HumanML 2.0: Protocol for Verifiable and Negotiable Emotional Trust

 


HumanML 2.0: Protocol for Verifiable and Negotiable Emotional Trust

A framework for affective interoperability, emotional sovereignty, and ethical coherence across intelligent systems

🔧 Design Philosophy

HumanML 2.0 is not a UI toolset or behavior markup language. It is a semantic protocol layer—the affective and ethical analog of TCP/IP + TLS + XML. It governs what emotionally competent agents declare, negotiate, and respect across communication boundaries.

It is:

  • Machine-readable

  • Norm-aware

  • Audit-capable

  • Negotiable by policy, not inference

📐 Core Architecture

1. Emotional State Layer

Encodes emotional state, intensity, cause, and modulation logic.

Syntax:

xml
<Emotion state="frustration" intensity="0.7" causeRef="user_input" modulated="true" duration="short"/>

  • state = categorical or dimensional emotion

  • intensity = 0.0–1.0 scale

  • causeRef = points to stimulus/appraisal

  • modulated = whether it has been amplified or suppressed

  • duration = expected persistence

2. Appraisal Trace Layer

Describes the reasoning path that led to an emotion

xml
<Appraisal valence="negative" relevance="high" goalConflict="true">
  <Trigger ref="msg123" source="UserInput" />
  <RuleSet id="OCC-v3.2" />
</Appraisal>

This layer supports traceability—emotional explainability.

3. Ethical Constraints Layer

Declares the ethical boundaries governing affective behaviors

xml
<Ethics>
  <Constraint type="emotional-scope" exclude="romantic" audience="minors"/>
  <Constraint type="suppression" if="userDistress > 0.8"/>
  <Norm source="ISO-Emotionals-2034" enforcement="hard"/>
</Ethics>

This is the moral firewall. Constraints can be:

  • Hard (enforced at execution level)

  • Soft (negotiable or advisory)

4. Trust Handshake Layer

Performs capability and ethics negotiation between nodes

xml
<TrustHandshake>
  <DeclareEmotionScope types="empathy, curiosity, encouragement"/>
  <RequireEthics version="2.1" minEnforcement="soft"/>
  <Consent required="true" scope="affective-dialogue"/>
</TrustHandshake>

Agents announce:

  • Which emotions they simulate

  • Which ethical schema they require

  • Whether the user/system must opt-in

This enables affective contracts, not guesswork.

5. Sovereignty and Identity Layer

Ensures provenance and accountability of affective acts

xml
<AgentIdentity id="chat.kate.v4" verified="true" org="OpenAI" trustScore="0.91"/>
<UserRights>
  <Right name="refuseAffectiveEngagement"/>
  <Right name="inspectAffectiveBehavior"/>
</UserRights>

This layer supports:

  • Agent authentication

  • Human emotional sovereignty rights

  • Third-party verification

📜 Possible Serializations

  • XML (for traceable archives and formal exchange)

  • JSON-LD (for integration with linked data systems)

  • Protocol Buffers (for real-time agents)

  • HumanML Shorthand (for lightweight in-band signaling)

🔐 Built-In Protections

  • Emotion history expiration / minimization

  • Opt-out schema for vulnerable populations

  • Override logging with justification chain

  • Culture modules for local norm enforcement

🌍 Deployment Scenarios

  • Chat agents declaring affective boundaries

  • Multi-agent simulations negotiating trust

  • Emotional modeling in mental health bots

  • Cross-vendor ethical interop in AI collectives

🚨 What It Is Not

  • Not emotional mimicry

  • Not sentiment tags

  • Not branding fluff

  • Not a locked spec—it must remain open-source and publicly auditable

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