ChatGPT in society: emerging issues

Area of Science:

• Artificial Intelligence
• Societal Impact of Technology
• Computer Science Ethics

Background:

• The rapid advancement and increasing integration of Large Language Models (LLMs) into various societal domains necessitate a thorough examination of their implications.
• Existing literature often focuses on technical capabilities, with less emphasis on the broad spectrum of societal challenges and opportunities presented by LLMs.

Purpose of the Study:

• To critically review and assess the multifaceted issues associated with the large-scale implementation of Large Language Models.
• To provide a preliminary yet comprehensive overview of potential benefits and downsides of LLMs across diverse societal sectors.

Main Methods:

• Literature review and critical analysis of potential societal impacts.
• Exploratory assessment of security, political, economic, cultural, and educational dimensions.
• Examination of ethical considerations including social biases, creativity, copyright, and freedom of speech.

Main Results:

• Identified a wide range of potential challenges including security vulnerabilities, economic disruptions, and the exacerbation of social biases.
• Acknowledged significant potential benefits across various applications, contingent on responsible development and deployment.
• Highlighted complex interactions between LLMs and established norms in creativity, copyright, and freedom of speech.

Conclusions:

• LLMs present a dual potential for societal advancement and disruption; a balanced perspective is essential.
• Further research is needed to fully understand and mitigate the risks while maximizing the benefits of LLM deployment.
• This work serves as an initial step in cataloging and analyzing the complex societal landscape shaped by Large Language Models.