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AI Compliance Crisis 2026: Master High-Risk AI Audits Before the First Enforcement Wave Hits">
Colorado SB 24-205, signed into law in 2024, establishes a risk-based framework for the governance of artificial intelligence systems that make or substantially inform consequential decisions affecting Colorado consumers. This session delivers a detailed analysis of the statute's scope, key definitions, and obligations for both developers - who create and train AI systems - and deployers - who use those systems in business contexts. Participants will explore how the law defines 'high-risk AI systems,' the categories of consequential decisions covered (including employment, credit, housing, education, and healthcare), and how algorithmic discrimination protections apply. The webinar will also address practical compliance requirements including consumer disclosures, risk assessments, governance documentation, and appeal rights. Attendees will receive a compliance roadmap and understand how Colorado's AI Act interacts with federal law and other state-level AI regulations emerging across the U.S.
Colorado has enacted one of the most comprehensive state-level AI governance laws in the United States, taking effect February 1, 2026. Colorado SB 24-205 imposes significant obligations on developers and deployers of high-risk AI systems - including requirements around algorithmic discrimination, consumer notifications, impact assessments, and human oversight. Organizations operating in Colorado or deploying AI systems that impact Colorado residents must act now to understand their legal obligations and build compliant AI governance programs. This webinar provides an in-depth walkthrough of the Act's requirements, practical compliance strategies, and the operational changes needed to meet the law's mandates before enforcement begins. Compliance professionals, legal counsel, and technology leaders will find this session essential for building a proactive regulatory response.
Abdur is a strategic leader focused on the intersection of artificial intelligence, cybersecurity, accounting, and regulatory risk. He helps organizations navigate complex technology environments while strengthening AI governance, security, financial accountability, internal controls, enterprise risk management, and regulatory readiness.
His work centers on the responsible adoption of artificial intelligence across enterprise systems and decision-making processes. He examines how AI governance intersects with cybersecurity, accounting, audit, privacy, compliance, legal obligations, and operational resilience, helping organizations establish practical frameworks for managing emerging risks and opportunities.
Abdur is a Certified Public Accountant (CPA) and a Certified Information Systems Auditor (CISA). He also holds AI-related certifications focused on artificial intelligence, AI governance, responsible AI, machine learning, and emerging technology risk, along with additional certifications spanning security, cloud technologies, governance, and related disciplines. His leadership reflects a multidisciplinary approach to building trustworthy, accountable, and resilient organizations in an increasingly AI-driven regulatory environment.