Jonathan Michie on his father’s efforts in the 1970s to map out concerns regarding widespread social coercion driven by automation. Plus a letter from Callum Brown Jill Lepore asks why nobody listened to warnings about the threats posed from the AI revolution (Democracy v the machine, 18 August). As she is a Harvard professor, her piece is understandably US-centric. But in 1972 there was an international gathering of AI researchers and others in Italy to tackle the ethical and social implications of AI. This “Serbelloni group” of global experts (they met at Villa Serbelloni on Lake Como) was led by my father, Donald Michie, the director of the University of Edinburgh’s department of machine intelligence. The group mapped out early concerns regarding potential political tyranny, the erosion of human autonomy and widespread social coercion driven by automation. Continue reading...
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Jonathan Michie on his father’s efforts in the 1970s to map out concerns regarding widespread social coercion driven by automation. Plus a letter from Callum Brown Jill Lepore ask…
Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.
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Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge bas…
All posts Sandboxing: One Word, Many Variations — A Primer for the Agent Era SecurityAI AgentsSandboxingSoftware Architecture Luke Hinds Co-founder & CEO·August 25, 2026 Sandboxing is a security technique that runs a wo…
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All posts Sandboxing: One Word, Many Variations — A Primer for the Agent Era SecurityAI AgentsSandboxingSoftware Architecture Luke Hinds Co-founder & CEO·August 25, 2026 Sandboxin…
Building Production Agentic AI at IBM: Architecture, Decisions, and What We Learned TL;DR — IBM’s Technology Lifecycle Services built a multi-agent system from scratch — the agents themselves in Python with LangGraph. I…
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Building Production Agentic AI at IBM: Architecture, Decisions, and What We Learned TL;DR — IBM’s Technology Lifecycle Services built a multi-agent system from scratch — the agent…
AI THAT DOES THE WORK AI employees for your business. Agaro builds AI employees and AI agents that handle calls, chats, workflows, reports, and custom software. We connect them to the tools your team already uses and la…
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AI THAT DOES THE WORK AI employees for your business. Agaro builds AI employees and AI agents that handle calls, chats, workflows, reports, and custom software. We connect them to…