This article explores the potential biases introduced by AI-generated content and suggests implementing safeguards, including content auditing and norms.

Language models like GPT-4 are capable of producing remarkably human-like text. While AI-generated content can be useful in many contexts, its usage on platforms like the EA Forum carries potential risks.

Biased Influence on the EA Movement:

One of the core tenets of the EA movement is the rigorous evaluation of evidence and arguments. AI-generated content, however, introduces a novel risk of bias. If AI-generated content becomes prevalent on the EA Forum without appropriate safeguards, it could heavily influence the direction and discussions within the movement. The nature of AI models is such that they learn from existing data, including the biases present in the training data. Consequently, AI-generated content may perpetuate existing biases, leading to a distorted representation of the movement's core principles.

Compromising Independence in AI Safety:

Effective altruists recognize the importance of addressing AI safety concerns to ensure the responsible development and deployment of artificial intelligence. By relying heavily on AI-generated content, the EA Forum could inadvertently compromise its ability to independently shape AI safety discussions. Genuine insights and perspectives from experts might be overshadowed or diluted by AI-generated content, potentially hindering the movement's influence on the development of effective safeguards.

Safeguards and Auditing AI-Generated Content:

To protect the integrity and independence of the EA movement, it is crucial to implement safeguards regarding AI-generated content on the EA Forum. One potential approach is to establish norms and guidelines that encourage transparency in content generation. The current EA Forum policy on AI generated content is light on: https://forum.effectivealtruism.org/posts/yND9aGJgobm5dEXqF/guide-to-norms-on-the-forum. Users could at least be encouraged to disclose if their posts or comments have been generated or assisted by AI. This transparency would allow readers to critically evaluate the content and consider potential biases or limitations.

Additionally, auditing could could be conducted (by who?) to detect and flag AI-generated content. AI models leave subtle traces in the text that can be identified through techniques like stylometric analysis or linguistic pattern recognition. Implementing periodic audits to sense AI-generated content can help maintain the integrity of discussions and prevent undue influence on the movement's direction.

Community Engagement and Human Oversight:

The EA community should strive for a balanced approach that combines the advantages of AI with human judgment. Human oversight and active community engagement are vital.