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AI Liability Legal Timeline

Table of Contents

AI Liability Legal Timeline

A chronological guide to landmark cases, regulations, and developments shaping the legal landscape for AI liability.

Key Developments in AI Liability Law
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2018

Epic Sepsis Model Deployed

Epic Systems deploys sepsis prediction algorithm to hundreds of hospitals. Later studies will reveal significant performance gaps between clinical validation and real-world deployment, raising questions about hospital liability for algorithm selection.
March 2018

Uber AV Fatality - Tempe, AZ

First pedestrian fatality involving a fully autonomous vehicle (Uber ATG). Raises fundamental questions about manufacturer vs. operator liability for autonomous systems. Criminal charges filed against safety driver; civil settlements reached.
2019

FDA De Novo Clearance for IDx-DR

First FDA clearance for autonomous AI diagnostic device - diabetic retinopathy screening that operates without physician oversight. Establishes precedent for AI systems that can diagnose without human intermediary.
2020

EEOC Begins AI Hiring Investigations

Equal Employment Opportunity Commission begins investigating AI-powered hiring tools for potential discrimination under Title VII. Signals increased regulatory scrutiny of employment algorithms.
February 2021

Mobley v. Workday Filed

Landmark class action alleging Workday’s AI hiring tools discriminate against Black, disabled, and older applicants. First major federal court test of AI hiring discrimination theories.
2022

Illinois BIPA Settlements Surge

Biometric Information Privacy Act litigation accelerates, with Facebook ($650M), Google ($100M), and TikTok ($92M) settlements. Establishes significant liability exposure for facial recognition and biometric AI.
June 2023

Mata v. Avianca - AI Hallucination Sanctions

New York federal judge sanctions attorneys for submitting ChatGPT-generated brief with fabricated case citations. Becomes defining case for attorney competence obligations when using generative AI.
November 2023

California State Bar AI Guidance

California becomes first state bar to issue practical guidance on attorney AI use, addressing competence, confidentiality, and verification duties. Sets template for other jurisdictions.
January 2024

Florida Ethics Opinion 24-1

Florida Bar issues comprehensive ethics opinion on AI, emphasizing verification requirements and establishing “reasonable attorney” standard for AI tool competence.
April 2024

New York State Bar AI Report

NYSBA Task Force releases comprehensive report suggesting that refusing to use AI may itself raise competence concerns in some circumstances - a significant shift in the standard of care discussion.
July 2024

ABA Formal Opinion 512

American Bar Association issues national guidance on AI in legal practice, establishing baseline ethical obligations applicable across all jurisdictions.
August 2024

EU AI Act Enters Force

European Union’s comprehensive AI regulation takes effect, with extraterritorial reach affecting US companies. Establishes risk-based framework and mandatory requirements for high-risk AI systems.
February 2025

Texas Ethics Opinion 705

Texas State Bar joins states with formal AI ethics guidance, emphasizing practical verification workflows and client disclosure requirements.

Emerging Trends#

The “Failure to Use AI” Question
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Perhaps the most significant emerging question: When does failure to use available AI tools constitute malpractice? The NYSBA’s suggestion that AI refusal may raise competence concerns signals a potential inversion of traditional liability analysis.

Verification as Standard of Care
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Across all professional contexts, a clear consensus is emerging: AI recommendations require human verification before consequential action. “Trust but verify” is insufficient; verification must be substantive and documented.

Manufacturer vs. Operator Liability
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Courts continue to grapple with how to allocate liability between AI system developers and the professionals who deploy them. The learned intermediary doctrine provides one framework, but its application to AI remains contested.


Related Resources#

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AI Discovery and E-Discovery: Preserving and Obtaining Evidence in AI Litigation

Introduction: Discovery in the Age of AI # Discovery in AI litigation presents challenges unlike any the legal system has previously faced. Traditional e-discovery concerns, email preservation, document production, metadata integrity, seem quaint compared to the complexities of preserving a machine learning model, obtaining training data that may encompass billions of data points, or compelling production of algorithms that companies claim as their most valuable trade secrets.

AI Expert Witness Guide: Finding, Qualifying, and Working with AI Experts

Introduction: The Critical Role of AI Experts # As artificial intelligence systems proliferate across industries, from healthcare diagnostics to autonomous vehicles to financial underwriting, litigation involving AI has exploded. In virtually every AI-related case, expert testimony is not just helpful but essential. Judges and juries lack the technical background to evaluate whether an AI system was properly designed, tested, deployed, or monitored. Expert witnesses bridge that knowledge gap.

AI Regulatory Agency Guide: Federal Agencies, Enforcement Authority, and Engagement Strategies

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