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IDC PeerScape: Practices for Managing Safe AI

Publisher IDC
Published Oct 14, 2025
Length 14 Pages
SKU # IDC20481061

Description

This IDC PeerScape explores how some organizations are educating employees, vendors, and partners on what safe AI is all about, why it's important, and how to maintain successful safe AI practices in a constantly evolving AI landscape."It is well understood that AI makes frequent errors — or 'hallucinations' — due to inaccurate, misleading, or incomplete data," says David Weldon, research adjunct in IDC's IT Executive Programs (IEP). "Because AI has little ability to distinguish good data from bad, it can be difficult for businesses and citizens alike to feel such lapses might not do genuine harm to people or organizations. That is where safe AI comes into play, enabling workers and organizations to place trust and confidence in their AI investments."

Table of Contents

14 Pages

IDC PeerScape Figure

Executive Summary

Peer Insights

Practice 1: Provide Training to Help Staff Understand AI's Capabilities and Limitations, and Ensure AI Vendors Meet Standards for Data Privacy, Security, and Ethical Use

Challenge

Examples

Fox Rothschild

Carnegie Mellon University

Z/Yen Group

Guidance

Practice 2: Take a Proactive and Structured Approach to AI Adoption That Ties Ethical Considerations to Business Gains

Challenge

Examples

Fox Rothschild

Carnegie Mellon University

Z/Yen Group

Guidance

Practice 3: Invest in AI Tools and Practices That Enhance Explainability and Documentation to Aid in Building Understanding and Confidence

Challenge

Examples

Fox Rothschild

Carnegie Mellon University

Z/Yen Group

Guidance

Practice 4: Test and Evaluate AI Systems Regularly for Compliance, Bias, and Security Vulnerabilities

Challenge

Examples

Fox Rothschild

Carnegie Mellon University

Z/Yen Group

Guidance

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