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cloud.google.com·7h ago
AI Research
arXiv CS.AI·27d ago·5 min read
Investigating the Impacts of Generative AI on Information Seeking
TL;DR
Generative AI chatbots influence users' trust in information-seeking by leveraging natural language cues of expertise. This paper discusses the implications of these practices for communication and authority in the age of AI.
✦ Why It Matters
Evaluate how your AI tools communicate expertise to enhance user trust and engagement.
Key Takeaways
- Analyze how AI communicates expertise to users.
- Consider user values when designing AI interactions.
- Develop a vocabulary for discussing AI's impact on communication.
- Monitor shifts in user trust towards AI as an authority.
Full Summary
The integration of generative AI into information-seeking practices raises important questions about trust and authority. This paper builds on a previous study that analyzed how AI chatbots use natural language signifiers to project expertise, thereby affecting user perceptions.
By employing procedural rhetoric, the authors explore how users' values and experiences shape their interactions with AI. The extended discussion aims to foster a cross-disciplinary vocabulary for understanding the risks associated with AI in communication.
Key findings suggest that as AI becomes more prevalent, users may increasingly rely on AI as 'experts,' potentially altering traditional information-seeking behaviors. The implications of these changes are significant for both users and developers of AI technologies.