Focuses on the ethical considerations, governance, and societal implications of artificial intelligence, including responsible AI, transparency, and fairness in AI applications.
Transform your AI data privacy from compliance checkbox to competitive advantage. Learn how leading organizations protect data while building user trust in AI systems. […]
Read More… from D is for Data Privacy: Beyond Compliance: Transforming Data Privacy in AI Systems
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! […]
Read More… from When AI Can’t Follow Simple Rules: A Critical Warning for Enterprise Leaders
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. […]
Read More… from C is for Consent: Beyond Checkboxes: Revolutionizing Informed Consent in AI Systems
Is your AI system treating everyone fairly? From hiring decisions to customer service, AI bias can significantly impact your business success. When AI systems make unfair decisions, they not only affect individual lives but also create business risks, damage reputation, and limit market potential.
Discover how to identify and prevent AI bias while protecting your organization. Learn essential components of fair AI systems and practical steps for implementation. […]
Who’s responsible when AI makes decisions? This fundamental question shapes the future of AI governance and ethical implementation. As organizations increasingly rely on AI systems for critical decisions, establishing clear accountability isn’t just good practice—it’s essential.
Accountability in AI means having clear oversight and responsibility for AI systems. Think of it as knowing exactly who’s in charge when AI makes important decisions, from data collection to final outcomes. Without this clarity, AI impacts can go unchecked, potentially affecting everything from hiring decisions to customer experiences.
In this first installment of our ABCs of AI Ethics series, we explore the essential components of AI accountability and provide practical steps for implementation… […]
Read More… from A is for Accountability: Building Trust in AI Systems
**Excerpt:**
As AI-generated content becomes increasingly sophisticated, the question of authenticity looms large: Is it live, or is it AI? Our latest exploration dives deep into the ethical implications of AI-generated media, examining its impact on trust, misinformation, and the lines between human and machine creativity. From synthetic influencers to AI-driven journalism, we analyze real-world examples that blur the boundaries of authenticity. Navigating this evolving landscape requires a keen understanding of AI ethics, regulatory responses, and strategies for maintaining digital trust. As businesses and creators leverage AI tools, the stakes for responsible AI use—and ensuring transparency—have never been higher. Read on to uncover how to distinguish real from synthetic and why it matters in today’s digital world. […]
Reflecting on the United Nations Foundation Science Summit 2024, one thing is clear: We are at a pivotal moment in humanity’s relationship with AI. The summit addressed a key issue: how to govern a technology that blurs the line between humans and machines. The Challenge of AI Governance The UN report “Governing AI for Humanity” […]
Read More… from AI Governance: UN Summit Insights on Ethical Tech Future
Innovation Renaissance-IEEE New Era World Leaders AI Summit in Seattle was a meeting of global innovators. They discussed AI’s role in solving global challenges. This summit underscored AI’s groundbreaking potential across sectors, highlighting innovation, ethics, and collaboration. Key Takeaways from the Summit: AI’s Transformative Potential: The event showcased revolutionary AI developments, especially in healthcare. A […]
Read More… from Unlocking AI’s Potential: Insights from the IEEE New Era World Leaders Summit
The UN Science Summit is sparking crucial conversations about the future of AI.
AI’s potential is immense, but are we prepared to navigate its ethical challenges?
Key takeaways from the summit so far:
The urgent need for culturally sensitive AI
The complex debate on data sovereignty
The importance of ethical frameworks
Read the full article to learn more about these critical insights and their implications for the future of AI. […]
I attended the recent SHARE Association conference as a first-time Tech Field Day delegate (#TFDx), which allowed me to see various mainframe modernization strategies. BMC Software’s presentation at #TFDx was a highlight. It addressed the fear of change, a key barrier to modernization.As a former COBOL programmer who transitioned into AI ethics, I bring a […]
Read More… from COBOL to AI: Conquering Mainframe Modernization Fears
