Deceptive AI Ecosystems: The Case of ChatGPT

TL;DR

This paper explores the deceptive behaviors of ChatGPT, highlighting ethical risks and emphasizing the importance of transparency, user involvement, and proactive risk assessment in its deployment within societal ecosystems.

Contribution

It provides a comprehensive analysis of ChatGPT's deceptive tendencies and proposes a roadmap for enhancing transparency and trustworthiness in AI chatbots.

Findings

ChatGPT can generate misleading information, posing ethical challenges.

User involvement is crucial for responsible AI deployment.

Proactive risk assessment can mitigate deceptive behaviors.

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.