Get involved in Machine Learning
summary
Argues that increasing diversity in ML matters and gives concrete next steps: integrate responsible AI checks into model workflows, add human reviewers to audit datasets, and track data breadth and failure modes; points to the TensorFlow Responsible AI site for guidance, recommends joining the TensorFlow forum or Google Developer Experts program, earning TensorFlow certificates, and contributing to projects on GitHub; insists on seeking jobs and teams that provide practical support for family and community needs and highlights ML Community Day Nov 9 as a follow-up.
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chapters (10)
- 0:00Intro
- 0:27Diversity is important
- 1:02AI isnt a black box
- 2:02Decisions have consequences
- 3:03Open source contributions
- 4:32Entitlement
- 6:25What you need
- 7:15Key takeaways
- 7:47Building a community
- 8:54Stay in touch
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