Artificial Intelligence for Social Innovation: Beyond the Noise of Algorithms and Datafication

【Author】 Calzada, Igor

【Source】SUSTAINABILITY

【影响因子】3.889

【Abstract】In an era of rapid technological advancement, decisions about the ownership and governance of emerging technologies like Artificial Intelligence will shape the future of both urban and rural environments in the Global North and South. This article explores how AI can move beyond the noise of algorithms by adopting a technological humanistic approach to enable Social Innovation, focusing on global inequalities and digital justice. Using a fieldwork Action Research methodology, based on the Smart Rural Communities project in Colombia and Mozambique, the study develops a framework for integrating AI with SI. Drawing on insights from the AI4SI International Summer School held in Donostia-San Sebasti & aacute;n in 2024, the article examines the role of decentralized Web3 technologies-such as Blockchain, Decentralized Autonomous Organizations, and Data Cooperatives-in enhancing data sovereignty and fostering inclusive and participatory governance. The results demonstrate how decentralization can empower marginalized communities in the Global South by promoting digital justice and addressing the imbalance of power in digital ecosystems. The conclusion emphasizes the potential for AI and decentralized technologies to bridge the digital divide, offering practical recommendations for scaling these innovations to support equitable, community-driven governance and address systemic inequalities across the Global North and South.

【Keywords】AI; social innovation; web3; blockchain; DAOs; data cooperatives; decentralization; political economy; digital justice; global south

【发表时间】2024 OCT

【收录时间】2024-10-23

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-人工智能