Privacy, AI, and Tech Works Worth Your Attention

2026-06-22 · Source: TeachPrivacy · Field: Legal & Regulatory — Compliance & Risk Management, Regulatory Affairs & Government Relations, Criminal Law & Public Safety · Depth: Intermediate, medium

Summary

This curated list by Daniel J. Solove examines recent works on privacy, AI, and technology, revealing critical legal and ethical challenges. Several authors highlight the need for AI governance to extend beyond development to post-deployment user interactions, addressing issues like misassigned responsibility for generative AI's impacts and the "structural opacity" of chatbot data handling. Concerns are raised about AI predictions acting as "veiled prescriptive assertions" and the "Deferred Privacy Breach" risk from quantum computing on encrypted data. The collection also explores the dangers of online vigilantism and refutes the "privacy is theft" argument, emphasizing privacy as a fundamental right. Discussions include the importance of a "right to obscurity" for victim safety against data brokers, the inadequacy of current privacy laws for sensitive chatbot conversations, and the legal risks of sharing Electronic Health Records with AI chatbots not covered by HIPAA. The works collectively underscore technology's complex effects on human nature and the need for more nuanced regulation.

Key takeaway

For legal professionals and policymakers navigating AI and privacy regulation, you must recognize the inadequacy of current frameworks. Focus on developing policies that account for post-deployment AI impacts, protect sensitive data shared with non-covered AI entities, and enshrine a "right to obscurity" against data brokers. Your efforts should prioritize user-centric governance and adapt laws to technological realities like quantum computing threats, rather than relying on outdated concepts of "computational permanence" or federal preemption.

Key insights

AI's pervasive integration demands a re-evaluation of privacy laws, governance models, and individual rights, particularly concerning data usage and accountability.

Principles

• AI governance must extend to post-deployment user interactions.
• Privacy is a fundamental right, not a raw material.
• Legal frameworks must adapt to AI's technological realities.

In practice

• Do not confuse generative AI fluency with consciousness.
• Recognize AI predictions as potentially prescriptive.
• HIPAA does not protect EHR data shared with non-covered AI chatbots.

Topics

• AI Governance
• Data Privacy Law
• Chatbot Privacy
• Quantum Computing Threats
• Right to Obscurity
• Online Vigilantism

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Legal Professional, AI Ethicist, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by TeachPrivacy.