However, the article also highlights potential issues, such as the quality and accuracy of AI-generated content, and the possibility of AI-produced data overwhelming human-produced data on the internet. It concludes by encouraging readers to contribute to the ongoing discussion on the role of AI in shaping collective intelligence.
Key takeaways:
- Collective intelligence (CI) refers to the notion of how intelligence arises and flows on a substantial scale, and AI is now a significant contributor to this.
- Generative AI apps, which have been data-trained by scanning the Internet, encapsulate a semblance of human intelligence and contribute to the collective intelligence by generating new content.
- There are concerns about the quality of AI-generated content and the potential for it to flood the Internet with synthetic data, overshadowing human-produced content.
- Research on the intersection of collective intelligence and AI is still in its early stages, and there are opportunities for individuals to contribute to shaping its direction.