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How to Identify and Prevent Bias in LLM Algorithms
This comprehensive guide covers how biases emerge in LLMs, their societal impacts, and actionable strategies to mitigate discrimination – ensuring fair, responsible AI use.
AI Governance in Talent Assessments: Why Fairness and Transparency Are Non-Negotiable
Learn more about the crucial role of AI governance in talent assessments with insights from guest columnist and Plum CEO, Caitlin MacGregor.
![What Is California’s “AI Safety Bill” (SB 1047), and Why Is Everyone Talking About It? [Updated]](https://fairnow.ai/wp-content/uploads/2024/08/What-Is-California-SB-1047-and-Why-Is-Everyone-Talking-About-It-1080x675.png)
What Is California’s “AI Safety Bill” (SB 1047), and Why Is Everyone Talking About It? [Updated]
Explore California SB 1047 and its AI safety mandates. A high-level overview for executives on the bill’s implications, key requirements, and why it’s sparking widespread debate.
FairNow Chosen by HR Technology Leaders for AI Governance and Regulatory Needs
FairNow swiftly establishes itself as the trusted AI governance platform for HR technology vendors committed to ensuring fair, compliant, and trustworthy AI.
OpenAI Announces Its First Model with “Reasoning” Capabilities: What Business Leaders Need to Know About “o1,” Code-Named “Strawberry”
For business leaders: Learn more about OpenAI’s “o1” model, how chain-of-thought reasoning works, and the pros and cons of integrating it into your AI strategy.
AI Governance Framework: Implement Responsible AI in 8 Steps
An 8-step AI governance framework informed by the NIST AI RMF, ISO 42001, and industry best practices. Learn how to implement responsible AI practices including AI inventorying, AI risk assessments, AI compliance, and vendor management.