoft Corporation. Encyclopædia Britannica.
[5]	Hall, M. and Hosch, W. (2023). Google. Encyclopædia Britannica.
[6]	Copeland, B. (2023). Artificial Intelligence. Encyclopædia Britannica.
[7]	Dale, R. (2021). GPT-3: What’s It Good For? Natural Language Engineering, 27(1): p. 113-118.
[8]	Elias, J. (2023). Google Is Asking Employees to Test Potential ChatGPT Competitors, Including a Chatbot Called ‘Apprentice Bard’.
[9]	Gurdeniz, E. and Hosanagar, K. (2023). Generative AI Won't Revolutionize Search -- Yet: There Are Major Practical, Technical, and Legal Challenges to Overcome Before Tools Like ChatGPT Reach the Scale, Robustness, and Reliability of Google. Harvard Business Review: p. 1-9.
[10]	Moore, G. (1965). Moore’s Law. Electronics Magazine, 38(8): p. 114.
[11]	Altman, S. (2021). Moore’s Law for Everything. Available from: https://moores.samaltman.com.
[12]	Hashemi-Pour, C. (2023). What Is OpenAI? Definition and History from TechTarget. Enterprise AI.
[13]	Ng, A. (2016). What Artificial Intelligence Can and Can’t Do Right Now. Harvard Business Review, 9(11): p. 1-4.
[14]	Gonfalonieri, A. (2019). What Is an AI Algorithm. What Makes the Difference Between a Regular Algorithm and a Machine Learning Algorithm; Available from: https://medium.com/predict/what-is-an-ai-algorithm-aceeab80e7e3.
[15]	Konar, A. (2018). Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain. CRC Press.
[16]	Editors. (2021). 10 Breakthrough Technologies 2021. MIT Technology Review.
[17]	Eke, D. (2023). ChatGPT and The Rise of Generative AI: Threat to Academic Integrity? Journal of Responsible Technology, 13: p. 100060 DOI: https://doi.org/10.1016/j.jrt.2023.100060.
[18]	Chui, M., Manyika, J., and Miremadi, M. (2018). What AI Can and Can’t Do (Yet) for Your Business. McKinsey Quarterly, 1(97-108): p. 1.

Cite This Article

Plain Text BibTeX RIS

APA Style

Cu, T. (2023). The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias. International Journal of Intelligent Information Systems, 12(3), 39-48. https://doi.org/10.11648/j.ijiis.20231203.11

Copy | Download

ACS Style

Cu, T. The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias. Int. J. Intell. Inf. Syst. 2023, 12(3), 39-48. doi: 10.11648/j.ijiis.20231203.11

Copy | Download

AMA Style

Cu T. The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias. Int J Intell Inf Syst. 2023;12(3):39-48. doi: 10.11648/j.ijiis.20231203.11

Copy | Download

@article{10.11648/j.ijiis.20231203.11,
  author = {Tung Cu},
  title = {The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias},
  journal = {International Journal of Intelligent Information Systems},
  volume = {12},
  number = {3},
  pages = {39-48},
  doi = {10.11648/j.ijiis.20231203.11},
  url = {https://doi.org/10.11648/j.ijiis.20231203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20231203.11},
  abstract = {AI-enhanced search engines, characterized by their conversational nature, are reshaping human-computer interactions, offering a richer information exchange, transitioning from a dictionary to wisdom. This paper dives deeper into the integration of generative AI, especially the Generative Pretrained Transformer (GPT) technology, in search engines, investigating its algorithm, benefits, and strategies to mitigate its limitations and bias. To this end, the paper connects the dots from the beginning of transistor discovery to the dawn of OpenAI under the Moore’s law to drive costs and accumulate wealth. To explain the context, the paper presents a timeline of the development of search engines from Archie to Yahoo!, to Google, and to Bing. The early search engine “Archie” could only do an arranging task to archive information like a dictionary, while such advanced search engines as Google and Bing being integrated with GPT, a generative AI product, can do a much more sophisticated job usually required expertise or wisdom. Addressing the challenges posed by generative AI requires a collaborative effort encompassing technologists, policymakers, and the public. As we go on board with this AI-infused journey, it’s crucial to approach with awareness, ensuring its contributions benefit society, economy, and individual lives. Despite concerns of a dystopian AI-future, the author remains hopeful about leveraging AI to enhance global prosperity and freedom.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias
AU  - Tung Cu
Y1  - 2023/11/09
PY  - 2023
N1  - https://doi.org/10.11648/j.ijiis.20231203.11
DO  - 10.11648/j.ijiis.20231203.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 39
EP  - 48
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20231203.11
AB  - AI-enhanced search engines, characterized by their conversational nature, are reshaping human-computer interactions, offering a richer information exchange, transitioning from a dictionary to wisdom. This paper dives deeper into the integration of generative AI, especially the Generative Pretrained Transformer (GPT) technology, in search engines, investigating its algorithm, benefits, and strategies to mitigate its limitations and bias. To this end, the paper connects the dots from the beginning of transistor discovery to the dawn of OpenAI under the Moore’s law to drive costs and accumulate wealth. To explain the context, the paper presents a timeline of the development of search engines from Archie to Yahoo!, to Google, and to Bing. The early search engine “Archie” could only do an arranging task to archive information like a dictionary, while such advanced search engines as Google and Bing being integrated with GPT, a generative AI product, can do a much more sophisticated job usually required expertise or wisdom. Addressing the challenges posed by generative AI requires a collaborative effort encompassing technologists, policymakers, and the public. As we go on board with this AI-infused journey, it’s crucial to approach with awareness, ensuring its contributions benefit society, economy, and individual lives. Despite concerns of a dystopian AI-future, the author remains hopeful about leveraging AI to enhance global prosperity and freedom.

VL  - 12
IS  - 3
ER  -

Copy | Download

Author Information

Tung Cu

College of Business and Technology, Northeastern Illinois University, Chicago, USA

Contact Email

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Cu, T. (2023). The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias. International Journal of Intelligent Information Systems, 12(3), 39-48. https://doi.org/10.11648/j.ijiis.20231203.11

Copy | Download

ACS Style

Cu, T. The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias. Int. J. Intell. Inf. Syst. 2023, 12(3), 39-48. doi: 10.11648/j.ijiis.20231203.11

Copy | Download

AMA Style

Cu T. The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias. Int J Intell Inf Syst. 2023;12(3):39-48. doi: 10.11648/j.ijiis.20231203.11

Copy | Download

@article{10.11648/j.ijiis.20231203.11,
  author = {Tung Cu},
  title = {The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias},
  journal = {International Journal of Intelligent Information Systems},
  volume = {12},
  number = {3},
  pages = {39-48},
  doi = {10.11648/j.ijiis.20231203.11},
  url = {https://doi.org/10.11648/j.ijiis.20231203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20231203.11},
  abstract = {AI-enhanced search engines, characterized by their conversational nature, are reshaping human-computer interactions, offering a richer information exchange, transitioning from a dictionary to wisdom. This paper dives deeper into the integration of generative AI, especially the Generative Pretrained Transformer (GPT) technology, in search engines, investigating its algorithm, benefits, and strategies to mitigate its limitations and bias. To this end, the paper connects the dots from the beginning of transistor discovery to the dawn of OpenAI under the Moore’s law to drive costs and accumulate wealth. To explain the context, the paper presents a timeline of the development of search engines from Archie to Yahoo!, to Google, and to Bing. The early search engine “Archie” could only do an arranging task to archive information like a dictionary, while such advanced search engines as Google and Bing being integrated with GPT, a generative AI product, can do a much more sophisticated job usually required expertise or wisdom. Addressing the challenges posed by generative AI requires a collaborative effort encompassing technologists, policymakers, and the public. As we go on board with this AI-infused journey, it’s crucial to approach with awareness, ensuring its contributions benefit society, economy, and individual lives. Despite concerns of a dystopian AI-future, the author remains hopeful about leveraging AI to enhance global prosperity and freedom.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - The Power of AI-Enhanced Search: Some Discussions on Its Benefits, Limitations and Bias
AU  - Tung Cu
Y1  - 2023/11/09
PY  - 2023
N1  - https://doi.org/10.11648/j.ijiis.20231203.11
DO  - 10.11648/j.ijiis.20231203.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 39
EP  - 48
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20231203.11
AB  - AI-enhanced search engines, characterized by their conversational nature, are reshaping human-computer interactions, offering a richer information exchange, transitioning from a dictionary to wisdom. This paper dives deeper into the integration of generative AI, especially the Generative Pretrained Transformer (GPT) technology, in search engines, investigating its algorithm, benefits, and strategies to mitigate its limitations and bias. To this end, the paper connects the dots from the beginning of transistor discovery to the dawn of OpenAI under the Moore’s law to drive costs and accumulate wealth. To explain the context, the paper presents a timeline of the development of search engines from Archie to Yahoo!, to Google, and to Bing. The early search engine “Archie” could only do an arranging task to archive information like a dictionary, while such advanced search engines as Google and Bing being integrated with GPT, a generative AI product, can do a much more sophisticated job usually required expertise or wisdom. Addressing the challenges posed by generative AI requires a collaborative effort encompassing technologists, policymakers, and the public. As we go on board with this AI-infused journey, it’s crucial to approach with awareness, ensuring its contributions benefit society, economy, and individual lives. Despite concerns of a dystopian AI-future, the author remains hopeful about leveraging AI to enhance global prosperity and freedom.

VL  - 12
IS  - 3
ER  -

Copy | Download