Exploring the intersections of responsible AI for community wellbeing in local governance: A comprehensive review

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Abstract

This article explores the relationship between artificial intelligence (AI) and community well-being for local governance. It investigates the potential use of AI to ease societal issues and improve community well-being. This article provides an overview of the impact of AI on community dynamics, smart urban planning, and integrating AI optimization with community well-being. The incorporation of smart applications into urban planning approaches is highlighted as a critical component, demonstrating AI's revolutionary potential for creating sustainable and inclusive landscapes. The main issue is the importance of combining AI optimization with community well-being, with a focus on responsible and ethical AI approaches that benefit the community. This review also goes over emotional AI and its ethical consequences, intellectual freedom in AI ethics, and AI's role in healthcare. This comprehensive analysis offers significant insights for researchers, policymakers, and practitioners looking to shape the ethical and equitable deployment of AI technology for societal benefit.

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Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Tan Yigitcanlar, Juan Corchado, Rashid Mehmood … (2021)

The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

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Aligning AI Optimization to Community Well-Being

Jonathan Stray (2020)

This paper investigates incorporating community well-being metrics into the objectives of optimization algorithms and the teams that build them. It documents two cases where a large platform appears to have modified their system to this end. Facebook incorporated “well-being” metrics in 2017, while YouTube began integrating “user satisfaction” metrics around 2015. Metrics tied to community well-being outcomes could also be used in many other systems, such as a news recommendation system that tries to increase exposure to diverse views, or a product recommendation system that opstimizes for the carbon footprint of purchased products. Generalizing from these examples and incorporating insights from participatory design and AI governance leads to a proposed process for integrating community well-being into commercial AI systems: identify and involve the affected community, choose a useful metric, use this metric as a managerial performance measure and/or an algorithmic objective, and evaluate and adapt to outcomes. Important open questions include the best approach to community participation and the uncertain business effects of this process.

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Community-in-the-loop: towards pluralistic value creation in AI, or—why AI needs business ethics

Johann Häußermann, Christoph Lütge (2021)

Today, due to growing computing power and the increasing availability of high-quality datasets, artificial intelligence (AI) technologies are entering many areas of our everyday life. Thereby, however, significant ethical concerns arise, including issues of fairness, privacy and human autonomy. By aggregating current concerns and criticisms, we identify five crucial shortcomings of the current debate on the ethics of AI. On the threshold of a third wave of AI ethics, we find that the field eventually fails to take sufficient account of the business context and deep societal value conflicts the use of AI systems may evoke. For even a perfectly fair AI system, regardless of its feasibility, may be ethically problematic, a too narrow focus on the ethical implications of technical systems alone seems insufficient. Therefore, we introduce a business ethics perspective based on the normative theory of contractualism and conceptualise ethical implications as conflicts between values of diverse stakeholders. We argue that such value conflicts can be resolved by an account of deliberative order ethics holding that stakeholders of an economic community deliberate the costs and benefits and agree on rules for acceptable trade-offs when AI systems are employed. This allows AI ethics to consider business practices, to recognise the role of firms, and ethical AI not being at risk to provide a competitive disadvantage or in conflict with the current functioning of economic markets. By introducing deliberative order ethics, we thus seek to do justice to the fundamental normative and political dimensions at the core of AI ethics.

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Author and article information

Journal

Title: i-manager's Journal on Humanities & Social Sciences

Abbreviated Title: JHSS

Publisher: i-manager Publications

ISSN (Electronic): 2583-9381

Publication date Created: 2024

Publication date (Electronic): 2024

Volume: 4

Issue: 1

Page: 57

Article

DOI: 10.26634/jhss.4.1.20327

SO-VID: 1037bbbc-57c4-4bc1-ac39-8361930301fb

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Exploring the intersections of responsible AI for community wellbeing in local governance: A comprehensive review

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Environmental, Social, and Governance

Most cited references 9

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Aligning AI Optimization to Community Well-Being

Community-in-the-loop: towards pluralistic value creation in AI, or—why AI needs business ethics

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