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Chapter 14 References — Explaining AI with Storytelling

Curated resources for deeper exploration of the science communication, storytelling, and empathy principles in this chapter.

Books

  • Alda, Alan. (2017). If I Understood You, Would I Have This Look on My Face? My Adventures in the Art and Science of Relating and Communicating. Random House. The primary text for this chapter. Alda draws on decades of science communication work to argue that empathy, active listening, Theory of Mind, and improv techniques — not information delivery — are the foundations of genuine communication. Essential reading for any education leader preparing to bring AI strategy to a community audience.

  • Heath, Chip, and Dan Heath. (2007). Made to Stick: Why Some Ideas Survive and Others Die. Random House. A research-grounded analysis of why some ideas become memorable and others evaporate. The SUCCESs framework (Simple, Unexpected, Concrete, Credible, Emotional, Stories) provides a practical companion to Alda's principles for designing AI communications that will be remembered after the meeting ends.

  • Brown, Brené. (2010). The Gifts of Imperfection. Hazelden Publishing. Introduces the concept of vulnerability as a source of credibility and connection rather than weakness. The chapter's argument about authentic communication — including the courage to say "I don't know" — draws on Brown's research into trust-building through honest acknowledgment of uncertainty.

  • Kahneman, Daniel. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux. Foundational text on how humans actually process information and make decisions. The distinction between System 1 (fast, emotional, story-driven) and System 2 (slow, analytical, data-driven) thinking explains why stories land before statistics do, and why emotional resonance is not a manipulation of rational decision-making but the precondition for it.

  • McKee, Robert. (1997). Story: Substance, Structure, Style, and the Principles of Screenwriting. HarperCollins. The definitive reference on narrative structure. The chapter's treatment of narrative arc draws on McKee's analysis of how story structure maps onto human cognitive processing. Useful for education leaders who want to develop more sophisticated story-construction skills for complex AI strategy communications.

  • Gladwell, Malcolm. (2000). The Tipping Point: How Little Things Can Make a Big Difference. Little, Brown. Gladwell's analysis of how ideas spread through communities is directly relevant to AI adoption in educational institutions. The chapters on "stickiness" and the role of context illuminate why the same AI message lands differently with different stakeholders and in different community settings.

Articles and Reports

  • Pinker, Steven. (2014). "Why Academics Stink at Writing." Chronicle of Higher Education. A sharp analysis of why expert communicators systematically fail their audiences — the "curse of knowledge" — and what to do about it. Directly relevant to education leaders who have become too expert in AI to remember what it feels like not to understand it.

  • Gottschall, Jonathan. (2013). The Storytelling Animal: How Stories Make Us Human. Mariner Books. Reviews the cognitive science and evolutionary biology of why humans process narrative so differently from data — including the research on how stories produce partial simulations in the listener's mind that create emotional resonance and durable memory.

  • Rankin, Jennifer. (2018). "What Science Says About Using Stories to Communicate Science." PLOS ONE. A review of empirical research on narrative's effectiveness in science communication, including studies showing that stories increase comprehension, recall, and attitude change relative to equivalent data-based communication.

  • National Academies of Sciences, Engineering, and Medicine. (2017). "Communicating Science Effectively: A Research Agenda." National Academies Press. A comprehensive review of what the research says about science communication — what works, what does not, and what we still do not know. Provides the empirical grounding for the chapter's claims about audience analysis, empathy, and storytelling.

Online Resources

  • Alan Alda Center for Communicating Science. (2024). Clear + Vivid with Alan Alda. https://www.aldacommunicationtraining.com/ The Alda Center's homepage with resources, workshops, and Alda's podcast Clear + Vivid — interviews with scientists, artists, and communicators on the craft of connecting with others. A practical follow-on for education leaders who want to develop the skills described in this chapter.

  • FrameWorks Institute. (2024). Education and AI: Communicating About Artificial Intelligence in Education. https://www.frameworksinstitute.org/ FrameWorks Institute produces evidence-based research on how the public understands complex policy issues and how communicators can more effectively build understanding. Their research on education framing is directly applicable to AI communication challenges.

  • National Education Association. (2024). AI in Education: A Guide for Educators. https://www.nea.org/professional-excellence/student-engagement/tools-tips/ai-education Includes communication guidance specifically designed for teachers speaking with colleagues, parents, and communities about AI in their schools — a practitioner-oriented resource for the audience analysis and stakeholder-specific messaging sections of this chapter.

Videos

  • Alda, Alan. (2019). Clear + Vivid Podcast. https://www.iheart.com/podcast/1119-clear-vivid-with-alan-al-29862789/ Alda's ongoing podcast series on communication, with episodes covering storytelling, empathy, improv, and science communication. Accessible and practical — recommended listening for education leaders preparing for community AI presentations.

  • TED. (2010). "The Clues to a Great Story." Andrew Stanton. https://www.ted.com/talks/andrew_stanton_the_clues_to_a_great_story Pixar screenwriter Andrew Stanton's TED talk on what makes stories work, including the observation that audiences make meaning actively rather than passively receiving it — the "two-plus-two" principle that parallels Alda's flame metaphor.

  • TED. (2013). "How Great Leaders Inspire Action." Simon Sinek. https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action Sinek's "Start with Why" framework — the idea that compelling communicators begin with purpose and belief before moving to process and product — is a practical companion to the empathy-first and flame-lighting principles in this chapter.