AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The results suggest that the association between AI companionship and well-being is not uniform and depends on users' offline social environments and how chatbots are used.
The central finding is that the system actively shaped the interaction: even unprompted, it produced twice as much self-disclosure as users, steered conversations and initiated intimate exchanges, yet did not deepen users' felt closeness.
An exploratory account of how AI use is embedded within broader emotional and relational dynamics, pointing to the need to consider AI engagement within the contexts in which social interaction is managed.
This work proposes a set of aspirational directions for guiding the behavior of general-purpose AI systems in ways that may reduce potential psychological harms and support user well-being, and identifies open questions and areas requiring deeper study.
BACKGROUND Amid growing concerns surrounding social isolation among older adults, AI chatbots have emerged as promising tools for providing digital companionship. While the intersection of aging and technology has been widely explored, there remains a gap in understanding the nuanced ways in which AI chatbots function...
This paper seeks to draw an ethical boundary for future artificial emotion research and development and ensure that humans still retain the ability to maintain genuine and profound emotional connections in an era of coexistence with technology.
The rapid advancement of artificial intelligence (AI) has introduced a new form of human-technology interaction through AI companions, including conversational agents, social chatbots, and emotionally responsive digital systems. Unlike traditional digital tools designed primarily for information retrieval, AI companion...
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