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Chapter 12 References — Agentic AI Workforce

Curated resources for deeper exploration of the topics in this chapter.

Books

  • Suleyman, Mustafa, and Michael Bhaskar. (2023). The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma. Crown. Examines the societal implications of increasingly autonomous AI agents, providing the strategic backdrop for understanding agentic AI in education.

  • Brynjolfsson, Erik, and Andrew McAfee. (2014). The Second Machine Age. W. W. Norton. Frames human-AI collaboration as complementary rather than zero-sum, supporting the chapter's argument that agentic AI augments rather than replaces teachers.

  • Russell, Stuart. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. Viking. Addresses the governance challenge of AI agents that act autonomously on behalf of humans, directly relevant to deploying AI personas in school settings.

Articles and Reports

  • METR. (2024). "Measuring the Ability of Language Models to Complete Long-Horizon Tasks." metr.org. https://metr.org/blog/2024-08-06-update-on-evaluations/ Provides empirical data on how far AI agents can operate autonomously on multi-step tasks, establishing the capability baseline for this chapter's agentic scenarios.

  • Anthropic. (2024). "Model Card and Evaluations for Claude." anthropic.com. https://www.anthropic.com/news/claude-model-card Documents how responsible AI agents are designed with human oversight built in — a governance model applicable to AI personas in education.

  • Microsoft Research. (2023). "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation." arXiv. https://arxiv.org/abs/2308.08155 Introduces multi-agent system architectures that underlie the agentic AI described in this chapter, in an accessible research-paper format.

  • Stanford HAI. (2023). "Generative Agents: Interactive Simulacra of Human Behavior." arXiv. https://arxiv.org/abs/2304.03442 Demonstrates AI personas that can simulate coaching and mentoring interactions, directly relevant to AI personas in education settings.

Online Resources

  • AI Safety Institute. (2024). Evaluations for AI Agentic Capability. https://www.gov.uk/government/organisations/ai-safety-institute The UK government's institute focused on evaluating autonomous AI risks, providing the governance lens for safe agentic AI deployment in schools.

  • Partnership on AI. (2024). Responsible Practices for Synthetic Media and AI Agents. https://partnershiponai.org/ Multi-stakeholder guidelines for deploying AI systems that act on behalf of people, including disclosure requirements applicable to AI tutoring personas.

  • Hugging Face. (2024). Open-Source AI Agents. https://huggingface.co/docs/transformers/agents Documentation for open-source AI agent frameworks, helping technical staff evaluate build-vs-buy tradeoffs for agentic education tools.

Videos

  • Andrej Karpathy. (2023). "State of GPT." Microsoft Build. YouTube. https://www.youtube.com/watch?v=bZQun8Y4L2A A clear technical explanation of how large language model agents work, suitable for helping technology directors brief their school boards on agentic AI capabilities.