Leveraging Digital Intelligence for Community Well-Being
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Leveraging Digital Intelligence for Community Well-Being Rumy Narayan 1 Received: 6 February 2020 / Accepted: 9 October 2020/ # The Author(s) 2020
Abstract The world of information is mediated by digital technologies, and the growing influence of Artificial Intelligence (AI) on society, through its involvement in everyday life, is likely to present issues with lasting consequences. In the context of improving community well-being using AI, the knowledge, insights, and impressions or analysis required for activating such improvement necessitate a frame of reference. This frame needs to take into account how well-being is understood within the current paradigm of technological innovation as a driver of economic growth. The evaluation of well-being, often defined as an individual’s cognitive and affective assessment of life, takes into account emotional reaction to events based on how satisfaction and fulfillment are discerned. It is a dynamic concept that involves subjective, social, and psychological dimensions, along with a state of being where human needs are met and one can act meaningfully, thus highlighting a relational element underlying social and community well-being. Transitions from a predominantly industrial society towards one that is information-led demand a strategic social design for AI. This article evaluates how well-being is understood within the current paradigm to offer a framework for leveraging AI for community well-being. Keywords Artificial intelligence . Community well-being . Decision making . Technology
. Innovation . Economic growth
Introduction A closer engagement is required with the prospect of Artificial Intelligence’s (AI) radically transformative potential for outpacing human cognitive capabilities along with its ability for bringing technological and economic advances on unprecedented
* Rumy Narayan [email protected]
1
School of Management, Strategic Management, University of Vaasa, Tervahovi D303, Wolffintie 34, 65200 Vaasa, Finland
International Journal of Community Well-Being
timescales (Bostrom et al. 2018). The advances in the capabilities and applications of AI systems have brought into sharper focus risks as well as opportunities for society (Yang et al. 2018). For instance, progress in AI technologies is increasingly making them powerful decision making tools, however, so far, the ability to capture the underlying logic and physical connotations of the problems they solve remain unclear (Guo et al. 2019; Silva et al. 2019). There is an emerging body of research at the intersection of AI and individuals (Anderson and Rainie 2018), industry (Bolton et al. 2018; Hall and Pesenti 2017; Makridakis 2017), and society (Bostrom 2019; Cath et al. 2018). That AI is instrumental in shaping daily lives and key societal practices (Cai et al. 2014; Zheng et al. 2018) is apparent in mature information societies (Floridi 2016). As data and training remain core to AI algorithms and systems (Cath et al. 2018; McGovern et al. 2017), it becomes imperative to engage with
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