Distributed, decentralized, and democratized artificial intelligence

Montes, Gabriel Axel; Goertzel, Ben

doi:10.1016/j.techfore.2018.11.010

Cited by 115 publications

(63 citation statements)

References 3 publications

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“…This presents an ethical issue that would likely emerge once such advanced technology is integrated into personal lives and represents an example of potential abuse through non-disclosure and/or structural compulsion. The importance of ethical theorising in the field of AI has been previously discussed by the authors (Montes and Goertzel 2018;Montes 2017b. In addition to the merits of NOC in advancing AI/AGI with hitherto unexplored modes of cognition, NOC also has merits in ethical theorising due to certain types of NOC that occur in the context of compassionate and altruistic intentional frameworks in the world's wisdom traditions (Montes 2017b).…”

Section: Artificial and Distributed Ledger Mindplexesmentioning

confidence: 97%

“…The authors have previously discussed the importance of developing a distributed, decentralized, and democratic (DDD) AI (Montes and Goertzel 2018) in order to include a broader swath of humanity's palette of valuational and cognitive diversity in AGI, which will grow to play an increasingly critical role in the future of humanity and life on earth and beyond. It is also important to take significant steps in this direction sooner than later, because humans are creating AI/AGI in our own image (what we believe ourselves to be and be capable of), and with the increasing influence of AI in society and life, human cognition will, in turn, be affected by how AI agents interact with humans (Montes 2017a).…”

Section: Artificial and Distributed Ledger Mindplexesmentioning

confidence: 99%

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Mindplexes, Non-Ordinary Consciousness, and Artificial General Intelligence

Montes

Goertzel

2019

Preprint

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The accelerating pace of development in artificial intelligence invokes fundamental questions regarding what constitutes a mind. Considering that AI has sprung from the cognitive enterprise of humanity and that there is the likely prospect of constructing some form of 'global brain', examining such questions may help to refine the conversation around AI and understand what might constitute a global brain. We draw on recent work in philosophy of mind and cognition—viewing mind as being representational and/or enactive in nature and function—, and hone in on insights that practices and accounts of non-ordinary consciousness (NOC) lend to this discussion. We discuss the concept of a "mindplex", which is comprised of individual constituents (humans and/or AI's) and an encompassing collective global brain that both concurrently possess cohesive 'theatres of consciousness'. We posit that these theatres of an AGI global brain have correspondences with key aspects of the inherent nature of consciousness and reality (as understood outside the AI context) as gleaned through NOC. We propose that these considerations are poised to strongly contribute to the construction of mindplexes by reflecting in their functional architecture the nature of mind and engineering mindplexes in tandem with ethical and value-alignment considerations. Furthermore, we propose the adoption and implementation of AI on distributed ledger technology (DLT), such as blockchain, which would provide support for the evolution of a global brain mindplex.

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Section: Artificial and Distributed Ledger Mindplexesmentioning

confidence: 97%

Section: Artificial and Distributed Ledger Mindplexesmentioning

confidence: 99%

Mindplexes, Non-Ordinary Consciousness, and Artificial General Intelligence

Montes

Goertzel

2019

Preprint

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“…ML-based systems generally perform better the more data they are trained on, for example, with regards to classification accuracy [21,82]. Some authors see recent developments in IT, in which few companies are in control of large amounts of personal data, critical and propose DLT-based data markets to democratize such data silos [13,83]. As such, a group of articles proposes solutions based on DLT to build data sharing infrastructures, thus enabling the deployment of AI.…”

Section: B Secure Data Sharing and Marketplace For Aimentioning

confidence: 99%

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda

et al. 2020

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Developments in Artificial Intelligence (AI) and Distributed Ledger Technology (DLT) currently lead to lively debates in academia and practice. AI processes data to perform tasks that were previously thought possible only for humans. DLT has the potential to create consensus over data among a group of participants in uncertain environments. In recent research, both technologies are used in similar and even the same systems. Examples include the design of secure distributed ledgers or the creation of allied learning systems distributed across multiple nodes. This can lead to technological convergence, which in the past, has paved the way for major innovations in information technology. Previous work highlights several potential benefits of the convergence of AI and DLT but only provides a limited theoretical framework to describe upcoming real-world integration cases of both technologies. We aim to contribute by conducting a systematic literature review on previous work and providing rigorously derived future research opportunities. This work helps researchers active in AI or DLT to overcome current limitations in their field, and practitioners to develop systems along with the convergence of both technologies.

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“…The extent of an unfair advantage is magnified in communities where the resources, knowledge and organizational structures are missing for communities to engage with and contribute to the development of AI. Montes and Goertzel (2019), citing the unfair advantage of large corporations over academics and small business enterprises, call for "distributed, decentralized, and democratized…(research and development of AI and an) infrastructure for coordinated action...(to)…facilitate the evolution of AI...that is both highly capable and beneficial for humanity and beyond" (p. 354). We suggest that research into the nexus of AI and community well-being could aid in such an evolution.…”

Section: Threats To Community Well-being From Aimentioning

confidence: 99%

Artificial Intelligence and Community Well-being: A Proposal for an Emerging Area of Research

Musikanski¹,

Rakova

Bradbury³

et al. 2020

Int. Journal of Com. WB

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We are calling for a new area of research on the nexus of community well-being and artificial intelligence (AI). Three components of this research we propose are (1) the development and use of well-being metrics to measure the impacts of AI; (2) the use of community-based approaches in the development of AI; and (3) development of AI interventions to safeguard or improve community well-being. After providing definitions of community, well-being, and community well-being, we suggest a definition of AI for use by community well-being researchers, with brief explanations of types and uses of AI within this context. A brief summary of threats and opportunities facing community well-being for which AI could potentially present solutions or exacerbate problems is provided. The three components we propose are then discussed, followed by our call for cross-sector, interdisciplinary, transdisciplinary and systems-based approaches for the formation of this proposed area of research.

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Distributed, decentralized, and democratized artificial intelligence

Cited by 115 publications

References 3 publications

Mindplexes, Non-Ordinary Consciousness, and Artificial General Intelligence

Mindplexes, Non-Ordinary Consciousness, and Artificial General Intelligence

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda

Artificial Intelligence and Community Well-being: A Proposal for an Emerging Area of Research

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