Most organizations focus on the technical aspects of AI implementation, but they'd do better to look at how philosophy plays the more decisive role in delivering business value. In this video, authors Michael Schrage and David Kiron explain how the philosophical frameworks of teleology, epistemology, and ontology shape what artificial intelligence systems prioritize and produce. They also explain why Google's conflicting objectives caused AI failures while Starbucks's and Amazon's clarity created AI advantages.
For a deeper exploration of these concepts discussed in this video, read the full article "Philosophy Eats AI" here:
https://sloanreview.mit.edu/article/philosophy-eats-ai.Timestamps:
0:00 - Introduction: Philosophy's role in AI success
0:52 - The thesis: Philosophy eats AI
1:30 - AI as a philosophical construct
2:25 - How AI creates meaning through patterns
3:05 - The shift from tasks to agency in AI
4:00 - Bounded rationality versus bounded patterns
5:00 - Google Gemini: A case of teleological confusion
6:35 - Why philosophy matters for business leaders
7:45 - Rethinking loyalty: Examples from Starbucks and Amazon
8:40 - Mapping your AI's philosophical frameworks
10:25 - Leaders who think philosophically versus those who don't
12:00 - AI as battleground for competing philosophies
12:30 - The practical business value of philosophical thinking
13:10 - Final thoughts and an invitation to learn more