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.

针对越来越多的批评，即在公共服务中使用人工智能会加剧歧视等不道德活动，本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的道德使用中心。在人工智能道德预见框架的构建下，我们探讨了人工智能如何以及为何被用于地方公共服务及其成果、当前人工智能公共服务的道德评估程度以及道德评估是否符合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自称是欧洲人工智能使用道德中心的城市中部署，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道德规范，特别是加强对公民的问责制。在此过程中，我们以实际的方式展示了如何识别和应对道德决策过程，以解决可解释性和可理解性问题。

我们建议，人工智能使用带来的负面道德结果是可以避免的，但这需要公民参与创新过程的精神，并投入大量时间和精力，在提供者、技术合作伙伴和服务用户之间分配学习和意见，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。