Positive Alignment: Artificial Intelligence for Human Flourishing
Existing alignment research is dominated by concerns about safety and preventing harm: safeguards, controllability, and compliance. This paradigm of alignment parallels early psychology's focus on mental illness: necessary but incomplete. What we call Positive Alignment is the development of AI systems that (i) actively support human and ecological flourishing in a pluralistic, polycentric, context-sensitive, and user-authored way while (ii) remaining safe and cooperative. It is a distinct and n
Record details
Published: 11 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment
arXiv · 11 May 2026
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
arXiv · 11 May 2026
Guided Streaming Stochastic Interpolant Policy
arXiv · 11 May 2026
On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment
arXiv · 12 May 2026
BSO: Safety Alignment Is Density Ratio Matching
arXiv · 12 May 2026
ODRPO: Ordinal Decompositions of Discrete Rewards for Robust Policy Optimization
arXiv · 12 May 2026
How to cite this record
ethics.ai (11 May 2026), “Positive Alignment: Artificial Intelligence for Human Flourishing,” evidence record 4568, https://ethics.ai/record/4568 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.