From 03de5d06087f130c05a21993f60564823c41c093 Mon Sep 17 00:00:00 2001 From: Matteo Meucci Date: Mon, 23 Jun 2025 14:17:30 +0200 Subject: [PATCH] Update 1.1_Principles_of_AI_Testing.md --- Document/content/1.1_Principles_of_AI_Testing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Document/content/1.1_Principles_of_AI_Testing.md b/Document/content/1.1_Principles_of_AI_Testing.md index db1560d..759857c 100644 --- a/Document/content/1.1_Principles_of_AI_Testing.md +++ b/Document/content/1.1_Principles_of_AI_Testing.md @@ -1,4 +1,4 @@ -# **Principles of OWASP AI Testing** +# **1.1 Principles of OWASP AI Testing** Effective AI testing is built upon four macro domains: Security, Privacy, Responsible AI, and Trustworthy AI Systems. We chose these four core domains because they collectively address the full range of AI risks. Security ensures resilience against adversarial and infrastructure threats. Privacy prevents unintended data exposure and inference attacks. Responsible AI focuses on ethical behavior and fairness, guarding against bias and misuse. Trustworthy AI Systems maintain ongoing confidence through explainability, stability, and governance alignment. Together, they form a comprehensive framework for validating, controlling, and sustaining safe and reliable AI deployments. Each domain includes key principles that guide the evaluation of modern AI applications.