HN
Helen Nissenbaum
Professor of Information Science
Cornell Tech
Developing the theory of 'contextual integrity' as a framework for privacy.
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Reinforcing privacy reasoning in LLMs via normative simulacra from fiction
Information handling practices of LLM agents are broadly misaligned with the contextual privacy expectations of their users. Contextual Integrity (CI) provides a principled framework, defining privacy as the appropriate flow of information within context-relative norms. However, existing approaches either double inference cost via supervisor-assistant architectures, or fine-tune on narrow task-specific data. We propose extracting normative simulacra (structured representations of norms and infor
Technology, autonomy, and manipulation
People are increasingly concerned that data collectors can use information about them to subtly influence their decision-making—what is often called “online manipulation”. To further efforts at combating such strategies, this paper defines “online manipulation” and explores the harms it threatens.