The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences

Wang, Fei-Yue; Ding, Wenwen; Wang, Xiao; Garibaldi, Jon; Teng, Siyu; Imre, Rudas; Olaverri-Monreal, Cristina

doi:10.1109/mis.2022.3167070

Cited by 36 publications

(15 citation statements)

References 3 publications

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“…As illustrated in Fig. 9 , we can start from combining traditional CeSci with new DeSci to gradually break the oligarchies in control and automation, both in academics and industries or knowledge and practice, and build new platforms and networks for control science and technology that lead us from CeSci for Control, Control Science of Team Sciences (Control SciTS), Open Science for Control, to DeSci for Control Intelligence [25], [27] with the help of CPSS and its metaverses, blockchain, smart contracts, Web3, and DAO for both organizations and operations. At this point, more investigation and effort are urgently needed in this direction for revolutionizing the chain and ecology from the generation of control knowledge to the application of automation technology, and making knowledge automation, instead of physical automation as in today's industrial automation, as the new norm of intelligent industries.…”

Section: Desci For Control In Cpss: New Sciencementioning

confidence: 99%

“…1) Big models or foundation models in deep learning of AI field for decision recommendation, especially federated transformers and their federations in federated as proposed in the recent works [46]- [51]; 2) New organizational, co-ordinational, and executional technology emerged in blockchain, smart contracts, web3, DAO, DeSci, and DeSoc, called OCE or ecological smart technology collectively [25], [27], [52]- [54]. OCE technology will provide great potential to enable SoPCS in constructing intelligent metasystems for humanized unmanned processes with human intelligence, and mechanized human operations with machine precision, the ultimate goal of metacontrol and decontrol in metaverses.…”

Section: The System Of Parallel Control Systems For Knowledge Automat...mentioning

confidence: 99%

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The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS

Wang

2022

IEEE/CAA J. Autom. Sinica

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Briefing: An investigation and outline of MetaControl and DeControl in Metaverses for control intelligence and knowledge automation are presented. Prescriptive control with prescriptive knowledge and parallel philosophy is proposed as the starting point for the new control philosophy and technology, especially for computational control of metasystems in cyberphysical-social systems. We argue that circular causality, the generalized feedback mechanism for complex and purposive systems, should be adapted as the fundamental principle for control and management of metasystems with metacomplexity in metaverses. Particularly, an interdisciplinary approach is suggested for MetaControl and DeControl as a new form of intelligent control based on five control metaverses: MetaVerses, MultiVerses, InterVerses, TransVerse, and DeepVerses.

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Section: Desci For Control In Cpss: New Sciencementioning

confidence: 99%

Section: The System Of Parallel Control Systems For Knowledge Automat...mentioning

confidence: 99%

The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS

Wang

2022

IEEE/CAA J. Autom. Sinica

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“…DeSci extends the concept of decentralization, DAO and decentralized thinking to scientific funding, publishing, operations, organizations, and inter-, multi-, and crossdisciplinary studies. 20 Complementing centralized science and developments, DeAI could play an essential role in DeSci and open science to enable and enhance bottom-up, self-organizing, self-motivated, free, open, secure, privacy-preserving, personalized, adaptive, and trustworthy scientific thinking, fields, organizations, operations, activities, and developments.…”

Section: Smart Descimentioning

confidence: 99%

Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci

Cao

2022

IEEE Intell. Syst.

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Centralization has dominated classic scientific, social, and economic developments. Decentralization has also received increasing attention in management, decision, governance, and economics, despite its incomparability in AI. Going beyond centralized and distributed AI, this article reviews and delineates the conceptual map, research issues, and technical opportunities of decentralized AI and edge intelligence. The complementarity and metasynthesis between centralized and decentralized AI are also elaborated. We further assess where decentralized AI and edge intelligence can enable and promote smart blockchain, Web3, metaverse and decentralized science disciplinarily, technically, practically, and more broadly. Decentralization 1 complements and enhances centralization for systematic, all-round, and multifold objectives, functionality, and consequences. The paradigm shift from centralization to distribution has substantially mitigated methodology, knowledge, and capability gaps in social science, management science, decision science, economics, computing, complex systems, and AI. On the other hand, opensource and science have made paramount complementary achievements and contributions, and blockchain is transforming and inspiring finance to decentralized finance (DeFi), and the World Wide Web to Web3. In contrast, decentralizing AI is still an open area. By reviewing decentralized movements, systems, and technologies, including the recent movements on the blockchain, Web3, and decentralized science (DeSci), we paint a research picture of decentralized AI (DeAI), the research issues in edge intelligence, and the tasks of synthesizing centralized AI (CeAI) and DeAI. These further envisage and inspire the opportunities of DeAI-enabled smart blockchain, Web3, metaverse, and DeSci. DECENTRALIZATIONDecentralization is not a buzzword, hype or myth, although such concerns have been widely raised on decentralization-oriented initiatives, such as Web3 and the metaverse. Decentralization is also not a new or mysterious concept. 1 It has a 200-year history and is grounded in political science (such as subsidiarity, democracy, liberty, equality, and the decentralist movement), management and decision science (e.g., systems theory, self-organization, and self-determination), and economics (e.g., decentralized free markets and fiscal decentralization). Decentralization (with forms, such as devolution, deconcentration, delegation, etc.) is complementary or an alternative to centralization (and concentration), such as decentralized organizations, infrastructures, administration, operations, and services, corresponding to their centralized counterparts. In contrast to centralizing resourcing, manufacturing, and supply, globalization partitions, distributes, and decentralizes industrial, manufacturing, and supply chains to usually isolated and local economies and productivity. Open society, open government, and open science further promote the decentralization of administration, governance, governmentality, and scientific activiti...

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“…As an alternative to this traditional system, Decentralized Science (DeSci) activities or systems are gaining popularity (Figure 1) 12 . Multiple scientific entities are beginning to apply Web3 technology, most notably blockchain, to obtain research funding and to publish results 13 . These entities are often run by autonomous organizations of scientists, called decentralized autonomous organizations (DAOs).…”

Section: Mainmentioning

confidence: 99%

“…For example, they could damage interests of current publishers. Nonetheless, we hope this emerging movement will solve presently unresolved problems, e.g., payment of incentives to reviewers, stability of reproducibility 13,16,17 .…”

Section: Mainmentioning

confidence: 99%

Autonomous, bidding, credible, decentralized, ethical, and funded (ABCDEF) publishing

Oka¹,

Takashima²,

Mori³

et al. 2022

Preprint

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Scientists write research articles, process ethics reviews, evaluate proposals and research, and seek funding. Several strategies have been proposed to optimize these operations and to decentralize access to research resources and opportunities. For instance, we previously proposed the trinity review method, combining registered reports with financing and research ethics assessments. However, previously proposed systems have a number of shortcomings, including how to implement them, e.g., who manages them, how incentives for reviewers are paid, etc. Various solutions have been proposed to address these issues, employing decentralized science (DeSci) in an independent organization built on the blockchain. Decentralized approaches that exploit these developments offer potentially profound improvements to the troubled scientific ecosystem. Here, we propose a system that integrates ethics reviews, peer reviews, and funding in a decentralized manner, based on Web3 technology. This new method, named ABCDEF publishing, would enhance the speed, fairness, and transparency of scientific research and publishing.

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The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences

Cited by 36 publications

References 3 publications

The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS

The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS

Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci

Autonomous, bidding, credible, decentralized, ethical, and funded (ABCDEF) publishing

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