AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is found that the quality of AIACCs varies significantly and that they currently can only serve as early-stage orientation tools, and design principles for the implementation of more reliable compliance-support tools are offered.
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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