Deceptive AI Ecosystems: The Case of ChatGPT
- URL: http://arxiv.org/abs/2306.13671v1
- Date: Sun, 18 Jun 2023 10:36:19 GMT
- Title: Deceptive AI Ecosystems: The Case of ChatGPT
- Authors: Xiao Zhan, Yifan Xu, Stefan Sarkadi
- Abstract summary: ChatGPT has gained popularity for its capability in generating human-like responses.
This paper investigates how ChatGPT operates in the real world where societal pressures influence its development and deployment.
We examine the ethical challenges stemming from ChatGPT's deceptive human-like interactions.
- Score: 8.128368463580715
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: ChatGPT, an AI chatbot, has gained popularity for its capability in
generating human-like responses. However, this feature carries several risks,
most notably due to its deceptive behaviour such as offering users misleading
or fabricated information that could further cause ethical issues. To better
understand the impact of ChatGPT on our social, cultural, economic, and
political interactions, it is crucial to investigate how ChatGPT operates in
the real world where various societal pressures influence its development and
deployment. This paper emphasizes the need to study ChatGPT "in the wild", as
part of the ecosystem it is embedded in, with a strong focus on user
involvement. We examine the ethical challenges stemming from ChatGPT's
deceptive human-like interactions and propose a roadmap for developing more
transparent and trustworthy chatbots. Central to our approach is the importance
of proactive risk assessment and user participation in shaping the future of
chatbot technology.
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