A.I. GRC: The Governance, Risk Management & Compliance of A.I.



A.I. GRC The Governance, Risk Management & Compliance of Artificial Intelligence

Artificial Intelligence (A.I.) has emerged as a disruptive force, propelling organizations into the future. Its transformative capabilities promise efficiency, accuracy, and scalability, providing a significant competitive edge. However, alongside the immense potential, A.I. usage poses unique risks and challenges that organizations must acknowledge and address.

A.I. is rapidly growning in variety, complexity, and use within organizations. It is quickly moving from tactical focus to a strategic pillar that provides the infrastructure and backbone for strategy and decisions at all levels of the organization. Time and evolution of A.I. left ungoverned bring forth loss and potential disaster. Unfortunately, many organizations lack governance and architecture for A.I. risk management. Organizations need to provide a structured approach for A.I. governance, risk management, and compliance that addresses the A.I. governance, lifecycle, and architecture to manage A.I. and mitigate the risk they introduce while capitalizing on the significant value of A.I. when properly used.

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Table of Contents

  • The Challenges of Artificial Intelligence

    • Increasing Regulatory & Legal Pressure on A.I.

    • How A.I. Works

    • When A.I. Fails

  • A.I. GRC: The Governance, Risk Management & Compliance of A.I.

  • A Firm Foundation for A.I. GRC

    • A.I. GRC Oversight

      • A.I. Governance Committee

    • A.I. GRC Policies & Procedures

    • A.I. Inventory

    • A.I. GRC Lifecycle

    • A.I. GRC Architecture

      • Modeling’ the A.I. Models

      • Information Architecture

      • Technology Architecture

  • GRC 20/20’s Final Perspective

  • About GRC 20/20 Research, LLC

  • Research Methodology

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