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This research examined accessibility issues with AI-created images and assessed current solutions for improving inclusivity. Key problems identified include insufficient alt text, with 45% of AI images lacking proper descriptions, challenges in differentiating AI images from real ones (38.7% misclassification by people), and ethical worries about representation and bias in image descriptions. The study analyzed solutions like AI-based description generators, which can boost accuracy by up to 60%, and better image detection methods. Results show that while progress has been made in making AI images accessible, ongoing work and updates are needed to meet changing standards. The study suggests future research should focus on developing advanced AI models and ethical guidelines to ensure full accessibility, particularly addressing the 13% failure rate of top-performing models and incorporating ethical frameworks into AI training data.
Keywords:
Accessibility, AI-generated images, Alternative text, Image descriptions, Ethical concerns
Cite Article:
"Enhancing AI-Generated Image Accessibility Challenges and Solutions", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 8, page no.145 - 150, August-2024, Available :http://www.ijrti.org/papers/IJRTI2408023.pdf
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000205114
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator