Rainbow, Billiards, and Neng: A Conversation with Meriel on Algorithms, Bias, and the Chief Humanity Officer

12 Pages Posted: 20 Apr 2026

See all articles by Kian Tik Go

Kian Tik Go

affiliation not provided to SSRN

Date Written: March 12, 2026

Abstract

This document records a philosophical and technical dialogue between Go Kian Tik and Meriel B., an AI Ethics Researcher, on the nature of algorithmic bias, epistemic blindness, and the observer effect in social media feeds. Triggered by Meriel's sharing of the Lucy Ferguson experiment on gender bias, the conversation unfolds into deeper questions: "How do we know what we don't see?" and "Does our interaction with algorithms change future outcomes?" This paper presents Koko's complete answer, which synthesizes three metaphors into a unified framework: the Rainbow Spectrum of Opportunity (what is visible versus what exists), the Billiard Probability Table (the chaotic, probabilistic nature of algorithmic outcomes), and the Taoist concept of Neng (能) from the 12 Principles of Tao Zhu Gong (the human capacity to choose, act, and determine). These three are integrated into the Grand Formula: (Consciousness × Calculation)^Humanity < Transcendence, demonstrating how a Chief Humanity Officer thinks not in linear answers but in integrated possibilities. The paper concludes by linking this trinity to the concept of Sovereignty (Zi Zhu Zhe / 自主者)-the one who leads oneself by integrating awareness, probability-reading, and decisive action.

Note: An Indonesian language edition of this paper is available via Zenodo: https://doi.org/10.5281/zenodo.18935892

Keywords: Chief Humanity Officer, algorithmic bias, epistemic blindness, observer effect, Rainbow Spectrum, Billiard Probability, Neng (能), Tao Zhu Gong, Zi Zhu Zhe, 自主者, Grand Formula, Consciousness × Calculation, human-AI collaboration, LinkedIn algorithm, gender bias

Suggested Citation

Go, Kian Tik, Rainbow, Billiards, and Neng: A Conversation with Meriel on Algorithms, Bias, and the Chief Humanity Officer (March 12, 2026). Available at SSRN: https://ssrn.com/abstract=6428019 or http://dx.doi.org/10.2139/ssrn.6428019

Kian Tik Go (Contact Author)

affiliation not provided to SSRN

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
6
Abstract Views
42
PlumX Metrics