Artificial Intelligence Resources
for Privacy, Ethics, and Responsible Use
Explore curated resources on artificial intelligence with a focus on privacy, ethics, and responsible use. Peruse AI training courses, AI cartoons for teaching, Professor Solove’s AI writings on AI and privacy, as well as expert interviews discussing key AI issues.
What are the Latest AI Courses?
These new AI training courses help organizations understand artificial intelligence risks, responsible use, and compliance obligations. Topics include AI privacy, ethics, governance, and emerging regulatory frameworks such as the EU AI Act.
European Union AI Act Course – This short, 12-minute training provides a clear and accessible overview of the EU AI Act. Prof. Solove discusses the scope of the EU AI Act, the types of unacceptable-risk AI and high-risk AI, and the various obligations of providers and deployers of high-risk AI. The course also covers AI transparency requirements and the regulation of general purpose AI.
European Union AI Act Whiteboard – The whiteboard covers the scope of the EU AI Act, the types of unacceptable-risk AI and high-risk AI, and the various obligations of providers and deployers of high-risk AI.
Free download for personal use, for a limited time.
Artificial Intelligence (AI) Course – This short, 10-minute training provides the essential information to understand, develop and use AI ethically and responsibly. Professor Solove teaches the following on AI: definition and types; benefits; ethical development and usage; as well as how to prevent and mitigate the risks.
Technology and Data Ethics Course – This short, 6-minute training course discusses key ethical principles for the creation and use of technology and data. Learn ethical guidance for the creation of AI and other new technologies, as well as the collection and use of personal data.
AI Cartoons for Learning
Professor Solove offers a range of funny cartoons on AI, algorithms and big data are designed to help organizations explain AI ethics, privacy risks, and responsible use in a simple, engaging way. These are perfect for presentations, corporate communications and team engagements. Explore the latest cartoons in the TeachPrivacy online store.
Writings on AI, Privacy, and Ethics
These new writings explore how artificial intelligence intersects with privacy law, ethical principles, and governance challenges.
The Great Scrape: The Clash Between Scraping and Privacy – Professor Solove and with Professor Woodrow Hartzog (BU Law) argue that “scraping” – the automated extraction of large amounts of data from the internet – is in fundamental tension with privacy. Scraping is generally anathema to the core principles of privacy that form the backbone of most privacy laws, frameworks, and codes.
The Prediction Society: AI and the Problems of Forecasting the Future – In this paper, Hideyuki Matsumi and Professor Solove argue that the use of algorithmic predictions is a distinct issue warranting different treatment from other types of inference.
A Regulatory Roadmap to AI and Privacy – This short essay for IAPP News is summary of Professor Solove’s longer article, Artificial Intelligence and Privacy.
Artificial Intelligence and Privacy – Professor Solove provides the conceptual and practical ground work for how to understand the relationship between AI and privacy as well as provide a roadmap for how privacy law should regulate AI.
AI, Algorithms, and Awful Humans – In this short, fun essay, Daniel Solove and Hideyuki (“Yuki”) Matsumi (Vrije Universiteit Brussel) contend that various arguments about human versus machine decision-making fail to account for several important considerations regarding how humans and machines decide.
AI Interviews with Experts
Professor Solove interviews AI experts about current AI issues including regulation, enforcement trends, and organizational best practices. Stay informed about rapidly evolving AI developments.
Privacy of the Mind – Daniel Solove interviews Nita Farahany (Duke Law), author of The Battle for Your Brain, about the latest developments in mental privacy and neurotechnology.
AI Chatbots and the Law – AI chatbots are raising many legal issues, and legislatures have responded by passing several laws. Many bills are on the horizon. In this discussion, Daniel Solove (GW and TeachPrivacy) and Kristen Mathews (Cooley) talk about the regulation in this area and its future direction.
What’s New in Privacy & AI Law? – AI Privacy and AI law haven’t been sitting still; there have been many new developments. Daniel Solove chats with Jodi Daniels (Red Clover Advisors) about what has been happening.
The Future of AI Regulation and Governance – AI regulation and governance is at a crossroads. A debate rages about whether current laws are too strict; efforts to halt or weaken regulation are underway. While internal governance for AI is emerging, it is still unclear whether there are any uniform standards or much rigor to these efforts. Professor Daniel Solove and Emerald de Leeuw-Goggin discuss what is going on at the moment and the different paths forward.
AI and Privacy Collide – Daniel Solove interviews Leila Golchehreh (Relyance AI) and Alexei Klestoff (ZwillGen). They cover the key events of 2024 and why 2025 will be a pivotal year for rewriting the rules for AI and privacy.
Beyond Compliance in Privacy and AI Access – Daniel Solove interviews Jessica Lee about how the CPO/DPO role is expanding beyond privacy to encompass data ethics and AI.
Evaluation the EU AI Act – Professor Solove, Calli Schroeder (Electronic Privacy Information Center) and Brenda Leong (Luminos.Law) discuss the EU AI Act. What are the law’s strengths and weaknesses? Is it the best general approach to regulate AI?
The FTC, Privacy, and AI – Professor Daniel Solove and Maneesha Mithal discuss recent FTC enforcement actions, algorithmic deletion, the FTC’s current rulemaking, enforcement of the health breach notification rule, the FTC’s role in regulating AI, and other issues.
Trust: What CEOs and Boards Must Know About Privacy and AI – Professor Daniel Solove interviews Dominique Shelton-Leipzig (Mayer Brown) about why the C-Suite and Board must address privacy. Dominique is the author of a new book on this topic, Trust.: Responsible AI, Innovation, Privacy and Data Leadership. What should the C-Suite and Boards know about privacy and AI?
The Brussels Effect and Digital Empires: Global Privacy and AI Regulation – A discussion with Anu Bradford about her new book, Digital Empires: The Global Battle to Regulate Technology (Oxford 2023).
Facial Recognition and the Dubious Side of AI – Professor Daniel Solove interviews New York Times reporter Kashmir Hill about her new book, Your Face Belongs to US: A Secretive Startup’s Quest to End Privacy as We Know It (Sept. 19, 2023).
The Quantified Worker: AI and Employment – Increasingly, AI is being used in hiring decisions and for other employment purposes. Workers are placed under extensive surveillance. This webinar discusses the issues raised by an important and eye-opening new book by Ifeoma Ajunwa, The Quantified Worker: Law and Technology in the Modern Workplace.
Is AI Policy a Privacy Issue? – In a provocative essay, Omer Tene wrote that privacy policymakers should be cautious in rushing in to address AI because “AI raises a wide variety of policy issues – most of which have little to do with privacy” and when “your only tool is a hammer, you treat everything as a nail.” In this webinar, we discuss and debate this issue with Omer.
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