Science Exposed: Self-Disclosure and Trust in Human-AI Interaction
Description
In this episode of Science Exposed, we dive into the intriguing paradox of trust and vulnerability in human-AI relationships. Why do people feel comfortable sharing personal information with AI, even though it lacks genuine empathy or moral agency? Drawing on theories like Social Penetration and Communication Privacy Management, as well as philosophical perspectives like posthumanism, this episode unpacks the psychological and ethical dynamics of disclosing private information to AI systems.
We explore how traits that make AI appear trustworthy—such as neutrality and consistency—can create a false sense of connection, leading to over-disclosure and potential risks to privacy. With AI playing an increasingly intimate role in our lives, this raises critical questions: Should we hold AI to the same ethical standards as humans? How can we ensure privacy and accountability in these interactions? And what safeguards are needed to navigate the delicate balance between trust and exploitation?
Tune in as we explore this evolving relationship and its implications for the future of AI in our most private spaces.
REFERENCES:
https://arxiv.org/pdf/2412.20564
https://doi.org/10.48550/arXiv.2412.20564
Content curated by: Dr. Cameron Jones, PhDPublic Health Expert, Fungal Biologist, and Science CommunicatorCEO of Biological Health Services, a consultancy and lab specializing in indoor air quality.Adjunct Faculty at the National Institute of Integrative Medicine, Australia.Founder, BioMedix & House of Pot, BangkokFor more insights on public health and cutting-edge research, visit drcameronjones.com and drcameronjones.tvThis podcast is part of an innovative science communication initiative powered by Google's Notebook LM, an AI-driven tool that helps bring complex research to life by creating dynamic conversations and easily digestible summaries. Stay tuned for more engaging discussions at the intersection of science, health, and wellness.
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