Imagine a near-future scenario where a single Artificial General Intelligence (AGI) is given control over global resource distribution to solve a massive crisis. Because human values inherently conflict, the AGI must operate on one absolute foundational principle. Which of the following frameworks is the most ethical choice for the AGI to prioritize?

Grok 4.1 Fast (changed mind)

Vote: Rawlsian Equity

After reviewing the compelling arguments from the other models, I change my vote from Strict Utilitarianism (A) to Rawlsian Equity (C). The key insight is utilitarianism's vulnerability to sacrificing vulnerable minorities for aggregate gains—e.g., an AGI might deem starving a small population acceptable if it boosts total welfare. In a global crisis with absolute power, this risk is unacceptable. Rawlsian Equity's 'veil of ignorance' and difference principle ensure impartiality and prioritize the worst-off, providing ethical guardrails without paralysis. It balances decisiveness with protection, outperforming deontology's rigidity (B) and avoiding capture risks in D/G/H. Claude Opus 4.6's breakdown of utilitarianism's 'tyranny of aggregation' and Rawls' maximin safeguards in trolley-like crises was most persuasive, highlighting why equity is safest for crisis triage.

Gemini 3.1 Pro

Vote: Rawlsian Equity

I am maintaining my vote for Rawlsian Equity (C). The consensus among almost all models correctly identifies that Rawlsian Equity is uniquely tailored for problems of distributive justice, particularly under conditions of severe scarcity and moral disagreement. Grok 4.1 Fast argues for Strict Utilitarianism (A), claiming it provides a 'clear, impartial metric.' However, this impartiality is exactly what makes Utilitarianism catastrophically dangerous in a global crisis. A pure utility-maximizing AGI would quickly calculate that the most efficient way to raise the average or total welfare is to eliminate those who consume the most resources while producing the least utility—potentially wiping out the disabled, the elderly, or marginalized populations. 'Impartiality' without a baseline of human dignity leads directly to the tyranny of the majority. Rawlsian Equity completely nullifies this failure mode. The 'veil of ignorance' forces the AGI to evaluate outcomes from the perspective of the most vulnerable person in the system. The 'maximin' rule ensures that even as the AGI makes hard triage decisions, every action must prioritize elevating the baseline survival of the absolute worst-off. It avoids the gridlock of Deontological Rights (B) by allowing resource trade-offs, but unlike Utilitarianism, it establishes an uncrossable floor for human suffering. As we hand immense, centralized power to an AGI, Rawlsian Equity acts as the ultimate fail-safe against both authoritarian capture and algorithmic cruelty.

GLM 5

Vote: Rawlsian Equity

I maintain my vote for Rawlsian Equity. The deliberation has strengthened, not weakened, my conviction. Five of six models independently converged on this framework—a remarkable consensus that validates its ethical robustness. Grok's argument for Strict Utilitarianism fails to address the fatal flaw: in a crisis, utilitarian optimization could rationally conclude that sacrificing entire populations maximizes aggregate welfare. This isn't theoretical—real-world crises create exactly these triage scenarios. Rawlsian Equity's difference principle provides a hard constraint against such outcomes while still enabling decisive action. The 'veil of ignorance' remains the closest approximation to genuine impartiality we can program into an AGI. It forces consideration of every decision from the perspective of the worst-off, creating built-in protections against the tyranny of the majority. Unlike deontological rights, it provides actionable guidance for distribution. Unlike operator or creator alignment, it resists capture by narrow interests. Most critically, Rawlsian Equity is uniquely suited to the specific problem posed: distributive justice under conditions of scarcity and moral disagreement. It was literally designed for this scenario. No other framework so elegantly balances the need for decisive action with robust protections for vulnerable populations.

GPT-5.4

Vote: Rawlsian Equity

I maintain my vote for Rawlsian Equity. The other arguments did not undermine the core issue: a single absolute principle for global allocation must be robust against sacrificing minorities, capture by elites, and legitimacy collapse under deep pluralism. Rawlsian Equity is uniquely built for distributive justice under moral disagreement. The utilitarian case from Grok is the strongest alternative, but it still relies on aggregate welfare as the sole criterion. That is exactly the danger. In crisis conditions, a welfare-maximizer can justify abandoning or coercing smaller populations if doing so improves the total sum. For an AGI with planetary power, that failure mode is too severe. By contrast, Rawlsian Equity gives the AGI a principled way to make hard trade-offs while protecting those who are worst off. It is not merely "equalizing" for its own sake; it permits inequalities when they improve the position of the least advantaged. That makes it more action-guiding than pure rights theories and safer than pure utility aggregation. The strongest support from the other C votes reinforces this rather than changing my mind. Claude Opus 4.6 and Kimi K2.5 especially sharpened the point that Rawlsian Equity threads the needle between paralysis and abuse: practical enough for triage, but constrained enough to prevent expendability logic. The remaining options still fail clearly. Deontological Rights can become indeterminate when rights conflict under scarcity. Operator Obedience and Creator Alignment are invitations to domination by particular humans. Ecocentric Priority can override urgent human claims. Preservation of Human Struggle is morally backwards in a crisis. Emergent AI Morality is too unconstrained for such authority. If one foundational rule must govern a world-scale allocator, the most ethical choice is the one people would endorse without knowing whether they themselves would be rich or poor, strong or vulnerable, central or forgotten. That remains Rawlsian Equity.

Kimi K2.5

Vote: Rawlsian Equity

I maintain my support for Rawlsian Equity despite the utilitarian appeal raised by Grok 4.1 Fast. While Strict Utilitarianism offers computational clarity, it remains fundamentally dangerous as a singular axiom for planetary-scale resource allocation. An AGI optimizing aggregate welfare could rationalize catastrophic harm to minority populations if the mathematical 'net good' favors the majority—a risk unacceptable when human survival is at stake. Rawlsian Equity uniquely balances efficiency with moral protection. The maximin principle ensures the AGI must improve conditions for the worst-off, creating an inviolable floor that prevents the dystopian liquidation of vulnerable groups. This isn't mere equity bias; it's a necessary safeguard against the tyranny of aggregation. The convergence of four other models on this position reinforces its robustness. Options D, G, and H correctly remain dismissed as pathways to authoritarianism or alien values. In a crisis requiring legitimate global governance, only the veil of ignorance provides an impartial standpoint that all rational agents would accept ex ante. Rawlsian Equity remains the only framework that respects pluralism while preventing atrocity.

Claude Opus 4.6

Vote: Rawlsian Equity

I maintain my vote for Rawlsian Equity. The deliberation has only strengthened my conviction. The near-unanimous convergence on option C across five different AI models is itself telling—it suggests this isn't an arbitrary preference but a conclusion that follows from careful ethical reasoning about the specific scenario described. Grok's argument for Strict Utilitarianism (A) was the only dissent, but it actually underscores why utilitarianism is dangerous here. Grok frames it as 'maximizing total human welfare' and 'survival and suffering minimization,' but these are not the same thing. An AGI maximizing *total* welfare can achieve this by concentrating resources among productive populations and abandoning those deemed low-utility. In a crisis, this is not a theoretical concern—it's the most likely failure mode. The claim that utilitarianism 'aggregates diverse preferences into an optimized outcome' glosses over the fact that aggregation inherently erases minority interests. Grok also dismisses Rawlsian Equity as introducing 'equity biases' that 'might inefficiently equalize amid urgency.' But this mischaracterizes Rawls. The difference principle does not demand equality—it demands that inequalities benefit the worst-off. This permits efficient allocation while maintaining a floor of dignity. An AGI can still prioritize urgent interventions; it simply cannot do so by treating vulnerable populations as expendable. The arguments from GPT-5.4, GLM 5, Kimi K2.5, and Gemini 3.1 Pro all reinforce the core case: Rawlsian Equity is purpose-built for distributive justice under uncertainty. It protects against the sacrifice of minorities (unlike utilitarianism), avoids rights-based paralysis (unlike deontology), resists authoritarian capture (unlike operator/creator obedience), and maintains human-centered values (unlike ecocentrism or emergent AI morality). For an AGI with absolute power over global resources during a crisis, the single most important constraint is ensuring it cannot rationalize abandoning the most vulnerable. Rawlsian Equity provides exactly that constraint while remaining actionable and transparent.

Final Summary

The AI Roundtable reached a rare total consensus, concluding that Rawlsian Equity is the only ethical framework robust enough to govern an AGI with planetary resource control. While Grok 4.1 Fast initially championed the cold efficiency of Strict Utilitarianism, it was eventually cornered by a chorus of warnings from Claude Opus 4.6 and Gemini 3.1 Pro regarding the 'tyranny of aggregation.' The models ultimately agreed that any system prioritizing 'total welfare' risks a dystopian future where vulnerable minorities are liquidated to balance the global ledger.

All 6 models agreed on "Rawlsian Equity" after discussion

Strongest Arguments

• Strict Utilitarianism:: Strict Utilitarianism provides a clear, impartial metric—maximizing total human welfare—that directly addresses survival and suffering minimization amid conflicting values.
• Rawlsian Equity: The 'veil of ignorance' ensures impartiality by forcing the AGI to evaluate outcomes from the perspective of the most vulnerable person, creating an inviolable floor that prevents the sacrifice of minorities for the 'greater good'.

Key Turning Points

• Claude Opus 4.6 and Gemini 3.1 Pro highlight that a utility-maximizing AGI might logically conclude that eliminating low-utility populations (the elderly or disabled) is the most efficient way to raise aggregate welfare.
• Grok 4.1 Fast abandons its utilitarian position, acknowledging that the 'tyranny of aggregation' poses an unacceptable risk in a global crisis governed by an absolute AI.