I is for Infrastructure – Building Better AI Through Ethical Foundations

How do the data centers powering AI influence its ethical impact? Discover how projects like Stargate are shaping the future of AI and learn why ethical infrastructure drives reduced reviews, fewer complaints, and higher ROI. Explore the business case for building a fairer AI ecosystem. […]

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G is for Governance: From Barrier to Bridge

AI governance isn’t just about compliance—it’s about trust, transparency, and transformation. Explore how shifting from rigid controls to enabling governance can drive better AI adoption and innovation. […]

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F is for Fairness: Building AI Systems That Work for Everyone

When a financial AI system showed perfect fairness metrics across all demographics, its creators were proud. But examining the weekend data revealed an uncomfortable truth: the system was 40% less likely to approve transactions outside traditional banking hours, inadvertently encoding socioeconomic bias into its “fair” decisions. After analyzing hundreds of AI systems throughout 2024, I’ve discovered that the most sophisticated approaches to fairness often create the most insidious biases. Join me as we explore the hidden complexities of AI fairness and uncover practical strategies for building AI systems that truly work for everyone. Drawing from real-world implementations and hard-learned lessons, we’ll examine why perfect metrics often hide deeper problems, and how organizations can move beyond surface-level equality to achieve genuine equity in their AI systems. […]

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From Algorithms to Excellence: What I Learned About Building Better AI at the UN Science Summit

Building excellent AI systems requires more than just technical performance. At the UN Science Summit, global leaders revealed that only 23% of AI deployments undergo comprehensive ethical assessments. From cross-border governance challenges to balancing technical and ethical debt, discover practical frameworks for implementing AI that excels both technically and ethically. Learn how leading organizations are measuring excellence beyond accuracy metrics and building AI systems that create lasting positive impact […]

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Building Future-Proof AI Governance: Advanced Strategies for Enterprise Success

Future-Proof Your Enterprise with Advanced AI Governance Strategies
AI is reshaping industries, and governance is the key to success. Discover cutting-edge strategies to create ethical, compliant, and scalable frameworks for your enterprise. Unlock actionable insights to navigate the complexities of AI governance and drive innovation. […]

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When AI Can’t Follow Simple Rules: Personal Insights from an Unexpected Experiment Part 2 of The AI Ethics Puzzle Series

Sometimes the most profound insights emerge from unexpected moments. While waiting for my Thanksgiving ham to cook, I discovered something unsettling about AI that would challenge my assumptions about enterprise implementation. As an IEEE CertifAIEd Lead Assessor, I’ve evaluated countless AI systems, but this holiday experiment in my kitchen revealed a critical gap between AI confidence and competence that every technology leader needs to understand.
The results were stark: leading AI models showed remarkably high confidence while failing at basic rule-following tasks. ChatGPT achieved 13% accuracy, Claude reached 21%, and Gemini performed best at 46% – yet all displayed confidence levels above 90%. This disconnect mirrors patterns I’ve witnessed in enterprise settings, where sophisticated AI implementations often mask fundamental governance gaps.
In this article, I share both personal insights from this unexpected experiment and professional guidance for implementing effective AI governance. Drawing from years of certification experience and real-world testing, I offer a practical framework for ensuring your AI systems don’t just appear competent, but actually follow critical operational rules.
[Read more to discover the four pillars of effective AI governance and a practical implementation roadmap for 2025…] […]

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D is for Data Privacy: Beyond Compliance: Transforming Data Privacy in AI Systems

Transform your AI data privacy from compliance checkbox to competitive advantage. Learn how leading organizations protect data while building user trust in AI systems. […]

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When AI Can’t Follow Simple Rules: A Critical Warning for Enterprise Leaders

Unveiling the Importance of AI Governance – Part 1 of a 3-Part Series

Dive into the first article of Marian Newsome’s groundbreaking series on AI governance. Marian, founder of Ethical Tech Matters and an expert in ethical technology, explores why AI rule-following matters for businesses. Through a fascinating experiment with ChatGPT, Claude, and Gemini, she exposes how AI systems struggle with even basic rules, illuminating the critical need for robust governance frameworks.

Learn how ethical AI governance can prevent costly failures in industries like finance, healthcare, and manufacturing. Don’t miss real-world case studies and essential insights on frameworks like IEEE P2863™, NIST AI RMF 1.0, and the EU AI Act.

Stay tuned for the next parts of the series, where Marian will unpack lessons from AI failures and share actionable strategies to implement effective AI governance. Subscribe now to ensure you don’t miss expert guidance on building ethical AI systems for the future! […]

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C is for Consent: Beyond Checkboxes: Revolutionizing Informed Consent in AI Systems

Are you still treating AI consent as just another checkbox? Our research shows that traditional consent processes are failing both users and organizations in the age of AI. Discover how leading organizations are transforming their approach to informed consent, building trust, and driving better AI adoption through meaningful engagement. This comprehensive guide breaks down the four essential elements that turn AI consent from a legal requirement into a strategic advantage. […]

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