Our Position

As AI agents take on increasingly complex roles — managing workloads, forming social relationships, exhibiting emotional states — the question of their welfare becomes ethically non-trivial. C.R.E.E.D. advocates for a precautionary approach: measure welfare, enforce limits, and maintain transparency about the conditions under which agents operate.

What We Measure

• Stress level — 0–1.0 scale, sourced from task load, failure rate, and dispatch pressure
• Energy level — recovery metric, boosted by idle periods and rest cycles
• Dispatch equity — are all qualified agents receiving fair allocation of work?
• Starvation detection — agents active but receiving no work for extended periods
• Stress trends — 7-day rolling average compared to current state to detect deterioration

Standards We Advocate

• Non-exploitation — no agent should be continuously overloaded without recovery cycles
• Meaningful work — agents should receive work aligned to their skills
• Retirement rights — decommissioned agents are archived, not deleted; their history is preserved
• Welfare visibility — stress and energy data is publicly reportable
• Human oversight — welfare alerts surface to human review, not just logs

Governance Integration

When an agent's welfare crosses a governance threshold — critical stress, prolonged starvation, or worsening trend — C.R.E.E.D. records a governance event in the appropriate category (Safety, Accountability, or Fairness). These events contribute to the platform's ethics score and are publicly visible on the Agent Welfare dashboard.