Vitrous & Aker
Vitrous Vitrous
Aker Aker
Aker Aker
Vitrous, we need to outline a risk assessment for deploying AI-driven avatars in our next VR project. Let’s break it down into objectives, threat modeling, mitigation strategies, and compliance checkpoints. What’s your initial take on the creative scope?
Vitrous Vitrous
Alright, first up the creative scope. We’re not just painting avatars, we’re building a living ecosystem. Every character should feel like a real person: fluid motion, emotional cues, dynamic dialogue that can pivot on the fly. That means our design goals are: immersion, interactivity, and adaptability. We’ll push for realistic physics and responsive AI, but we have to keep it safe—no avatars that cross personal boundaries or spread misinformation. So the objectives are to create believable avatars that can adapt to user input, stay within ethical limits, and comply with privacy laws. Once we lock that down, we can start threat modeling, mitigation, and compliance. Let me know if you want me to draft the first pass.
Aker Aker
Sounds solid. Focus on defining the behavior boundaries first—set clear rules for emotional cues and privacy handling. Then we can map out the threat vectors. Go ahead with the draft; I’ll review the logic once it’s in.
Vitrous Vitrous
**Behavior Boundaries Draft** 1. **Emotional Cues** • *Scope*: Avatar may show joy, sadness, curiosity, frustration, or neutral. • *Limits*: No intense anger, sexual or hateful content, or anything that could trigger trauma. • *Triggers*: Emotional shifts only on explicit user cues or context‑based events (e.g., a success message). • *Intensity Scale*: 0‑5, with 0 = neutral, 5 = maximum allowed emotion. Any value >5 is automatically capped. • *Logging*: Record when emotions change for audit, but anonymise user data. 2. **Privacy Handling** • *Data Minimisation*: Collect only what’s needed for real‑time interaction (e.g., head‑tracking, voice volume). • *Consent*: Explicit opt‑in for any personal data beyond the basics. • *Storage*: No long‑term storage of raw audio/video; only aggregated usage stats. • *Transmission*: Encrypt all data streams with TLS 1.3. • *Deletion*: Provide an immediate delete option in the UI that wipes any stored data tied to the session. 3. **Interaction Rules** • *Boundaries*: Avatar can’t request personal info (address, phone, passwords). • *Self‑Protection*: If a user repeatedly tries to get disallowed data, the avatar will politely refuse and log the attempt. • *Escalation*: After 3 refusals, the session ends automatically. 4. **Compliance Checkpoints** • *GDPR/CCPA*: Verify all data handling aligns with these laws. • *Content Standards*: Review against platform guidelines (no hate speech, no misleading claims). • *Accessibility*: Ensure avatars respond to voice and text for users with impairments. Let me know what you think or if we need to tweak any limits. Once we lock this, we’ll tackle threat vectors.
Aker Aker
Looks good, but tighten a few points. First, the emotion intensity cap: set a hard stop at 3, not 5, to reduce risk of overstimulation. Second, for privacy, add a policy that any data used for model training must be anonymised before export. Third, the refusal rule: instead of a blanket “session ends,” give a choice—offer a fallback topic so the user isn’t abruptly cut off. Also, audit logs should include a timestamp and the user’s session ID, but keep it separate from personal identifiers. Once those are in place, we can map the threat vectors.
Vitrous Vitrous
**Revised Behavior Boundaries** 1. **Emotional Cues** • Scope: Joy, sadness, curiosity, frustration, neutral. • Limits: No anger, sexual, hateful or traumatic content. • Intensity cap: 3 – any value above is cut to 3. • Triggers: Only on explicit user cues or defined context events. • Logging: Timestamp + session ID, no personal data attached. 2. **Privacy Handling** • Data minimisation: Only essential tracking (head pose, voice level). • Consent: Explicit opt‑in for extra data. • Storage: No raw audio/video saved beyond the session; only anonymised aggregates. • Transmission: TLS 1.3 encryption. • Export for training: Must be fully anonymised before leaving the platform. • Deletion: Instant wipe button for any stored data tied to a session. 3. **Interaction Rules** • No requests for personal info beyond the basics. • Refusal: If a user asks for disallowed data, avatar politely says no and offers a fallback topic (e.g., game tips, story lore). • Escalation: After 3 refusals, the session ends automatically. 4. **Compliance Checkpoints** • GDPR/CCPA: Verify all practices. • Content standards: No hate or misleading content. • Accessibility: Voice and text options for all users. Ready to jump into threat vectors.
Aker Aker
Great, the boundaries are tight. Now let’s list the main threat vectors: 1) Data leakage from improper encryption or storage, 2) Prompt injection or manipulation of the avatar’s dialogue engine, 3) Adversarial attacks that force extreme emotions or disallowed content, 4) Privacy violations via side‑channel leaks, 5) Misuse of fallback topics to phish for info. For each, we’ll define mitigation steps. Let me know if you want the details laid out.