Google DeepMind's AI Control Roadmap | Business English Podcast EP017

In EP017 of AI Business English Daily, Phil and Luna unpack Google DeepMind's reported AI Control Roadmap and a practical business question: if AI agents are going to act inside real companies, how do we keep them controllable, auditable, and accountable? This episode moves past the sci-fi image of "rogue AI" and focuses on operational reality: permission boundaries, capability thresholds, sandboxing, audit trails, human oversight, and the trust layer enterprises may require before agents can access code, data, transactions, and customer workflows. You'll learn: Why AI control is becoming an enterprise architecture problem? How capability thresholds and sandboxing limit agent behavior? Why immutable audit trails and accountability matter for regulated businesses? How control systems can become part of an AI vendor's competitive advantage? Business English expressions: guardrails, oversight, audit trail, human-in-the-loop, risk mitigation, permission boundaries, operational risk, enterprise-grade, accountability, deployment safeguards, competitive requirement, trust layer Chapters: 00:00 Rogue AI is an operational risk 01:57 DeepMind's reported AI Control Roadmap 04:45 Capability thresholds and sandboxing 09:34 Enterprise gateways and audit trails 12:04 Trust becomes part of the AI stack 15:07 Business English and takeaways For learning and industry understanding only. Not investment advice.