
Here is the work that I have done to put together a presentation for the KMers and Staff present in Scottsdale, AZ.
The following is a link to my final presentation.
The following is a set of tools and humans that I interacted with to generate this presentation.
I accepted tentatively until I could get the schedule for my spouse that comes out a month before, he’s a pilot.
Feb 10th, 2025: I officially accepted and looked at what I would be speaking about. I had two slots: one on a panel with fantastic authors and another 45 minutes to talk about how to engage KMers and Staff in using AI.
March 3rd, 2025 - I met with a wonderful woman (Cat Kingsley Westerman) who offered speaking coaching through LinkedIn and got some of my thoughts in order.
March 9th, 2025: Having arrived home from Cabo at 6 PM, I sat in the Denver club waiting for my 15-year-old to come from her Auntie’s house in California. I then had a fantastic conversation with Claude about this presentation. It was the first time in a long time that I used Claude to converse with an AI. I got annoyed after about 20-25 turns, but this lengthy conversation became the basis for the content.
March 10th - I used you.com - ChatGPT4o to get a couple of things down about Rosabeth Moss Kanter - my husband was listening to “Revenge of the Tipping Point”
March 12th - I did some future thinking work with Whatifpedia and posted it on LinkedIn.
March 12th - got on mid-journey to develop some of the “double-helix” visualizations (used one for this blog - see caption above)
March 15th - I used one of my sister's mediation sessions to talk with her and record this on Granola.
March 16th: I took the outline notes from Granola and put them back into the Claude conversation. I had to tell it twice that I did not need them to go back, and I had explicitly edited out the content that it kept trying to get into my outline.
March 17th, during a plane ride to Arizona, I wrote a narrative about the “Psychology of Money” pouring out of me and getting in the way of completing this task.
March 18th - I went to beautiful.ai and asked it to generate this talk, and I started prepping slides and crafting the messages I wanted the folks to walk away with.
March 19th - I awoke early to assemble the talk and practice timing, finish the talking points, create the bibliography, and make sure I had attribution.
March 19th, 11:45 AM PST - got on stage and presented the talk.
Bibliography of the talk generated by Claude - items struck through are erroneous and made up by the AI system, and I had to prompt it many times to get all of the references together. It even made up the text of the URLs #eyeroll.
Tools and AI Systems
Claude (Anthropic). (2025, March 9). [AI assistant used for a conversation about presentation content]. (provided only upon request).
You.com - ChatGPT4o (OpenAI). (2025, March 10). [AI assistant used for research on Rosabeth Moss Kanter]. Conversation with you.com
Perplexity AI. (Sonar). "Using the work from Maryanne Wolf." Retrieved March 19, 2025, conversation.
Whatifpedia. (2025, March 12). [Future thinking work tool]. LinkedIn post.
Midjourney. (2025, March 12). [AI image generation platform used for "double-helix" visualizations]. (See caption)
Granola. (2025, March 15). [Recording/transcription tool for sister mediation session].
Beautiful.ai. (2025, March 18). [AI-powered presentation design tool]. Presentation
History of Reading
Wolf, M. (2018).Reader, Come Home: The Reading Brain in a Digital World. Harper.Wolf, M. (2007). Proust and the Squid: The Story and Science of the Reading Brain. Harper Collins.
Davidson, C. (2017).The New Education: How to Revolutionize the University to Prepare Students for a World in Flux. Basic Books.Warschauer, M., & Matuchniak, T. (2010). "New technology and digital worlds: Analyzing evidence of equity in access, use, and outcomes."Review of Research in Education, 34(1), 179-225.
Women in AI & Diversity
Kanter, R. M. (1977). Men and Women of the Corporation. Basic Books.
Gladwell, M. (2022). Revenge of the Tipping Point: How Little Things Can Make a Big Difference (Revised Edition). Little, Brown and Company.
D'Ignazio, C., & Klein, L. F. (2020).Data Feminism. MIT Press.Buolamwini, J., & Gebru, T. (2018). "Gender shades: Intersectional accuracy disparities in commercial gender classification." Proceedings of the 1st Conference on Fairness, Accountability and Transparency, 81, 77-91.
Broussard, M. (2018).Artificial Unintelligence: How Computers Misunderstand the World. MIT Press.
Inattentional Blindness & Cognitive Biases
Drew, T., Võ, M. L. H., & Wolfe, J. M. (2013). "The invisible gorilla strikes again: Sustained inattentional blindness in expert observers." Psychological Science, 24(9), 1848-1853.
Kahneman, D. (2011).Thinking, Fast and Slow. Farrar, Straus and Giroux.Benson, B. (2016). Cognitive Bias Codex. https://www.visualcapitalist.com/wp-content/uploads/2017/09/cognitive-bias-infographic.html
Snowden, D. J., & Boone, M. E. (2007). "A leader's framework for decision making." Harvard Business Review, 85(11), 68-76.
Knowledge Management & AI Implementation
IBM Data Science and AI. (2023). Data Science Methodology: Best Practices for Successful AI Projects. IBM Press.
Davenport, T. H., & Kirby, J. (2016).Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. Harper Business.Zuboff, S. (2019). The Age of Surveillance Capitalism. Profile Books.
Floridi, L. (2019). "Establishing the rules for building trustworthy AI."Nature Machine Intelligence, 1(6), 261-262.Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.
Cultural Anthropology & Technology
Haraway, D. (1991). "A Cyborg Manifesto: Science, Technology, and Socialist-Feminism in the Late Twentieth Century." In Simians, Cyborgs and Women: The Reinvention of Nature (pp. 149-181). Routledge.
Latour, B. (2005). Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press.
Suchman, L. (2007).Human-Machine Reconfigurations: Plans and Situated Actions. Cambridge University Press.
Critical Thinking & AI
Carr, N. (2020).The Shallows: What the Internet Is Doing to Our Brains. W. W. Norton & Company.O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown.
Noble, S. U. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
Ontological Approaches to AI
Moreau, L., Missier, P., Belhajjame, K., B'Far, R., Cheney, J., Coppens, S., Cresswell, S., Gil, Y., Groth, P., Klyne, G., Lebo, T., McCusker, J., Miles, S., Myers, J., Sahoo, S., & Tilmes, C. (2013). "PROV-DM: The PROV Data Model." W3C Recommendation, World Wide Web Consortium. https://www.w3.org/TR/prov-dm/
Coplien, J. O., & Harrison, N. B. (2004). Organizational Patterns of Agile Software Development. Prentice Hall.
Gangemi, A., & Presutti, V. (2009). "Ontology design patterns." In Handbook on Ontologies (pp. 221-243). Springer.
Gruber, T. R. (1993). "A translation approach to portable ontology specifications."Knowledge Acquisition, 5(2), 199-220.Noy, N. F., & McGuinness, D. L. (2001). "Ontology development 101: A guide to creating your first ontology." Stanford Knowledge Systems Laboratory Technical Report KSL-01-05.