AI Governance & Compliance
Compliance alone won’t earn patient trust in healthcare AI. Passing audits is not enough—outcomes, fairness, and transparency matter most. This blog with IAIGH CEO Josh Baker explores how the HAIGS framework helps providers move from box-ticking compliance to demonstrable trust.
In 2025, transparency is a must. Learn how healthcare startups can publish a patient-facing AI factsheet in 30 days to meet EU AI Act, NIST, and ISO 42001 standards—while building trust with patients and payers. Includes examples, KPIs, and a free template.
Discover how Cognitiveview empowers Agile teams to integrate AI safety into every sprint—managing risks, automating compliance, and connecting seamlessly with observability tools like MLflow and SageMaker. Make compliance effortless, proactive, and audit-ready.
In today’s AI-driven world, startups can no longer afford to ignore governance. Learn the five essential AI policies—Responsible AI, Data Privacy, Explainability, Bias, and Third-Party AI—that help you close deals, build trust, and stay ahead of regulations like the EU AI Act and NIST RMF.
Understand how OMB M-25-21 is reshaping AI use in government. From CAIO roles to high-impact AI rules, we break down what agencies and vendors need to know—plus provide a compliance checklist.
Australia's mandatory AI guardrails aim to address significant risks posed by high-risk technologies across finance, healthcare, education, and public safety
AI startups face increasing pressure to prove their models are compliant, transparent, and ethical. With evolving regulations and growing enterprise demands, compliance is no longer optional—it’s a competitive advantage. This article explores how startups can simplify AI compliance.
AI governance plays a crucial role in aligning Artificial Intelligence with Environmental, Social, and Governance (ESG) goals. This guide explores how sustainable AI practices, ethical frameworks, and compliance regulations can ensure responsible AI development while minimizing risks.
AI risk management is critical for ensuring trustworthy, fair, and compliant AI systems. This guide explores NIST’s AI Risk Management Framework .
AI and Privacy: A Growing Concern AI is transforming industries, from personalized healthcare to real-time fraud detection. But as AI systems process vast amounts of data, concerns over privacy, security, and regulatory compliance have surged. How can businesses harness the power of AI while ensuring they protect user data and
What is the EU AI Act? A Step-by-Step Compliance Guide AI is reshaping industries, driving innovation, and transforming business landscapes worldwide. But as artificial intelligence becomes more integrated into our daily lives, risks around privacy, safety, and fairness have surged. Enter the EU AI Act—the world's first
AI Compliance in 2025: A Global Imperative Artificial intelligence (AI) is transforming industries, but as AI systems grow more powerful, so do the risks associated with bias, security vulnerabilities, and ethical concerns. To address these challenges, governments and regulatory bodies worldwide are establishing comprehensive AI governance frameworks. Two of the
