Topic
Agentic AI
Academic resources on AI agents, supervised automation, institutional readiness, and future knowledge work.
Reading path
Read these items as preparation for institutional discussion. Agentic AI is best approached as workflow design, not as a list of tools.
Start by separating chat-based AI from workflow-level AI agents.
Map possible workflows, data access, human review points, and failure modes.
Use leadership and governance resources before planning institutional pilots.
Selected notes
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Agentic AI Explained for Educators and Researchers
A clear explanation of AI agents, tool use, workflows, risks, and meaningful academic applications.
Additional notes
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Agentic AI for Universities: What Academic Leaders Must Prepare For
A leadership guide to AI agents, autonomous workflows, oversight, risks, and readiness.
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Generative AI vs Agentic AI: What Institutions Need to Know
A clear comparison of chat-based AI, generative systems, AI agents, and institutional implications.
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Agentic AI: What Universities and Business Schools Need to Understand
A readiness note for AI agents, autonomous workflows, and future academic skill gaps.
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Conference Briefing: Agentic AI and the Future of Knowledge Work
A theme brief for conferences, seminar teams, and academic events on next-generation AI systems.
Academic session topics
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Agentic AI for Academic Institutions
A session for colleges and universities preparing for AI agents and workflow-based AI systems.
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Responsible AI and Academic Integrity
A session on AI disclosure, assessment design, originality, and academic integrity.
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AI Policy and Governance Workshop
A workshop for institutions developing practical AI policy, governance, and readiness structures.
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Prompt Engineering for Faculty
A hands-on session on prompt design for teaching, feedback, assessment, and classroom activities.
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AI for Academic Leaders
A leadership briefing on AI readiness, faculty development, governance, and institutional direction.