Roles to play in the AI dev workflow

This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.

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Featuring:

• Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

Streamlit:

Streamlit funding announcementPrevious Practical AI episode about Streamlit GPU acceleration in Windows Subsystem for Linux

Fairness and bias:

Google’s explanation of bias in their ML crash courseIBM fairness 360Google’s responsible AI practicesDriven Data’s Deon projectPrevious Practical AI episode about bias in AI and hiringUS Department of Defense Ethical principles for AI Chris’s personal, COVID-related blog post

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