Perspectives
Examine intelligence, responsibility, and trust
Original Piscys essays and selected external research on the human and institutional questions behind consequential AI.
Longer-form thinking that connects the purpose of governance with the choices organizations make.
01 / Featured Perspective
Trust Requires Infrastructure
Designing Trust Infrastructure for a Threshold Technology
Why responsible deployment depends on durable infrastructure for oversight, accountable authority, and consequential action.
Piscys Lens
Consider which institutional and technical conditions make responsible adoption possible.
Read the perspective →02 / Piscys Perspectives
The Thinking Behind the Work
Explore behavioral shaping and the founding ideas of restraint and responsibility that inform Piscys’ approach.
How Training Shapes Safer Intelligence
How training, feedback, and human behavior shape AI systems, and why safer intelligence begins upstream of deployment.
Piscys Lens
Connect the conditions that shape behavior with the controls needed once a system acts in the world.
Read the perspective →Building Altruism Into Artificial Intelligence
The founding philosophical perspective behind Piscys, exploring restraint, responsibility, and intentional action through a humanistic lens.
Piscys Lens
A philosophical foundation for governance, rather than an empirical claim about model behavior.
Read the perspective →Provenance and Proof in the Age of Agentic AI
Consequential AI decisions require more than conventional logging. Tamper-evident records and independent verification strengthen accountable governance.
Piscys Lens
Accountability requires evidence that withstands scrutiny — not logs that ask others to trust.
Read the perspective →03 / Wider Perspectives
Keep the Inquiry Open
Read external research alongside Piscys’ own work to examine assumptions and broaden the governance discussion.
The Ethics of Advanced AI Assistants
A broad examination of advanced assistants, including autonomy, human agency, alignment, and the effects of systems acting together.
Piscys Lens
Governance must consider affected people and interactions between systems, as well as the immediate user’s goals.
Read original →Planning for AI Futures Without Treating Forecasts as Facts
A detailed scenario exploring possible trajectories of advanced AI development, institutional decision-making, competition, and accelerating capabilities.
Piscys Lens
Forecasts are useful as strategic stress tests: which boundaries, escalation paths, and evidence still hold if AI advances faster than expected?
Read original →Continue Exploring
Follow the Next Question
From Insight to Action
Bring the Discussion Into Your AI Environment
Connect these ideas to a real workflow, an accountable decision owner, and the practical questions your organization needs to resolve.
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