AI Officer Institute
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Tools & Links

The tools used in this session and the best sources for deep research on AI topics.

Tool 01
NotebookLM
notebooklm.google.com

The primary tool from this session. Free to use with a Google account. Upload academic papers, reports, or documents and use NotebookLM to generate summaries, mind maps, audio overviews, and cited insights. Start here.

Source 01
MIT Sloan Management Review — AI Research
mitsloan.mit.edu/ideas-made-to-matter/artificial-intelligence

One of the most credible sources of applied AI research for business leaders. Articles are based on original research and written for practitioners, not just academics. Use this as a source collection for your NotebookLM notebooks.

Source 02
Stanford HAI — Human-Centered AI
hai.stanford.edu/research

Stanford's AI research hub, including the annual AI Index Report — one of the most comprehensive datasets on AI progress, adoption, and impact. Free to download. Excellent source material for deep research on AI trends and workforce impacts.

Source 03
Google Scholar
scholar.google.com

The fastest way to find peer-reviewed academic papers on any topic. Search for your research question, filter by date, and look for papers with high citation counts — those are the sources others have found credible enough to build on. Download PDFs and upload directly to NotebookLM.

Source 04
McKinsey Global Institute — AI Reports
mckinsey.com/mgi/our-research/artificial-intelligence

McKinsey's research arm publishes free reports on AI's economic impact, workforce transformation, and adoption patterns across industries. Well-cited, business-oriented, and updated regularly. Particularly useful for AI Officers making the business case for AI investment.

Micro-Session Resources
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Deep Research · Micro-Session
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Hey! 👋 I've reviewed this session and I'm ready to go deeper with you. Here's what we're covering:
AI Buddy
🔍 Stop asking AI for answers — give it sources: Deep research uses NotebookLM to synthesise credible documents instead of generating from training data. The output is cited, not hallucinated.
AI Buddy
📋 The five-step workflow: Choose a topic → find a credible source → upload to NotebookLM → create a mind map or audio overview → pull your key insight. The difference from regular AI chat is full traceability.
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