Blogs
AI Regulation & Standards Guides
Follow Us
Leveraging AI Governance: Moving From Compliance Burden To Competitive Edge
Artificial intelligence governance is no longer just a safeguard. It’s how leading organizations reduce risk, accelerate adoption, and build trust—especially in high-stakes sectors like finance, healthcare, and HR where the cost of failure is high.
Talent Tech Labs Debuts AI Risk Suite with FairNow Partnership
Talent Tech Labs has launched a new AI governance offering to help HR and Talent leaders manage the risks of AI. In partnership with FairNow, the solution enables independent assessments of AI systems, supports regulatory compliance, and simplifies vendor reviews. The goal: ensure responsible AI use across the workforce tech ecosystem.
AI Usage Policy: Defining Employee Acceptable AI Use
In this executive’s guide, learn how to build an AI usage policy, pulling from templates and best practice examples to define acceptable use of AI for employees.
An Executive’s Guide to the Risks of Large Language Models (LLMs)
Discover the risks of Large Language Models (LLMs), from copyright infringement to hallucinations. Learn mitigation strategies to ensure safe and ethical AI deployment with this guide for enterprise executives.
Checklist: 10 Essential AI Vendor Questions
Before you deploy AI, make sure your vendors are up to the task. This AI Risk Management Assessment checklist helps you evaluate transparency, bias testing, data practices, and regulatory compliance—so you can reduce risk, build trust, and meet emerging AI laws with confidence.
Model Card Template for AI Developers
Use this free Model Card Template to help document AI systems with clarity and rigor. Designed for an AI Developer, this editable tool covers 17 key areas—from fairness to post-deployment oversight—aligned with AI regulations and standards (e.g., ISO 42001, NIST AI RMF, and the EU AI Act)