Governance, Risk, Ai Edward Cannon Governance, Risk, Ai Edward Cannon

AI Transparency & Anthropic

Can transparency keep pace with AI’s power?
In the rapidly evolving world of artificial intelligence, transparency isn’t just a virtue—it’s a necessity. Anthropic has embarked on an ambitious journey to demystify AI systems, aiming to make them more understandable and trustworthy as they grow more powerful. Its 2027 Transparency Commitment sets clear goals to advance openness, accountability, and interpretability across its models. Read the post and let us know your view..

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Anthropic’s Transparency Roadmap and Implications for AI Governance

Can an AI company balance profit and principle?
Anthropic—founded as a safety-first AI research company—has evolved into a dual-purpose organization: part deep research lab, part enterprise AI provider. Today it stands among the leading developers of advanced language models (Claude 1–3), offering commercial products through partnerships with Amazon, Google, and major cloud platforms. Despite rapid growth, Anthropic continues to prioritize interpretability, safety, and transparency—culminating in its 2027 Transparency Roadmap. Read the post and let us know your view.

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Technology Governance Implications of OpenAI’s Deep Research System

Does AI-powered “Deep Research” change what boards need to govern?
OpenAI’s Deep Research marks a step-change in AI-enabled web browsing, reasoning, and multi-step research. Built on an early version of OpenAI o3, it blends real-time internet access, document interpretation, and Python-based analysis in a sandboxed environment. While the capabilities unlock new avenues for insight and innovation, they also introduce governance, ethical, and cybersecurity considerations directors must address. Read the post and let us know your view.

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BIG FAILURES

Hershey's implemented a new SAP system to manage its supply chain, but the system had numerous problems…

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