Critique of ChatGPT DIKW output

Concerning DIKW and the data from example (3.1) [1]. Without human processing, the statements can be considered a set of singly-linked lists of symbols, therefore, the data [3][4]. 

The data produces the following information after an initial conversion [3][4]. Further processing of the logical statements is possible.

• 17-year-old ^ greater than 180 -> obese
• 17-year-old ^ greater than 180 -> risk of heart disease
• Tom -> 17-year-old ^ greater than 180 
• Tom ->  worries about weight
• Tom -> decreased appetite 
• Tom -> know about obesity
• Tom -> know about weight loss training 
• Enrol in weight loss training -> know about weight loss training
• Enrol in weight loss training -> NOT obese
• Tom -> wants to go to the hospital

The information establishes that Tom is obese, has a risk of heart disease, worries about weight, has a decreased appetite, knows about obesity, knows about weight loss training, and wants to go to the hospital.  The information row from the ChatGPT [2] establishes the information. 

Does ChatGPT provide knowledge from the information? 

The knowledge row [2] provides information in the following statements:

“Obesity increases the risk of heart disease”

“The weight loss training class is not suitable for Tom as he is considered obese”

These statements can be derived from processing the initial information and are not knowledge [6][7]. The columns do provide actionable knowledge.

ChatGPT did provide some words of wisdom, "knowing the right things to do” [7] by providing the statements “Maintaining a healthy weight is important for reducing the risk of heart disease” and “Making informed choices about weight management can improve health outcomes” [2]. 

References:

[1] Li, Y., & Duan, Y. (2023). The Wisdom of Artificial General Intelligence: Experiments with GPT-4 for DIKWP. arXiv preprint.

[2] ChatGPT, personal communication, May 4, 2023

[3] Ackoff, R. L., "From Data to Wisdom", Journal of Applies Systems Analysis, Volume 16, 1989 p 3-9

[4] http://www.systems-thinking.org/dikw/dikw.htm

[5] http://www.spreadingscience.com/our-approach/diffusion-of-innovations-in-a-community/1-the-dikw-model-of-innovation/

[6] https://en.wikipedia.org/wiki/Tacit_knowledge

[7] https://en.wikipedia.org/wiki/DIKW 

I love this! Excellent use of the technology and wonderful philosophical questions, Eugene.