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#DataCooperatives

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🌍 Today, I delivered a seminar at #BME on "Leveraging Generative #AI for Democratic Integrity through Decentralized #Web3 Technologies." How #Blockchain, #DAOs, and #DataCooperatives can enhance #trust and #transparency in AI systems, key goals of#ENFIELD #HorizonEurope project.

With BME’s #VIK faculty dean in attendance, our discussions underscored the vital role of Web3 in building more resilient, democratic tech ecosystems.

Continued thread

🌐 Introducing a paradigm shift:

From centralized data control to a decentralized, transparent, and inclusive framework.

We delve into how #Blockchain #DAOs and #DataCooperatives can empower citizens

@BDCC_MDPI
(3.7 #ImpactFactor 4.9 #CiteScore #q1

mdpi.com/2504-2289/8/3/26

@digitalhumanities @digigeolab @DigitalEU @DialoguesHG @geography @anthropology @economics @sociology @politicalscience @politicaltheory

MDPIDemocratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI DisruptionThis article investigates the intricate dynamics of data monopolies, referred to as “data-opolies”, and their implications for democratic erosion. Data-opolies, typically embodied by large technology corporations, accumulate extensive datasets, affording them significant influence. The sustainability of such data practices is critically examined within the context of decentralized Web3 technologies amidst Artificial Intelligence (AI) disruption. Additionally, the article explores emancipatory datafication strategies to counterbalance the dominance of data-opolies. It presents an in-depth analysis of two emergent phenomena within the decentralized Web3 emerging landscape: People-Centered Smart Cities and Datafied Network States. The article investigates a paradigm shift in data governance and advocates for joint efforts to establish equitable data ecosystems, with an emphasis on prioritizing data sovereignty and achieving digital self-governance. It elucidates the remarkable roles of (i) blockchain, (ii) decentralized autonomous organizations (DAOs), and (iii) data cooperatives in empowering citizens to have control over their personal data. In conclusion, the article introduces a forward-looking examination of Web3 decentralized technologies, outlining a timely path toward a more transparent, inclusive, and emancipatory data-driven democracy. This approach challenges the prevailing dominance of data-opolies and offers a framework for regenerating datafied democracies through decentralized and emerging Web3 technologies.