Harnessing Collective Intelligence in the Age of Large Language Models: Opportunities, Risks, and Future Directions

Harnessing Collective Intelligence in the Age of Large Language Models: Opportunities, Risks, and Future Directions

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Practical Solutions and Value of Collective Intelligence in the Age of Large Language Models

Enhancing Collaboration

Large Language Models (LLMs) like GPT-4 can improve online collaboration by breaking down language barriers, providing writing assistance, and summarizing information.

Facilitating Deliberative Processes

LLMs can streamline discussions by reducing cognitive load, prompting clearer expressions of views, and organizing conversations, leading to more effective deliberative processes.

Improving Ideation Processes

Integrating diverse knowledge fields with the help of LLMs can lead to innovative breakthroughs and enhance group problem-solving capabilities.

Risks and Mitigation

However, reliance on LLMs may discourage original contributions, homogenize perspectives, and amplify commonly held beliefs. To mitigate risks, promoting open LLMs, diversifying research resources, and implementing oversight are crucial steps.

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