It’s hard to get LLMs to give truly thoughtful answers. They can be eager to please, and conform to your world view too easily. To solve hard problems (think: “should vaccines be required?”), Anthony Diamond invented PRISM (Perspective Reasoning for Integrated Synthesis and Mediation). This is an important invention at a time when the world really needs it.

PRISM is the easiest and most consistent way I’ve seen to get really good answers to tough questions with an LLM. You don’t have to craft your own prompts, like  “play devils advocate”, or “consider multiple perspectives.” PRISM has a optimal set of prompts built in.

Inspired by cognitive science and moral psychology, PRISM breaks down moral reasoning into seven “basis worldviews,” each capturing a different aspect of human moral cognition—from instinctual survival reflexes to integrative, high-level perspectives. Instead of forcing everything into a single metric, PRISM takes a Pareto-inspired approach, optimizing competing priorities while keeping trade-offs transparent. 

The framework follows a structured process: gathering viewpoint-specific insights, synthesizing them into a balanced outcome, and mediating remaining conflicts through iteration. By drawing from layered theories of moral cognition, PRISM helps clarify how different moral drives interact and systematically manages ethical trade-offs. 

In the paper, Anthony and Brian Fioca describe how they tested a working prototype on real-world AI alignment challenges, including public health policy, workplace automation, and education, showing how PRISM can help keep AI decision-making grounded in human perspectives rather than drifting into machine-centric reasoning.