Tackling AI Governance in Your Organization
This IDC Perspective explores the complexities of establishing AI governance within organizations, highlighting the critical need for a unified governance model. It discusses the challenges of fragmented governance, skill shortages, and reactive approaches, while explaining the importance of integrating governance with strategy. The document outlines IDC's unified AI governance framework, which includes technical, ethical, and compliance elements, and stresses the significance of external factors, organizational culture, and sustainability in achieving responsible AI outcomes."AI governance isn't dull; it's a strategic necessity. Fail to govern, and your AI could turn into a liability faster than you think." — Group Vice President Duncan Brown, IDC EMEA
Executive Snapshot
Situation Overview
Overview
Governance Is Strategy
AI Governance Can Be Interesting — But Hopefully Not Too Interesting
AI Governance Is Hard
A Unified Framework for AI Governance
External Factors
Strategy and Oversight
Organization and Culture
Governance Processes
Assess
Operate
Monitor
AI Architectural Elements
Data
AI Platforms
Applications
Infrastructure
Responsible AI as an Outcome
Do Not Forget Sustainability
Advice for the Technology Buyer
Align Governance with Strategy
Navigate Toward a Unified AI Governance Model
Do Not Forget People and Culture
Learn More
Related Research
Synopsis
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