Leveraging Responsible AI Frameworks to Implement Responsible AI Systems

Leveraging Responsible AI Frameworks to Implement Responsible AI Systems

This IDC Perspective provides an overview of responsible AI systems and frameworks. With no universal guidelines and regulations available on responsible AI systems, end users may need to employ multiple tools and software. This document also provides best practices to implement responsible AI systems using diverse tools and frameworks."While the global adoption of AI capabilities has increased significantly, so are the concerns of their usage resulting in negative consequences," said Sriram Subramanian, research director, AI and Automation Software research at IDC. "Since such incidents result in reduced public trust, loss of revenue, damage to brand reputation, criminal investigations, and possibly more, IDC recommends implementing responsible AI systems proactively."

Please Note: Extended description available upon request.


Executive Snapshot
Situation Overview
Overview
What Is Responsible AI?
Accountability
Explainability
Fairness
Inclusiveness
Privacy and Security
Robustness and Security
Transparency
Top Investment Priorities
Best Practices
Advice for the Technology Buyer
Be Proactive
Expand upon MLOps Capabilities to Implement Responsible AI
Prioritize Responsible AI Capabilities in Purchasing Decisions
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Related Research
Synopsis

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