arXiv:2606.24854v1 Announce Type: cross Abstract: Artificial intelligence (AI) can enhance what people who use augmentative and alternative communication (AAC) are able to do with their systems. However, evaluating AI-powered AAC interfaces can be difficult. People are intersectional beings and current evaluation metrics can struggle to capture the multifaceted and nuanced desires people may have for their AAC. We explore the complicated nature of six AAC problem spaces, explore how AI might be used in these spaces, and suggest more robust methods of evaluation that take the intersectional nua
The rapid advancement of AI capabilities is enabling its application to complex human interaction challenges, such as augmentative and alternative communication (AAC), necessitating refined evaluation methods.
This development highlights the critical need for robust, intersectional evaluation frameworks for AI systems interacting with vulnerable populations, ensuring ethical and effective integration.
The focus is shifting from purely technological development of AI in AAC to a more holistic, user-centric evaluation that considers the nuanced needs and desires of individuals.
- · AAC users
- · AI ethics researchers
- · Assistive technology developers
- · Human-computer interaction specialists
- · Developers ignoring ethical AI principles
- · Evaluation frameworks lacking intersectional perspectives
Improved AI-powered AAC interfaces will enhance communication for individuals with disabilities.
Increased demand for interdisciplinary researchers skilled in AI, ethics, and human-centered design for assistive technologies.
Broader adoption of intersectional evaluation methodologies across other AI applications, setting a new standard for responsible AI development.
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