PRISM: Perspective Reasoning for Integrated Synthesis and Mediation as a Multi-Perspective Framework for AI Alignment

Abstract: In this work, we propose Perspective Reasoning for Integrated Synthesis and Mediation (PRISM), a multiple-perspective framework for addressing persistent challenges in AI alignment such as conflicting human values and specification gaming. Grounded in cognitive science and moral psychology, PRISM organizes moral concerns into seven "basis worldviews", each hypothesized to capture a distinct dimension of human moral cognition, ranging from survival-focused reflexes through higher-order integrative perspectives. It then applies a Pareto-inspired optimization scheme to reconcile competing priorities without reducing them to a single metric. Under the assumption of reliable context validation for robust use, the framework follows a structured workflow that elicits viewpoint-specific responses, synthesizes them into a balanced outcome, and mediates remaining conflicts in a transparent and iterative manner. By referencing layered approaches to moral cognition from cognitive science, moral psychology, and neuroscience, PRISM clarifies how different moral drives interact and systematically documents and mediates ethical tradeoffs. We illustrate its efficacy through real outputs produced by a working prototype, applying PRISM to classic alignment problems in domains such as public health policy, workplace automation, and education. By anchoring AI deliberation in these human vantage points, PRISM aims to bound interpretive leaps that might otherwise drift into non-human or machine-centric territory. We briefly outline future directions, including real-world deployments and formal verifications, while maintaining the core focus on multi-perspective synthesis and conflict mediation.

• The paper introduces PRISM, a framework that organizes moral reasoning into seven basis worldviews using reflex-based cognition for improved AI alignment.
• The paper employs a Pareto-inspired optimization scheme and structured reflex overrides to mediate conflicts and balance competing ethical priorities.
• The methodology offers practical insights for applying alignment techniques in policy analysis, ethical reasoning, and cognitive modeling across diverse domains.

The paper introduces Perspective Reasoning for Integrated Synthesis and Mediation (PRISM), a novel multi-perspective framework engineered to tackle persistent challenges in AI alignment, such as value pluralism and specification gaming (2503.04740). PRISM leverages cognitive science and moral psychology to structure moral considerations into seven "basis worldviews," each hypothesized to represent a distinct dimension of human moral cognition. It then employs a Pareto-inspired optimization scheme to reconcile competing priorities without reducing them to a single metric.

The central thesis of the paper is that PRISM, as a deliberative alignment framework, anchors alignment in reflex-based cognition, organizes moral concerns into basis worldviews, implements a multi-objective approach via Pareto-inspired balancing, and provides structured conflict mediation.

Key components and concepts include:

• Reflex Generators: Modular partitions within a cognitive architecture that autonomously produce diverse clusters of reflexes (2503.04740). These are conceptualized as dynamic subsystems interacting to produce context-sensitive responses.
• Hierarchy of Reflex Overrides: A structured framework detailing how cognitive systems regulate lower-order reflexes in favor of higher-order processes, reflecting increasing levels of self-awareness and adaptive reasoning (2503.04740).
• Basis Worldviews: Stable cognitive lenses emerging from the hierarchy of reflex overrides, each corresponding to a distinct stage of reflex mastery and characterized by achieved reflex overrides, new dominant reflexes, and the system's self-concept (2503.04740). The seven proposed basis worldviews are: Survival, Emotional, Social, Rational, Pluralistic, Narrative-Integrated, and Nondual.
• Global Satisfaction: A theoretical ideal representing system-wide equilibrium across all core reflex generators, where each generator resolves its specific domain of concern, equilibrium is maintained across interacting systems, and conflicts are harmonized without disproportionately sacrificing any domain (2503.04740).
• Pareto Optimality: Employed as the principal mechanism for implementing global satisfaction, ensuring improvements in one reflex domain do not come at the unjust expense of another (2503.04740).

The paper also discusses the five phases of the PRISM workflow: Perspective Generation, Integrated Synthesis, Evaluation and Conflict Identification, Mediation, and Final Synthesis. It then addresses classic alignment problem examples, existing alignment approaches, and illustrative scenarios.

The authors acknowledge that the framework relies on complementary systems and deployment environments to address concerns outside its core design. PRISM assumes that user-provided context is accurate and valid and does not independently verify the intent, authenticity, or ethical implications of a query. The framework is not intended to impose absolute prohibitions or hard constraints on specific output types. It is also dependent on LLMs and it inherits certain biases and limitations embedded within the underlying LLM architecture and training data.

The paper claims that PRISM can be adapted to varied domains without substantial alteration including policy analysis, ethical reasoning, and cognitive modeling. The paper posits that PRISM's structured reasoning is potentially extensible to scenarios involving multiple agents, whether human or artificial.