Bauroth Max, Rath-Manakidis Pavlos, Langholf Valentin, Wiskott Laurenz, Glasmachers Tobias
Faculty of Computer Science, Institute for Neural Computation, Ruhr University Bochum, Bochum, Germany.
Institute of Work Science, Ruhr University Bochum, Bochum, Germany.
Front Artif Intell. 2024 Mar 12;7:1354114. doi: 10.3389/frai.2024.1354114. eCollection 2024.
In an era where Artificial Intelligence (AI) integration into business processes is crucial for maintaining competitiveness, there is a growing need for structured guidance on designing AI solutions that align with human needs. To this end, we present "technical assistance concerning human-centered AI development" (tachAId), an interactive advisory tool which comprehensively guides AI developers and decision makers in navigating the machine learning lifecycle with a focus on human-centered design. tachAId motivates and presents concrete technical advice to ensure human-centeredness across the phases of AI development. The tool's effectiveness is evaluated through a catalog of criteria for human-centered AI in the form of relevant challenges and goals, derived from existing methodologies and guidelines. Lastly, tachAId and one other comparable advisory tool were examined to determine their adherence to these criteria in order to provide an overview of the human-centered aspects covered by these tools and to allow interested parties to quickly assess whether the tools meet their needs.
在一个将人工智能（AI）集成到业务流程中对于保持竞争力至关重要的时代，越来越需要有关设计符合人类需求的人工智能解决方案的结构化指导。为此，我们推出了“关于以人为本的人工智能开发的技术援助”（tachAId），这是一种交互式咨询工具，它全面指导人工智能开发者和决策者在关注以人为本设计的情况下经历机器学习生命周期。tachAId激发并提供具体的技术建议，以确保在人工智能开发的各个阶段都以人为本。该工具的有效性通过以相关挑战和目标形式呈现的以人为本的人工智能标准目录进行评估，这些标准源自现有方法和指南。最后，对tachAId和另一个类似的咨询工具进行了检查，以确定它们对这些标准的遵守情况，以便概述这些工具所涵盖的以人为本的方面，并让相关方能够快速评估这些工具是否满足他们的需求。
