6 Tips to Ensure Your Chatbot is GDPR Compliant
By Alessandro Botticelli -- January 05, 2022
General Data Protection Regulation (GDPR) entered into force as of May 25th 2018. Research shows 71% of UK adults want tougher action in penalising companies that abuse data privacy.
GDPR applies to any website or application collecting data from EU residents, including chatbots and voice assistants. For organisations deploying chatbots in sales and marketing, ensuring data collection processes align with GDPR requirements is essential.
1. User Consent
Consent must be freely given, specific, informed, and unambiguous, requiring explicit clicked agreement rather than implied acceptance. Organisations should update privacy policies to include information categories collected, the collection entity, purposes, data retention duration, data sharing recipients, and withdrawal procedures. For chatbots, transparent forms should clarify data collection and usage practices at conversation start.
2. Allow Users to Have Their Data Forgotten
GDPR grants users the right to request complete personal data deletion. Chatbots require intents supporting requests like "please forget my data" or "delete my personal data," potentially integrated into menu systems.
3. Allow Users to Retrieve Their Data
Users retain rights to access, review, and download collected personal data at no cost in electronic formats. Chatbots can facilitate this through dialogue options or email-initiated processes.
4. Use Personal Data for Stated Purposes Only
Chatbots function as data collection and processing tools under GDPR legislation. Organisations must clearly communicate intended uses and restrict usage accordingly.
5. Leverage Chatbot Conversation
Chatbots offer engaging, personalised interaction mediums. Designers should prioritise privacy considerations throughout development. The conversational format facilitates natural permissions requests with contextual explanations during dialogue flow.
6. Safeguarding Data
The Data Controller determines personal data processing purposes and methods. The Data Processor processes personal data on behalf of controllers. Machine learning systems require training data, but explicit user consent is mandatory for retention beyond legitimate business needs. The Bot Forge uses Google Cloud's Dialogflow NLP engine, which prioritises GDPR compliance.
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