THE HUMAN SIGNAL · ARTICLES
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AI SECURITY · SEPTEMBER 10, 2026
Why instructions inside a prompt cannot restrain an overprivileged AI agent, and why security must be enforced through permissions, approvals, separation, logging, limits, and kill switches.Read the article →
AI LEADERSHIP · SEPTEMBER 9, 2026
Why faster output and fuller dashboards can conceal waste, and how leaders can measure whether AI improves outcomes, employee capacity, and customer value.Read the article →
MICROSOFT COPILOT · SEPTEMBER 8, 2026
Why Microsoft 365 Copilot prompts and responses can remain discoverable business records through Purview retention, audit, eDiscovery, and legal-hold controls.Read the article →
MICROSOFT COPILOT · SEPTEMBER 3, 2026
A high-school Jell-O lesson becomes a practical guide to giving Copilot Cowork clear outcomes, context, and early corrections instead of expecting it to infer unstated intent.Read the article →
MICROSOFT COPILOT · SEPTEMBER 2, 2026
Why Microsoft 365 Copilot is becoming a model-orchestration layer that can route work across Microsoft and Anthropic models while preserving Work IQ and enterprise controls.Read the article →
AI GOVERNANCE · SEPTEMBER 1, 2026
Why polished AI recommendations can quietly become authority—and the human checkpoints leaders need to preserve evidence review, dissent, accountability, and outcome learning.Read the article →
AI PRIVACY · AUGUST 27, 2026
A practical comparison of OpenAI Computer History and Microsoft Recall—and why event-based memory may earn more trust without eliminating enterprise privacy risk.Read the article →
AI GOVERNANCE · AUGUST 26, 2026
Why approval mazes and demands for perfect certainty push useful AI work underground—and how plain-language lanes can enable responsible experimentation.Read the article →
MICROSOFT COPILOT · AUGUST 25, 2026
How Copilot Studio Computer Use lets agents operate websites and Windows applications through the interface, opening a bridge to legacy systems without useful APIs.Read the article →
AI WORKFORCE · AUGUST 20, 2026
Why AI-native performance depends less on age or tool fluency than on curiosity, judgment, workflow redesign, verification, and an organization willing to reward new ways of working.Read the article →