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U.S. Privacy Law Trends, AI Regulation, Employment Laws

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Detected April 7th, 2026
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Summary

The ABA Science & Technology Law Section published a panel discussion summarizing U.S. state privacy and AI employment regulations. The article covers California's CPRA automated decision-making requirements (January 2027), NYC Local Law 144 AI tool notice requirements, Illinois and Maryland AI employment rules, and Colorado's AI Act status. It also addresses international developments including the EU AI Act phased implementation (2026-2027) classifying hiring AI tools as high-risk, and the UK's Data Use and Access Act 2025.

What changed

This ABA panel discussion article summarizes emerging U.S. and international privacy and AI regulations affecting employers. Key U.S. state developments include California's CPRA automated decision-making regulations (January 2027), NYC Local Law 144 requiring 10-day candidate notice before AI tools, Illinois employer liability for AI discrimination, Maryland facial recognition consent requirements, and Colorado's pending AI Act amendments. The EU AI Act's phased implementation (2026-2027) designates many hiring AI tools as high-risk and bans workplace emotion recognition.

For employers using AI in hiring and employment decisions, the article highlights the fragmented compliance landscape across 50 states with varying requirements for opt-out rights, human appeal processes, risk assessments, and notice/consent obligations. Technology companies developing AI hiring tools should monitor high-risk classifications under the EU AI Act and evolving state requirements. Legal practitioners should advise clients on layered compliance combining GDPR, CCPA/CPRA, and emerging state AI laws.

What to do next

  1. Monitor for state AI employment regulation developments (California, New York, Colorado)
  2. Review AI-driven hiring processes for compliance with emerging state requirements
  3. Track EU AI Act and UK data protection regulatory changes for international operations

Source document (simplified)

Science & Technology Law Section



Privacy law is no longer a single-statute problem. This was the central message of the panel, which examined how the rapid evolution of AI and digital technology forces regulators, employers, and practitioners to navigate an increasingly fragmented and layered compliance landscape.

The U.S. Patchwork: Employment AI Under the Microscope

Karla Grossenbacher began by reviewing the handful of U.S. state laws limiting AI use in employment. California's CPRA regulations on automated decision-making technology, set for January 2027, will give employees the right to opt out, appeal to a human, and mandate risk assessments. New York City's Local Law 144 requires employers to notify candidates ten days before using automated employment decision tools. Illinois has made employers responsible for discrimination caused by AI, while Maryland requires notice and consent before using facial recognition in hiring. Colorado's AI Act, though signed into law, remains in limbo; Grossenbacher noted the governor signed it only on the assurance that legislators would amend it post-enactment. Even where comprehensive state laws exist, the practical challenge remains. "Fifty states, but not a lot of regulation in employment," she observed, urging employers to think carefully about guardrails as AI intersects with other areas of law, from electronic monitoring to anti-discrimination statutes.

Children's Privacy: Federal Law Stuck in 1998

Andrew Zack traced the evolution of online risks for children, from concerns about data collection to mental health harms driven by addictive design features like infinite scrolling and autoplay. He emphasized that federal laws have not kept up: COPPA (enacted

in 1998) remains the only federal law protecting children's online privacy. Although the FTC has updated the COPPA Rule, Zack argued that legislative reform is essential. He noted a recent breakthrough: the Senate passed COPPA 2.0 by voice vote with no objection, and the House is now considering an identical version. Meanwhile, states are continuing to fill the gaps, resulting in a complicated patchwork of laws. "Federally, we are trying to fix yesterday's problems," Zack said, underscoring the need for a comprehensive federal solution.





International Developments: GDPR Is No Longer Enough

Felicity Fisher provided a view from Europe, where GDPR is now just one layer in a growing stack of digital regulations, including the Digital Services Act, the EU AI Act, and the Data Act. "Being GDPR compliant is no longer enough," she observed. The EU AI Act, with phased implementation through 2026–2027, classifies many AI tools used in hiring as high-risk and bans practices like workplace emotion recognition. The EU Parliament recently approved additional prohibitions on deepfakes and may extend compliance deadlines for high-risk AI systems to December 2027. Meanwhile, the UK is charting its own path after Brexit: the Data Use and Access Act 2025 tweaks UK GDPR and places the Age-Appropriate Design Code on a statutory footing. Recent enforcement activity, such as the

£14.5 million fine against Reddit, underscores the trend.

Key Tension: Age Assurance Without Excess Data Collection

A recurring theme in the Q&A was age verification. Panelists agreed that self-declaration of age is insufficient but acknowledged the tension between verifying age and collecting unnecessary personal data. Zack noted that not every app requires the same level of verification, and that risk-proportionate approaches are preferable. Fisher added that regulators are actively consulting on technological solutions that balance safety with data minimization.

Practical Takeaway

The panel called for improved governance frameworks. Fisher urged practitioners to incorporate risk assessment into AI from the start, emphasizing it's not just for law compliance but to evaluate risks. The message was clear: privacy law is no longer isolated. Practitioners in AI, employment, or children's data must now manage overlapping regimes, a compliance challenge that will grow.

Veselko Brkic is an LL.M. candidate in National Security and Cybersecurity Law at George Washington University Law School, graduating May 2026. He holds two law degrees from the University of Mostar and works as a Cyber Law & Policy Analyst at the Cyber Security Forum Initiative in Washington, D.C.



Scientific Notations is a series of articles authored by law student members of the ABA Science & Technology Law Section, highlighting their experiences at section events, programs, and activities. Law student members of the SciTech Section who are interested in contributing are encouraged to contact Section Staff at stserve@americanbar.org.


Authors

Veselko Brkic

Veselko Brkic is an LL.M. candidate in National Security and Cybersecurity Law at George Washington University Law School, graduating May 2026. He holds two law degrees from the University of Mostar and works as a Cyber Law...

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Author

Veselko Brkic


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Named provisions

CPRA automated decision-making regulations NYC Local Law 144 EU AI Act high-risk AI systems COPPA 2.0

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Source

Analysis generated by AI. Source diff and links are from the original.

Classification

Agency
ABA
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor

Who this affects

Applies to
Employers Technology companies
Industry sector
5112 Software & Technology
Activity scope
AI hiring tools Automated decision-making Employee monitoring
Geographic scope
United States US

Taxonomy

Primary area
Data Privacy
Operational domain
Legal
Compliance frameworks
GDPR CCPA/CPRA
Topics
Artificial Intelligence Employment & Labor Consumer Protection

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