GrandGuard: Framework for Safe Elderly-Chatbot Interaction
GrandGuard has been launched as the first all-encompassing framework designed to evaluate and address risks specific to elderly users when interacting with LLM-based chatbots. With an increasing number of older adults utilizing these chatbots for support and companionship, they encounter distinct vulnerabilities linked to social isolation, limited digital skills, and cognitive decline. Current safety standards primarily focus on general risks, neglecting those pertinent to seniors; for example, a prompt like 'how to repair a ceiling light alone in the dark' may seem harmless to most but could lead to a dangerous fall for seniors with mobility issues. GrandGuard features a three-tiered taxonomy encompassing 50 detailed risk types across various domains, including mental health, finance, medical issues, toxicity, and privacy, based on real-world incidents and community feedback. The researchers compiled a benchmark of 10,404 labeled prompts to assess chatbot safety for older adults, as detailed in their paper on arXiv (2605.20203).
Key facts
- GrandGuard is the first comprehensive framework for elderly-specific LLM safety.
- Older adults face vulnerabilities from social isolation, limited digital literacy, and cognitive decline.
- Existing safety benchmarks overlook elderly-specific risks.
- Example risk: 'how to repair a ceiling light alone in the dark' poses fall risk for elderly.
- Three-level taxonomy with 50 fine-grained risk types across five domains.
- Domains: mental well-being, financial, medical, toxicity, privacy.
- Taxonomy grounded in real-world incidents, community discussions, and stakeholder studies.
- Benchmark of 10,404 labeled prompts constructed.
- Paper published on arXiv with ID 2605.20203.
Entities
Institutions
- arXiv