Local public services and the ethical deployment of artificial intelligence

IF 7.8 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Government Information Quarterly Pub Date : 2023-10-01 DOI:10.1016/j.giq.2023.101865

T. Kinder , J. Stenvall , E. Koskimies , H. Webb , S. Janenova

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引用次数: 0

Abstract

Responding to growing criticism that the use of artificial intelligence in public services reinforces unethical activities such as discrimination, the paper presents two new cases from the cities in Finland, both self-describing as centres for the ethical use of AI. Structured by an ethical AI foresighting framework we explore how and why AI is being used in local public services and its outcomes, the degree to which current AI-enabled public services are ethically evaluated and whether ethical evaluation features in trends for future AI use.

The research objectives are to demonstrate how AI is being deployed in cities claiming to be European centres for ethical AI use, to innovate new service models and to present a new framework, based on social learning to help analysis of ethics in AI-related innovation processes, in particular those enhancing accountability to citizens. In doing so, we show in practical terms how ethical decision-making processes are identified and responded to addressing explainability and understandability issues.

We suggest that negative ethical results from AI use can be avoided, however this requires an ethos of citizen involvement in innovation processes and significant investment in times and attention to distribute learning and opinions between providers, technical partners and service users include an acknowledgment that technical partners learn from users as well as users learning from technical partners.

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地方公共服务与人工智能的伦理部署

针对越来越多的批评，即在公共服务中使用人工智能会加强歧视等不道德的活动，该论文提出了来自芬兰城市的两个新案例，这两个城市都自称是人工智能伦理使用的中心。在道德人工智能预见框架的框架下，我们探讨了人工智能如何以及为什么被用于当地公共服务及其结果，当前人工智能支持的公共服务在多大程度上得到道德评估，以及道德评估是否成为未来人工智能使用的趋势。研究目标是展示人工智能如何在声称是欧洲伦理人工智能使用中心的城市中部署，创新新的服务模式，并提出一个基于社会学习的新框架，以帮助分析人工智能相关创新过程中的伦理，特别是那些加强对公民问责的过程。在这样做的过程中，我们以实际的方式展示了如何识别和回应道德决策过程，以解决可解释性和可理解性问题。我们建议可以避免人工智能使用带来的负面道德后果，但这需要公民参与创新过程的精神，以及在提供商、技术合作伙伴和服务用户之间投入大量时间和精力来传播学习和意见，包括承认技术合作伙伴向用户学习，以及用户向技术合作伙伴学习。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Government Information Quarterly INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

15.70

自引率

16.70%

发文量

106

期刊介绍： Government Information Quarterly (GIQ) delves into the convergence of policy, information technology, government, and the public. It explores the impact of policies on government information flows, the role of technology in innovative government services, and the dynamic between citizens and governing bodies in the digital age. GIQ serves as a premier journal, disseminating high-quality research and insights that bridge the realms of policy, information technology, government, and public engagement.