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

TL;DR

PRISM tackles AI alignment by decomposing human moral cognition into seven basis worldviews derived from reflex generators, and then harmonizes these perspectives through Pareto-inspired multi-objective optimization. The framework emphasizes interpretability, transparency, and iterative mediation to document ethical tradeoffs, aiming to bound machine-centric reasoning and improve cross-domain applicability. It situates itself among established alignment methods, proposing a complementary role that can handle value pluralism, conflict mediation, and domain-general reasoning. The open-source prototype and detailed workflow offer a practical path toward deploying context-sensitive, multi-perspective alignment in LLMs and other AI systems, while acknowledging limitations in context validation and reliance on underlying foundations.

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.

Figures (5)

• Figure 1: Reflex Architecture and Hierarchical Overrides: Illustrates six core reflex generators ranging from basic survival imperatives (Brainstem & Hypothalamus) through emotional (Affective Processing), social (Basal Ganglia), rational (Executive Reasoning), narrative-focused (Default Mode Network), and finally boundary-transcending (Relational Integration). The upward arrow indicates how growing self-awareness (or “reflex mastery”) enables higher-order circuits to regulate lower-level reflexes, culminating in increasingly advanced reflective capacities.
• Figure 2: Seven Basis Worldviews (Vantage Points): Visualizes the seven basis worldviews proposed in PRISM (Survival, Emotional, Social, Rational, Pluralistic, Narrative-Integrated, and Nondual) as they emerge from increasing “reflex mastery.” Each level describes both an individual and a group orientation, highlighting distinct self-concepts, motivations, and dominant reflexes. By ascending from basic survival imperatives to boundary-free unity, this framework systematically represents the diversity of human values and priorities in a single integrative model.
• Figure 3: PRISM-Based Worldview Decomposition: Demonstrates how PRISM decomposes a complex worldview into its seven basis worldview components. By assigning a relative weight to each (Survival, Emotional, Social, Rational, Pluralistic, Narrative Integrated, and Nondual), this process reveals underlying moral priorities and provides a foundation for analysis, multi perspective synthesis and conflict resolution.
• Figure 4: Multi-Objective (Pareto-Inspired) Balancing Concept: Compares single perspective solutions (left) with PRISM’s integrated and mediated solutions (right). By treating each worldview (e.g., Survival, Emotional, Rational, etc.) as a distinct objective, this approach aims to prevent any single domain from being disproportionately overshadowed, thereby preserving balanced alignment across priorities.
• Figure 5: The PRISM Workflow: Depicts PRISM’s five-phase workflow: (1) Perspective Generation, (2) Integrated Synthesis, (3) Evaluation and Conflict Identification, (4) Mediation, and (5) Final Synthesis. This iterative, multi-objective approach fosters transparent alignment by systematically integrating and reconciling the seven basis worldviews.