INITIATIVES

Distinct domains. Shared interoperability.

Open interoperability specifications for individual domains, with a common commitment to inspectable evidence and provenance-preserving signals.

The Open-* initiative family

Each initiative owns its own domain vocabulary, ontology, and adapters — Open Emotions™ for emotion classification, Open Sensations™ for stimulus and sensation signals, and Open Morals™ for computational moral analysis. AI Attributes™ supplies the shared envelope, provenance model, and registry that let them interoperate without treating their underlying constructs as identical. Visit each project's site for its current availability and release information.

SENSING & INPUT

Open Sensations™

Open interoperability for stimulus and sensation signals. Connecting stimuli, sensors, signals, and context to candidate interpretations.

  • Stimuli & sensors
  • Signals & thresholds
  • Context & interpretation
Explore Open Sensations™www.open-sensations.com
AFFECT & INTERNAL STATE

Open Emotions™

Open interoperability for emotion classification. Mapping triggers, appraisals, transitions, and response tendencies with traceable provenance.

  • States & appraisals
  • Intensity & transitions
  • Evidence & provenance
Explore Open Emotions™www.open-emotions.com
MORAL ANALYSISPlanned

Open Morals™

Open interoperability for computational moral analysis. Mapping moral-framework constructs, evidence, and disagreement with traceable provenance.

  • Framework registry
  • Evidence & disagreement
  • Provenance
In development
APPLICATIONS

Studio and Player

AI Observability Studio™ and AI Observability Player™ are the primary consumer applications built on AI Attributes events: Studio for capture, analysis, and visualization; Player for replay, comparison, and forensic investigation of recorded experiments. Both are consumers of the specifications, not the specifications themselves, and are intended to be replaceable by other compatible tools. Links will be added once they have real destinations.

RESEARCH DIRECTIONS

Future Research Areas

These are potential future modules, not announced products or delivery commitments. A direction needs clear definitions, evidence, and useful research questions before it becomes a project.

PerceptionAttentionMemoryMotivationDrivesSelf-modelAgencyEmbodimentSocial cognition

Shared identifiers, schemas, and relationship metadata are part of the planned cross-project architecture. A unified graph is a long-term research direction.

Explore the roadmap →