Authors: Vid Kersic, Muhamed Turkanovic

Published on: February 05, 2024

Impact Score: 8.38

Arxiv code: Arxiv:2402.02885

Summary

• What is new: This paper uniquely compiles and analyses work in decentralized artificial intelligence (DEAI), distinguishing itself by focusing on DEAI’s building blocks via a bottom-up approach.
• Why this is important: The ethical development of AI, specifically issues like digital privacy and ownership, challenges current centralized AI models.
• What the research proposes: A systematic literature review (SLR) exploring DEAI as a more ethical and feasible alternative to centralized AI, by reviewing existing DEAI works and identifying their core components.
• Results: Through analysis of 71 studies, the paper maps out the foundational elements of DEAI, setting the stage for future research and addressing open problems.

Technical Details

Technological frameworks used: Systematic Literature Review (SLR)

Models used: Decentralized AI models and networks

Data used: Analysis of 71 identified studies in DEAI

Potential Impact

This research is pertinent to tech companies working in AI, blockchain firms, and industries focusing on data privacy and security, showing a shift towards DEAI could be beneficial.

Want to implement this idea in a business?

We have generated a startup concept here: DecentraNetAI.