AI and the Human Mind: Our Third Brain?

AI and the Human Mind: Our Third Brain? [1]

 By Jan Kuyper Erland

 

Recently, having completed my 5-generational researched and developed puppetry film project, it is prudent to discuss the threat of Artificial Intelligence (AI) and how it might mimic The Bridge to Achievement’s (BTA) layered components effectively.

The Irony of The Bridge to Achievement’s lengthy project: How AI mechanical images and sound may affect any completed project output in unknown objectionable ways, yet could have assisted greatly with the long, arduous writing and procedural details process. [2]

Comparing our own vocal/musical sounds compared with Open AI mechanical sounds

 The mechanical written sentences and vocals can be easily captured through ChatGPT. Pitch, rhythm, and pace could be copied easily by AI; but intonation and emotional expression is questionable. Attitudes may be hidden.

Subsequently, unique talent can become difficult to imitate fully. The inner personality is not like the original spirit. Specialized talent’s feelings and nuances become  difficult to convey mechanically.

Spoken and musical phrasing is unique to the speaker’s voice. It can be interpreted a special way according to the mental rhythm of the intoned speech. Two singer’s or actor’s voices may replicate sound through AI similarly, but the replication would not create the same layered tonal quality, sensation, through emotional, meaningful intent.

 AI versus Human Language Considerations

For example, prosody and phonological awareness has adapted mechanical sound variations by Siri chat and in various listening pathology treatments for simple, direct communicative value. Yet, the BTA offers multiple, complex, dramatic looping variations for upskilling capabilities uniquely and artistically. 

 AI Written Work Productivity

CEOs are bombarded with tech app requests to streamline written work procedures and project demands with AI. Unfortunately, there are multiple constraints: algorithms take time to develop, are costly to build as each factor has variables. To complicate the situation, there are few data scientists available to fill the roles, let alone convey reasonable expectations and outcomes.

That being said, how will the written sentence convey consistent, intended messaging with logic and reasoning?  Unfortunately, ChatGBT platforms can convey misinformation leading to a myriad of personal and legal entanglements. This aspect will be determined in written evaluative discourse within future data outcomes.

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[1]  Hao, J, Cutter, C., and Morenne, B, (February 20, 2023). From CEOs to Coders, Employees Experiment with New AI Programs. New York, NY, The Wall Street Journal. TECH. pp.1-7.

[2] Erland, J. K. (© 2008). Downloadable, unpublished report. Five Generations, 27-years of iterative Brain-Based Accelerative Learning Experimentation Demonstrate Cognitive Skill Improvement Enhances Academic and Career Goals. (https://memspan/jalt).