Algorithmic Accountability

Algorithmic accountability refers to the legal and governance requirements that organizations ensure automated or AI-driven systems are transparent enough to understand, fair in their outcomes, and subject to oversight. It often includes duties to assess and mitigate bias or harms, document how the system works, enable auditing, and provide explanations or remedies when decisions affect people.

How to Comply With Colorado’s AI Act (SB 24-205) When Using AI to Screen Job Applicants in 2026

How to Comply With Colorado’s AI Act (SB 24-205) When Using AI to Screen Job Applicants in 2026

AI Ethics and Compliance /

Colorado’s AI Act (SB 24-205) requires Colorado employers using AI to screen applicants in 2026 to implement documented risk management, provide applicant notices, enable certain opt-out/human-review paths, and monitor for discrimination. The law targets “high-risk” AI systems used in consequential decisions like employment and will be enforced by the Colorado Attorney General. This article explains […]

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How to Challenge an AI Hiring Tool in New York City Under Local Law 144 and Anti-Discrimination Rules

How to Challenge an AI Hiring Tool in New York City Under Local Law 144 and Anti-Discrimination Rules

Artificial Intelligence Rights /

New York City Local Law 144 requires employers using automated employment decision tools (AEDTs) to conduct an annual “bias audit” and publish key audit details before using the tool on NYC applicants. In practice, many employers still deploy AI screening systems that can disadvantage protected groups or violate notice rules. This article explains how to

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State AI bills surge in first 30 days of 2026

The Shocking Number of State AI Bills Introduced in the First 30 Days of 2026

Artificial Intelligence, Consumer Protection & Privacy, Emerging Technology Trends, State Legislation, Technology Policy & Regulation /

In the first 30 days of 2026, state lawmakers introduced a record-breaking wave of AI-related bills across the U.S., signaling an aggressive shift toward regulating artificial intelligence at the state level. The surge reflects growing urgency around AI privacy, bias, safety, and accountability—and increases compliance risk for companies operating nationwide. This article breaks down the

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