Beware, Data Processing! Proposing Categories for Risk Communication Related to the
summary
Proposes concrete categories for risk communication grounded in GDPR analysis, a contextual model that nests event→consequence chains inside contexts, and empirical work including 32 expert interviews and case studies showing how false inferences lead to tangible harms after latent events. Recommends labeling processing operations matter (collection, storage, inference, transmission), flagging risky data types and purposes, listing likely consequences (psychological, financial, stigmatization) and concrete mitigation steps and rights; shows preliminary visualizations and plans to detect categories with large language models.
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chapters (8)
- 0:00Risk communication basics
- 1:54Informed consent challenges
- 3:18Privacy policy limitations
- 5:05Contextual privacy model
- 6:30Robert Julian Brock Williams case
- 9:42Risk categories for warnings
- 11:48Honest risk communication
- 13:11Model applications and future
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