Abstract: |
With the advent of improved Artificial Intelligence (AI) algorithms and the availability of large datasets, researchers worldwide are developing numerous AI-based applications to replicate human capabilities. One such application is automating the task of Speech Language Pathologists (SLPs) and building automated speech therapy tools for children with Speech Sound Disorder (SSD). However, this development of AI focused on imitating human capabilities brings concerns such as algorithmic discrimination or biased algorithms, job displacements, and privacy issues. To address these challenges, researchers advocate for Human-Centered AI (HCAI) and have proposed various frameworks for AI-based systems. Although the proposed frameworks were developed for generalized AI application, it is not clear about its relevance in specialized AI application such as speech therapy. This study aims to establish HCAI goals and a goal hierarchy specific to an HCAI-based Speech Therapy Tool (HCAI-STT) designed for children with SSD. Through an Affinity Mapping exercise, we identify seven top-level goals and sub-goals, which include fairness, responsibility and accountability, human-centered empowerment, trustworthiness, privacy, unbiased funding, and security. Our findings highlight the importance of considering not only the technical capabilities of AI systems, but also their ethical and social implications. By prioritizing these goals, we can help ensure that AI-based speech therapy tools are developed and deployed in a responsible and ethical manner that aligns with the needs and values of their users. Our findings have broader implications for the development and deployment of AI systems across domains, and future research can build on our findings by exploring how the goal hierarchy we developed can be operationalized in practice. |