Summary of A Review on Building Blocks Of Decentralized Artificial Intelligence, by Vid Kersic et al.
A Review on Building Blocks of Decentralized Artificial Intelligence
by Vid Kersic, Muhamed Turkanovic
First submitted to arxiv on: 5 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This abstract presents a systematic literature review on decentralized artificial intelligence (DEAI), exploring 71 identified studies to identify the building blocks of DEAI solutions and networks. The study challenges the centralization of AI, questioning digital privacy, ownership, and control concerns in current approaches like centralized AI (CEAI). Instead, it highlights the potential of DEAI to address these issues, offering a bottom-up approach for analysis. By analyzing existing work in the field, the authors propose future research directions and open problems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how artificial intelligence is changing our lives. It’s great that AI is making progress, but there are some big questions we need to answer to make sure it develops fairly. For example, who owns our personal data and controls how it’s used? This review of 71 studies explores a new way of thinking about AI, called decentralized artificial intelligence (DEAI). DEAI could help solve these problems by giving people more control over their own data. The authors look at what we currently know about DEAI and suggest where future research should go. |
