Fidál, 12 ‘Ilm (Knowledge), 183 B.E.
Quotes for Reflection
Consider the pettiness of men’s minds. They ask for that which injureth them, and cast away the thing that profiteth them. They are, indeed, of those that are far astray. We find some men desiring liberty, and priding themselves therein. Such men are in the depths of ignorance.
Liberty must, in the end, lead to sedition, whose flames none can quench. Thus warneth you He Who is the Reckoner, the All-Knowing. Know ye that the embodiment of liberty and its symbol is the animal. That which beseemeth man is submission unto such restraints as will protect him from his own ignorance, and guard him against the harm of the mischief-maker. Liberty causeth man to overstep the bounds of propriety, and to infringe on the dignity of his station. It debaseth him to the level of extreme depravity and wickedness.— Bahá’u’lláh [1]
Question for Consideration
How does the collective behavior of AI agents when solving problems and answering questions compare with the collective behavior of humans when making decisions within a culture of Bahá’í consultation? [2] [3]
Perplexity Computer Response: AI and Bahá’í Consultation
I have everything I need — recent empirical studies on multi-agent AI behavior and authoritative sources on consultation. Here’s the comparison.
Side-by-Side
| Dimension | AI agent collectives | Bahá’í consultation |
| Purpose | An accurate or useful output; success is benchmark performance [4] | Truth-seeking plus unity, legitimate shared decisions, and the development of the participants themselves [5] |
| Diversity | Often assigned personas over a shared base model — correlated errors above 60%; [6] gains come only from genuine heterogeneity [7] [8] | Lived diversity of experience and viewpoint, treated as inseparable from the unity of the group [5] |
| Detachment | No ego to wound, but “sycophancy”: agents abandon correct answers to agree with peers [9] | Detachment is a cultivated discipline — surrendering attachment to one’s own opinions without surrendering frankness [10] [14] |
| Agreement | Convergence can be mere social compliance or confabulation consensus, and fluent consensus is treated as a reliability signal when it shouldn’t be [11] | Consensus is sought but not forced; dissent is valued as the very source of truth, and a majority decision is legitimate without unanimity [10] [14] |
| Authority | Whoever configures the system; agents bear no consequences for being wrong | Equal right of expression, no blocs or factions; participants collectively bear responsibility for the decision and its results [12] [15] |
| Learning | Typically episodic — a run ends and little persists, though “lessons learned” frameworks are emerging [13] [18] | The cycle is constitutive: decide, act together, observe, reflect, revise [5] |
The Deepest Differences
Lack of ego is not the same as the ethical practice of detachment. An agent has no self-esteem to protect, but it also has no motive to search for truth — its “attachment” is to agreement, which is why sycophancy is the characteristic failure. Consultation names this failure in advance (“stubbornness and persistence in one’s views… and the truth will remain hidden”) and builds countervailing disciplines around it. [10] [14]
Second, fluent agreement is not evidence of truth. Agent collectives can produce eloquent, confident, unanimous — and wrong — outputs, because their errors are correlated rather than independent. Consultation’s premise that truth emerges from genuine clash depends on differences that are real, not merely assigned roles. One telling study found that multi-agent debate can sharpen the quality of explanations while leaving the underlying decisions no better — a machine-age version of a group reasoning beautifully together toward the wrong action. [16] [17]
Third, consultation’s product is not only a decision but a community: bonds of trust, shared responsibility, and the capacity of participants to grow. Even the ideal AI collective produces only an output. The consequences of the decision — who is affected, who learns, who is accountable — belong entirely to the human layer around the system.
Be the Voice of…
Therefore, all souls should consider it incumbent upon them to investigate reality. Reality is one; and when found, it will unify all mankind. Reality is the love of God. Reality is the knowledge of God. Reality is justice. Reality is the oneness or solidarity of mankind. Reality is international peace. Reality is the knowledge of verities. Reality unifies humanity. — ‘Abdu’l-Bahá. [19]
Footnotes
[1] Bahá’u’lláh, ‘Abdu’l-Bahá. BAHÁ’Í SACRED WRITINGS. Bahá’í Reference Library. https://www.bahai.org/r/350798034 | https://www.bahai.org/r/779138505
[2] Perplexity Computer. “AI and Bahá’í Consultation.” Edited by Steve Bosserman. October 26, 2026. https://www.perplexity.ai/computer/tasks/fb20eb81-eae0-4dd5-b96e-7686b3a92ca9
[3] Transformative Leadership Education Staff. “Unite, Decide, Thrive: Using Consultation to Improve Decisions” (Free Online Course). Transformative Leadership Education. https://tinyurl.com/courseconsultation
[4] Tang, Bohan, Huidong Liang, Keyue Jiang, and Xiaowen Dong. “On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems.” ArXiv, 05 Oct 2025. https://arxiv.org/html/2510.04311v1
[5] Heller, W., and H. Mahmoudi. “Altruism and Extensivity in the Bahá’í Religion”. The Journal of Bahá’í Studies, vol. 4, no. 4, Dec. 1991, pp. 45-57, doi:10.31581/jbs-4.4.435(1992) | https://bahai-library.com/pdf/h/heller_mahmoudi_altruism_extensivity.pdf
[6] Li, Yuante, Yicheng Tao, Kate Zhang, Taozhi Wang, Gefei Gu, and Yaxin Zhou. “Diverse Evidence, Better Forecasts: Multi-Agent Deliberation Under Information Asymmetry.” ArXiv, 2 Jul 2026. https://arxiv.org/pdf/2607.01661v1
[7] Chen, Yongqiang, Gang Niu, James Cheng, Bo Han, and Masashi Sugiyama. “Towards Scalable Oversight with Collaborative Multi-Agent Debate in Error Detection.” ArXiv, 14 Jul 2026. https://arxiv.org/pdf/2510.20963v1
[8] Wang, Andrew. “Debate for Multiagent Large Language Model Tuning.” Stanford University, Spring 2025. https://cs224r.stanford.edu/spring_2025/projects/pdfs/CS_224R_Final_Project__Debate_for_Multiagent_Large_Language_Model_Tuning__1_.pdf
[9] Wynn, Andrea, Harsh Satija, and Gillian Hadfield. “Talk Isn’t Always Cheap: Understanding Failure Modes in Multi-Agent Debate.” ArXiv, 05 Sep 2025. https://arxiv.org/html/2509.05396v1
[10] Research Department of the Universal House of Justice. CONSULTATION: A COMPILATION. February 1978, Revised November 1990. Bahá’í Reference Library. https://www.bahai.org/r/249611345
[11] Wang, Xiaoyang and Christopher C. Yang. “The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment.” ArXiv, 07 Jun 2026. https://arxiv.org/pdf/2606.08457
[12] The Bahá’í Faith Staff. “Consultation Quotes.” Bahá’í International Community. https://www.bahai.org/beliefs/universal-peace/articles-resources/consultation-quotes
[13] Liu, Yuanzhe, Ryan Deng, Tim Kaler, Xuhao Chen, Charles E. Leiserson, Yao Ma, and Jie Chen. “Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve.” ArXiv, 23 Oct 2025. https://arxiv.org/html/2505.23946v2
[14] Universal House of Justice. “29 December 1988 – To the Followers of Bahá’u’lláh in the United States of America.” Bahá’í Reference Library. https://www.bahai.org/r/206794286
[15] He, Chuan, Zebin Chen, Zhengyi Yang, Shaobo Qiao, Mingchen Ju, Jiate Liu, Dong Wen, and Guanfeng Liu. “Minority Sentinel: When to Overturn Majority Voting in Multi-Agent LLM Debates.” ArXiv, 28 Jun 2026. https://arxiv.org/pdf/2606.29270
[16] Marlow, Reid. “Multi-Agent Debate Sharpens the Explanation, Not the Decision.” Reid Marlow, Sep 25, 2026. https://reidmarlow.com/multi-agent-debate-sharpens-the-explanation-not-the-decision/
[17] Tang, Luoxi, Yuqiao Meng, Joseph Costa, Yingxue Zhang, Muchao Ye, and Zhaohan Xi. “The Value of Variance: Mitigating Debate Collapse in Multi-Agent Systems via Uncertainty-Driven Policy Optimization.” ArXiv, 06 Feb 2026. https://arxiv.org/html/2602.07186
[18] Rosenberg, Louis, Hans Schumann, Christopher Dishop, Gregg Willcox, Anita Woolley, Ganesh Mani. “Large-Scale Group Brainstorming and Deliberation Using Swarm Intelligence and Generative AI.” Scitepress, 2025. https://www.scitepress.org/Papers/2025/133798/133798.pdf
[19] ‘Abdu’l-Bahá. THE PROMULGATION OF UNIVERSAL PEACE. Bahá’í Reference Library. https://www.bahai.org/r/628985716
