Pith. sign in

REVIEW 1 cited by

A Review on Building Blocks of Decentralized Artificial Intelligence

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2402.02885 v2 pith:6MULE5XN submitted 2024-02-05 cs.AI cs.CRcs.DC

A Review on Building Blocks of Decentralized Artificial Intelligence

classification cs.AI cs.CRcs.DC
keywords artificialdeaiintelligenceproblemsblocksbuildingdecentralizeddirections
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
read the original abstract

Artificial intelligence is transforming our lives, and technological progress and transfer from the academic and theoretical sphere to the real world are accelerating yearly. But during that progress and transition, several open problems and questions need to be addressed for the field to develop ethically, such as digital privacy, ownership, and control. These are some of the reasons why the currently most popular approaches of artificial intelligence, i.e., centralized AI (CEAI), are questionable, with other directions also being widely explored, such as decentralized artificial intelligence (DEAI), to solve some of the most reaching problems. This paper provides a systematic literature review (SLR) of existing work in the field of DEAI, presenting the findings of 71 identified studies. The paper's primary focus is identifying the building blocks of DEAI solutions and networks, tackling the DEAI analysis from a bottom-up approach. In the end, future directions of research and open problems are proposed.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions

    cs.AI 2026-07 conditional novelty 3.5

    AIIE is framed as an AI-dominated innovation ecosystem whose participant mix, coopetition, and goals shift by lifecycle stage, illustrated with Owkin and four open challenges.