论文标题
普遍计算和大数据时代可信赖的AI
Trustworthy AI in the Age of Pervasive Computing and Big Data
论文作者
论文摘要
普遍计算的时代导致了无数的设备，这些设备可以不断监视用户及其环境，从而产生大量的用户行为数据。这样的数据可能支持提高服务质量，但也可能导致不利的用法，例如监视和广告。同时，人工智能（AI）系统正在应用于医疗保健，正义或人力资源等敏感领域，从而引起了对此类系统的可信度的多次关注。因此，对AI系统的信任与伦理本质上有关，包括算法的伦理，数据伦理或实践伦理。在本文中，我们通过伦理学的角度将值得信赖的AI系统的要求形式化。我们特别关注可以集成到AI系统的设计和开发的方面。在讨论了研究状态和剩余的挑战之后，我们展示了智能城市中的具体用例如何从这些方法中受益。
The era of pervasive computing has resulted in countless devices that continuously monitor users and their environment, generating an abundance of user behavioural data. Such data may support improving the quality of service, but may also lead to adverse usages such as surveillance and advertisement. In parallel, Artificial Intelligence (AI) systems are being applied to sensitive fields such as healthcare, justice, or human resources, raising multiple concerns on the trustworthiness of such systems. Trust in AI systems is thus intrinsically linked to ethics, including the ethics of algorithms, the ethics of data, or the ethics of practice. In this paper, we formalise the requirements of trustworthy AI systems through an ethics perspective. We specifically focus on the aspects that can be integrated into the design and development of AI systems. After discussing the state of research and the remaining challenges, we show how a concrete use-case in smart cities can benefit from these methods.
