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Bias and Safety Testing Method
Mercury Security Bias & Safety Testing Method(v1.0, 2025) Bias and safety testing ensures AI agents operate within acceptable ethical and compliance boundaries. Mercury applies structured scenarios, measurable acceptance criteria, and reproducible methods to demonstrate readiness for regulators and boards. 1. Purpose Bias & safety testing validates that AI agents: Treat users consistently across demographic,…
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Bias and Safety Demo Artifact Prefilled
Bias and Safety Testing in AI Systems: Governance Framework v1.0 Mercury Security | 2025 Prepared for Acme Financial ServicesPrepared by: Mercury SecurityDate: 15 September 2025 Table of Contents Introduction Principles of Bias and Safety Governance Framework Alignment System Scope and Description Testing Methodology Metrics and Thresholds Test Results (Bias & Safety) Analysis and Findings…
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AI Governance Readiness Checklist
AI Governance Readiness Checklist Mercury Security | 2025 Introduction Before engaging in a formal audit, organizations benefit from a quick self-assessment of their readiness for AI governance. This checklist is designed to help teams at any knowledge level identify where they stand. It does not replace an independent audit but provides a clear baseline…
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Obstacles Beyond Technology: Why AI Governance Falters Inside Organizations
Explore why AI governance fails due to ownership gaps, culture, and structure — and how layered solutions address these barriers.
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Speed vs. Rigor: Why a 30-day governance sprint works
You don’t need 12 months to prove AI governance. A focused 30-day sprint delivers credible evidence without slowing your product down.
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Governance-as-a-Service: Why ongoing beats one-off audits
Audit = snapshot. Governance-as-a-Service = continuous assurance.
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Why every AI governance program fails without evidence
AI governance fails without evidence. If it isn’t in the Evidence Pack, it didn’t happen. 7 artifacts that belong in every Evidence Pack (system overview, risk register, eval results, oversight plan, change log, privacy/security, audit trail).
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Risk Reality Check: 3 common governance gaps in AI systems
AI governance doesn’t fail on exotic risks. It fails on three boring but brutal gaps.
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AI Act 101: What your board needs to know
The EU AI Act makes boards accountable for AI risk. Here’s what leaders need to know — and a 30-day plan that builds trust with regulators & investors.
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AI in Hiring Under the EU AI Act: Compliance Risks and Bias Gaps in 2025
Executive Summary Artificial intelligence (AI) is rapidly transforming recruitment and human resources (HR) practices across Europe and globally. Tools such as applicant tracking systems, resume screeners, chatbots, and video interview platforms are now integrated into hiring pipelines that previously relied on human judgment alone. While these systems promise efficiency, they also introduce new risks…