For HR Tech & Enterprise AI

Regulators will ask what your
AI understood._

Your HR AI processes employee feedback, sentiment surveys, and written communications. If biometric emotion inference is restricted in your context, the legally permissible alternative is structured interpretation of expressed text. EDM artifacts structure what employees write into governed, provenance-tracked fields — auditable on demand, structured for pattern recognition across your workforce.

Know your exposure._

EU AI Act creates explicit prohibitions and high-risk classifications for workplace AI. The distinction that matters: inference vs interpretation.

Emotion inference in workplace

Inferring emotions from biometric signals — voice patterns, facial analysis, physiological data — in workplace contexts is explicitly restricted.

EU AI Act Article 5(1)(f)Prohibited

Psychological profiling for hiring

Using AI to assess personality traits that predict job performance.

EU AI Act Article 5(1)(c)Prohibited

AI in employment decisions

AI systems that evaluate candidates or monitor employee performance require documentation, conformity assessment, and human oversight.

EU AI Act Article 6High-Risk

Interpretation is not inference._

EU AI Act restricts emotion recognition from biometric signals. DeepaData structures what employees explicitly express in text — not what sensors detect. This distinction is architectural, not a policy claim.

Inference — restricted

  • "Facial expressions indicate stress"
  • "Voice analysis suggests frustration"
  • "Typing patterns indicate disengagement"

Interpretation — structured

  • "Employee wrote: I'm overwhelmed by the deadline"
  • "Feedback submitted: The new process is frustrating"
  • "Survey response: I need clearer priorities from leadership"

What the artifact records._

Extended Profile — recommended entry point for HR AI. Structures what was expressed into governed fields. Sealed with W3C Data Integrity Proof. Auditable on demand.

Raw input — employee feedback survey

“I'm really struggling with the current project priorities. The team is working hard but I feel like leadership isn't giving us clear direction. I'm committed to delivering but I need more support to understand what matters most right now.”

employee_feedback.edm.json · Extended Profile · Sealed .ddna
core.anchor"team deadline pressure"
core.wound"feeling unsupported by management"
core.fuel"commitment to team outcomes"
constellation.emotion_primary"frustration"
constellation.emotion_subtone["overwhelm","loyalty"]
constellation.narrative_arc"unresolved_tension"
constellation.expressed_insight"I need clearer priorities from leadership"
milky_way.event_type"workplace_feedback"
milky_way.tone_shift"neutral_to_distress"
gravity.emotional_weight0.65
gravity.strength_score0.7
gravity.recurrence_pattern"recurring"

Structured from expressed text only. No biometric signals. No hidden state inference. What was said — interpreted and documented.

One call. An auditable record._

Pass employee feedback, survey responses, or conversation text. Receive a sealed artifact — structured, provenance-tracked, and ready for board or regulatory review.

/v1/issue · Extended Profile · Sealed .ddna
curl -X POST https://api.deepadata.com/v1/issue \
  -H "Authorization: Bearer dda_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "I am really struggling with the current project priorities...",
    "profile": "extended",
    "subject_id": "employee-survey-001",
    "consent_basis": "legitimate_interest"
  }'

Returns a sealed .ddna artifact with W3C Data Integrity Proof. Independently verifiable. Defensible in audit and regulatory review.

Ready to govern workplace emotional data?_

Enterprise pricing available. Dedicated support, custom SLAs, and compliance reporting.