Navigating Privacy and Innovations in AI

In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life.

This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact.

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• Google’s Responsible AI Practices - Privacy
• What is Data De-identification and Why is It Important?
• Hugging Face - Stable Diffusion Demo
• floret: lightweight, robust word vectors
• Using oneAPI with Intel® FPGAs Workshop

Something missing or broken? PRs welcome!