COMMUNICATIVE ACCESSIBILITY IN THE AGE OF GENERATIVE AI: TOWARD A MULTIMODAL INCLUSIVE COMMUNICATION FRAMEWORK FOR DIGITAL MEDIA
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Abstract
This article addresses a critical gap in the digital accessibility literature: the inadequacy of technical standards, most notably the Web Content Accessibility Guidelines (WCAG), for ensuring the communicative participation of persons with disabilities in environments increasingly mediated by generative artificial intelligence (AI). Drawing on an integrative review of 63 sources spanning disability studies, communication sciences, AI ethics, and human-computer interaction, we propose the Multimodal Accessible Inclusive Communication (MAIC) Framework — an original tripartite theoretical architecture organized around three interdependent dimensions. The Technolinguistic Dimension addresses AI system capabilities required for genuine communicative accessibility, including modality coverage, semiotic equivalence, adaptive register generation, and real-time responsiveness. The Sociocommunicational Dimension specifies the institutional, interactional, and structural conditions that transform technical capability into authentic communicative participation. The Ethical-Governance Dimension grounds AI communication governance in the United Nations Convention on the Rights of Persons with Disabilities (CRPD) and proposes accountability mechanisms including accessibility impact assessments, participatory design mandates, and algorithmic audits. The Framework’s implications are examined with particular attention to the Ibero-American context, addressing specificities related to Brazilian Sign Language (Libras), regional linguistic diversity, and structural equity in digital access. The MAIC-Framework represents a rights-based, participation-oriented theoretical contribution that advances the field beyond compliance-driven approaches.
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