Nina Frant, Sean Quinn

Exploration of privacy, competition, and regulatory issues arising from image and video (“multimedia”) inputs and outputs. Are there different concerns for video, image, and computer vision models? Can regulations around multimedia inputs help predict the future regulatory risks for connected cities and autonomous vehicles? What is the impact of authoritarian regimes willingness and desire to develop exactly the type of privacy-invasive AI systems we are concerned about here?

Nina Frant, Special Counsel, Freshfields
Sean Quinn, Counsel, Freshfields

Reading Materials:

Technical Summaries

  1. Center for Research on Foundation Models, On the Opportunities and Risks of Foundation Models, Stanford University, 2021
    https://crfm.stanford.edu/assets/report.pdf
  2. Wu, B., Lin, J., Zhang, J., et al., Text-to-image Diffusion Models in Generative AI: A Survey, arXiv, 2024

https://arxiv.org/pdf/2303.07909

  1. Yan, Z., Zhu, Y., Wang, J., et al., Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond, arXiv, 2024 [Surveys and Experiments]

https://arxiv.org/pdf/2409.14993

  1. Khan, A., Sohail, A., Zahoora, U., & Qureshi, A. S., Deep Learning for Computer Vision: A Brief Review, Mathematical Problems in Engineering, Hindawi, 2018
    https://onlinelibrary.wiley.com/doi/full/10.1155/2018/7068349
  2. Krizhevsky, A., Sutskever, I., & Hinton, G. E., ImageNet Classification with Deep Convolutional Neural Networks, NeurIPS, 2012

https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf

Regulatory Commentary

  1. Federal Trade Commission, FTC Proposes New Protections to Combat AI Impersonation of Individuals, Press Release, February 2024
    https://www.ftc.gov/news-events/news/press-releases/2024/02/ftc-proposes-new-protections-combat-ai-impersonation-individuals
  2. Federal Trade Commission, Generative Artificial Intelligence and the Creative Economy: Staff Report, December 2023]
    https://www.ftc.gov/system/files/ftc_gov/pdf/12-15-2023AICEStaffReport.pdf
  3. Federal Trade Commission, Tech Summit on Artificial Intelligence: Consumer Facing Applications, April 2024   https://www.ftc.gov/system/files/ftc_gov/pdf/ConsumerApps-QuoteBook-BOOK.pdf
  4. Federal Trade Commission, Remarks by Chair Lina M. Khan at the Open Technology Institute Tech Summit, January 25, 2024
    https://www.ftc.gov/system/files/ftc_gov/pdf/2024.01.25-chair-khan-remarks-at-ot-tech-summit.pdf
  5. Federal Communications Commission, In the Matter of Lingo Telecom, LLC, Enforcement Order DA-24-790, 2024
    https://docs.fcc.gov/public/attachments/DA-24-790A1.pdf
  6. Federal Trade Commission, FTC v. Rite Aid Corporation, Case No. 2023190, March 8, 2024
    https://www.ftc.gov/legal-library/browse/cases-proceedings/2023190-rite-aid-corporation-ftc-v
  7. International Association of Privacy Professionals (IAPP), Global AI Law and Policy Tracker, IAPP, 2024 [Policy Tracker]

https://iapp.org/media/pdf/resource_center/global_ai_law_policy_tracker.pdf

  1. International Association of Privacy Professionals (IAPP), US State AI Governance Legislation Tracker, IAPP, 2024 [Policy Tracker]

https://iapp.org/media/pdf/resource_center/us_state_ai_governance_legislation_tracker.pdf

  1. The White House, Executive Order 14179: Removing Barriers to American Leadership in Artificial Intelligence, Presidential Executive Action, 2025
    https://www.whitehouse.gov/presidential-actions/2025/01/removing-barriers-to-american-leadership-in-artificial-intelligence
  2. National Institute of Standards and Technology (NIST), AI Risk Management Framework, U.S. Department of Commerce, 2023
    https://www.nist.gov/itl/ai-risk-management-framework

Legal Analysis

  1. West, D. M., The Three Challenges of AI Regulation, Brookings Institution, 2023
     https://www.brookings.edu/articles/the-three-challenges-of-ai-regulation
  2. Brundage, M., & Bryson, J., When Code Isn’t Law: Rethinking Regulation for Artificial Intelligence, Brookings Institution, 2022 https://people.eecs.berkeley.edu/~russell/papers/russell-policyandsociety24-codelaw.pdf
  3. Cave, S., Whittlestone, J., & Nyrup, R., Rationales, Mechanisms, and Challenges to Regulating AI: A Concise Guide and Explanation, Centre for the Governance of AI, 2021 https://ai.gov/wp-content/uploads/2023/07/Rationales-Mechanisms-Challenges-Regulating-AI-NAIAC-Non-Decisional.pdf
  4. Xiang, Alice., Being “Seen” Versus “Mis-Seen”: Tensions Between Privacy and Fairness in Computer Vision, Harvard Journal of Law & Technology, Vol. 36, 2023
    https://jolt.law.harvard.edu/assets/articlePDFs/v36/Xiang-Being-Seen-Versus-Mis-Seen.pdf

 

Nina Frant

Special Counsel
Freshfields

Sean Quinn

Counsel
Freshfields

Category: Uncategorized