What we talk about when we talk about AI skills.
summary
A data-driven claim: a 12-dimension AI skills framework and live visualization built from 269 survey responses at PyCon DE & PyData maps real competencies, with seaborn plots and a t-SNE projection showing confetti not tidy clusters. Findings: 70% report little or no skill in AI regulation/ethics, job titles poorly predict actual skill mixes, and many practitioners rate Python and data competence high while MLOps and governance lag. Framework, example notebooks and a GitHub repo are being published for validation and training design.
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chapters (6)
- 0:00AI skills evolution
- 4:52AI explosion and public perception
- 9:13AI skills in regulation and ethics
- 13:48Community skill mapping
- 23:22AI skills framework takeaways
- 24:47Q&A on AI skills gaps
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