Requirements Engineering Framework for Human-centered Artificial Intelligence Software Systems
This work addresses the challenge of making AI software more responsible and inclusive for developers and users, but it is incremental as it builds on existing human-centered AI guidelines.
The authors tackled the problem of integrating human-centered aspects into requirements engineering for AI-based software, presenting a framework that includes a catalog and conceptual model, and applied it to a case study on enhancing 360-degree video quality for VR users, finding it helped the team understand and prioritize human-centered needs.
[Context] Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions focus on technical aspects and ignore critical human-centered aspects. [Objective] Including human-centered aspects during requirements engineering (RE) when building AI-based software can help achieve more responsible, unbiased, and inclusive AI-based software solutions. [Method] In this paper, we present a new framework developed based on human-centered AI guidelines and a user survey to aid in collecting requirements for human-centered AI-based software. We provide a catalog to elicit these requirements and a conceptual model to present them visually. [Results] The framework is applied to a case study to elicit and model requirements for enhancing the quality of 360 degree~videos intended for virtual reality (VR) users. [Conclusion] We found that our proposed approach helped the project team fully understand the human-centered needs of the project to deliver. Furthermore, the framework helped to understand what requirements need to be captured at the initial stages against later stages in the engineering process of AI-based software.