AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is found that mission-driven organizations adopt AI selectively, with uses in content creation and data analysis, while maintaining human oversight for mission-critical applications.
It is argued that considerations of AI ethics must extend beyond models and data to encompass the hardware infrastructures on which they depend, and that embedding stakeholder reflection is critical for anticipatory governance in the physical infrastructure of AI.
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