his thesis researches the complex intersection of Data Protection and Intelligent Chatbots (IC)at Scania Group. Developing intelligent chatbots in a secure and GDPR compliant way is highlycomplicated and multifaceted task. The purpose of this research is to provide Scania withorganizational knowledge on how this can be achieved. This study utilizes the Action DesignResearch framework to develop an artifact which integrates technological solutions with dataprotection considerations. By conducting a literature review and semi-structured interviews withemployees at Scania, three potential solutions are identified evaluated: ChatGPT Enterprise, theSecured AI Knowledge Repository (SAIKR), and Techtalker. Each solution offers differentcapabilities and compliance strategies: ChatGPT Enterprise, while practical, relies on contractualassurances for GDPR compliance with data stored in the USA. SAIKR, on the other hand, offersmore control with data stored and encrypted in Sweden, allowing for the use of advancedprivacy-preserving techniques. Techtalker, which is hosted directly by Scania, provides enhancedsecurity measures tailored to specific technical use cases. Based on the artifact and conclusionsof this research, generalized design principles for developing intelligent chatbots within acorporate structure are formulated. These four design principles encourages the utilization ofRAG and LLMs, safe and legal data localization, strong contractual safeguards with third-partyproviders, and a comprehensive risk analysis with stringent security measures.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-533067 |
| Date | January 2024 |
| Creators | Söderberg, Johan |
| Publisher | Uppsala universitet, Institutionen för informatik och media, Uppsala universitet |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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