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50 affected consumers = $1M potential liability

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Skadden legal analysis of Colorado SB 24-205 (signed May 2024), relevant for practitioners tracking U.S. state-level AI regulation and its liability implications for AI developers and deployers.

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Summary

A legal analysis by Skadden of Colorado's SB 24-205, one of the first U.S. state laws regulating AI systems in high-risk decisions. The piece examines the law's developer and deployer obligations, anti-discrimination requirements, and significant liability exposure—up to $20,000 per violation with potential aggregate liability of $1M for affecting just 50 consumers.

Key Points

  • Colorado's AI Act imposes obligations on both developers and deployers of 'high-risk' AI systems used in consequential decisions (employment, housing, credit, healthcare, education)
  • Penalties of up to $20,000 per violation mean that just 50 affected consumers could trigger $1M in liability, creating strong compliance incentives
  • Developers must provide deployers with documentation about AI system capabilities, limitations, and known risks; deployers must implement risk management programs
  • The law requires impact assessments, consumer disclosures, and the right to appeal automated decisions—mirroring EU AI Act principles at the state level
  • Colorado's law signals a broader trend of U.S. state-level AI regulation filling the gap left by absent federal legislation

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Colorado Artificial Intelligence ActPolicy53.0

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[Skip to content](https://www.skadden.com/insights/publications/2024/06/colorados-landmark-ai-act#main-content)

Colorado has become the first state to enact a comprehensive law relating to the development and deployment of certain artificial intelligence (AI) systems. The [Colorado Artificial Intelligence Act](https://www.skadden.com/-/media/files/publications/2024/06/colorados-landmark-ai-act/2024a_205_signed.pdf?rev=44ed85a3d8dc4a9dbd6394d5ea904d48&hash=ADF46DF153FB0094ABCCA23AC4790F5D) (CAIA), which **will go into effect on February 1, 2026**, adopts a risk-based approach to AI regulation that shares some similarities with the EU AI Act.

The Colorado law may spur other states to adopt similar legislation, potentially creating a patchwork of state AI laws with which companies must comply absent any omnibus federal regulation.

## Key Points

- The CAIA is primarily focused on **high-risk artificial intelligence systems**, which is defined as any system that, when deployed, makes — or is a substantial factor in making — a “consequential decision.” As discussed further below, **consequential decisions** generally relate to those involving education, employment, financial services, housing, health care or legal services.
- The CAIA is designed to protect against **algorithmic discrimination**, namely unlawful differential treatment that disfavors an individual or group on the basis of protected characteristics.
- The law imposes various obligations relating to documentation, disclosures, risk analysis and mitigation, governance, and impact assessments for **developers** and **deployers** of high-risk AI systems.
- With respect to **_all_** AI systems that interact with consumers, deployers must ensure that consumers are aware they are interacting with an AI system.
- The state attorney general can bring an action for violations of the CAIA as an unfair or deceptive trade practice; there is no private right of action available.

## Overview

The CAIA, which was enacted on May 17, 2024, focuses on the development and deployment of “high-risk” AI systems and their potential to cause “algorithmic discrimination,” which is defined as any condition in which the use of an AI system results in an unlawful differential treatment or impact that disfavors an individual or group of individuals on the basis of their actual or perceived age, color, disability, ethnicity, genetic information, limited proficiency in the English language, national origin, race, religion, reproductive health, sex, veteran status or other classification protected under the laws of Colorado or federal law.

A “high-risk” AI system is defined as any system that, when deployed, makes — or is a substantial factor in making — a “consequential decision”; namely, a decision that has a material effect on the provision or cost of:

- education enrollment or an education opportunity,
- employment or an employment opportunity,
- a financial or lending service,
- an essential government servi

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