AI’s promise is undermined by scandals like faulty exam grading. To rebuild trust, we need independent oversight, clear rules, public involvement and global cooperation so AI serves everyone fairly and earns legitimacy. This piece calls for enforceable regulation, public oversight and global action.
Today’s most powerful AI is all brain and no body, leading to hallucinations, brittle logic and safety lapses. This piece shows why intelligence requires sensors, physical form and real-world feedback, offering a roadmap for leaders; it explores embodied cognition, policy implications and next steps
Without a red button to halt a runaway model, AI labs risk crossing dangerous boundaries. This feature proposes an abort doctrine, echoing mission rules and market circuit breakers, to define thresholds, assign independent authority and mandate learning. It calls for balancing innovation with safety
Belief is no longer built—it’s brokered by networks. This piece dissects the algorithmic supply chains that curate our feeds and introduces an Information Audit Kit to measure, audit, and restore epistemic health and trust in digital ecosystems, offering a blueprint for audited platforms & fairness.
In this board-level study, we explore why smaller, task-specific AI models often outperform massive frontier models. The piece examines how accuracy, latency, cost and risk interact, and provides decision frameworks and metrics for executives. Restraint brings cost, speed and reliability advantages.
