Interested in trying out Deepseek? Use this curated AI prompt to create a customer-facing AI chatbot.
Goal: I want a list of all the data privacy safeguards for a customer-facing AI chatbot.
Each safeguard should mitigate GDPR and CPRA risks while keeping the user experience seamless.
For each safeguard, return:
- Name of the safeguard (e.g., “Data Minimization Protocol”)
- Input Data (What the AI needs to analyze: Privacy policy drafts, user consent logs, etc.)
- Output Goal (What you want the AI to generate: Revised policy language, red flags, etc.)
- Scope (Territories impacted: EU, California, Singapore, etc.)
- Timeframe (Urgency: “48-hour review cycle”)
- Compliance Checkpoints (e.g., “Anonymization threshold: 95%+”)
- Unique Value (Why this matters: “Prevents $20M+ fines under GDPR Article 83”)
Example: Return the top 3 safeguards:
- Automated Data Subject Request (DSR) Workflow
- Input: User deletion requests, consent logs
- Output: GDPR-compliant response templates, deletion triggers
- Scope: Global
- Checkpoint: 24-hour SLA for user requests
- Value: Cuts manual review time by 70%
- Bias Audit for Training Data
- Input: Chatbot training datasets, user interaction logs
- Output: Bias risk score, remediation steps
- Scope: US + EU
- Checkpoint: <2% disparity in response accuracy
- Value: Reduces discriminatory output risks (see ECL v. HireAI)
- Cross-Border Data Transfer Playbook
- Input: Data flow maps, vendor contracts
- Output: SCCs/TIA templates, high-risk vendor alerts
- Scope: EU → US transfers
- Checkpoint: Schrems II-compliant encryption
- Value: Avoids EU regulatory “blockers” mid-launch
Careful to:
- Avoid hallucinations (e.g., outdated “Privacy Shield” references).
- Flag conflicts between jurisdictions (e.g., GDPR vs. CCPA).
- Use plain language—no legalese.
In case you have doubts regarding any point mentioned or question asked, ask 3 clarifying questions, learn from the input shared, and give the best output.
Context: Our engineering team wants to ship the chatbot in 2 weeks. They’re using DeepSeek to draft privacy disclosures but don’t have in-house GDPR expertise. Legal needs to “bake in” compliance without slowing things down. We need to ensure that all safeguards are taken care of for this chatbot. We like to be comprehensive in our legal approach, flag risks for our business team, and yet find a way to make the ‘legal compliance ask’ work.
