A Framework for Centralizing forces in AI
Emiel Robben, Sixuan Pei, Yuan Wei, Nils Müller · Team TURING
Submitted to AI and Democracy Hackathon: Demonstrating the Risks. Sprint projects are early-stage work by participants, not Apart Research publications.
There are many forces that the LLM revolution brings with it that either centralize or decentralize specific structures in society. We decided to look at one of these, and write a research design proposal that can be readily executed. This survey can be distributed and can give insight into how different LLMs can lead to user empowerment. By analyzing how different users are empowered by different LLMs, we can estimate which LLMs work to give the most value to people, and empower them with the powerful tool that is information, giving more people more agency in the organizations they are part of. This is the core of bottom-up democratization.
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Cite this project
@misc{robben2024framework,
title = {{A Framework for Centralizing forces in AI}},
author = {Emiel Robben and Sixuan Pei and Yuan Wei and Nils Müller},
year = {2024},
month = may,
note = {Submitted to AI and Democracy Hackathon: Demonstrating the Risks, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/a-framework-for-centralizing-forces-in-ai}},
url = {https://apartresearch.com/sprints/projects/a-framework-for-centralizing-forces-in-ai}
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