Enhancing Financial Accessibility: Leveraging Generative AI for Inclusive Communication and Reporting

Generative artificial intelligence has the potential to make financial reports, presentations, and dashboards more accessible and easier to understand for a wider audience. This research explores how AI can help by automating subtitles, creating descriptions for charts and graphs, simplifying reports, and designing accessible financial tools. Generative AI uses natural language processing and machine learning to take financial data and turn it into clear, readable summaries. For example, AI can create real-time subtitles for financial presentations, making them accessible for people with hearing impairments. It can also generate descriptions for financial visuals, like charts and graphs, helping those who are visually impaired understand the data. AI can even rewrite complex financial reports in simpler language, making them easier for everyone to read. Another key application of AI is improving financial dashboards and reporting tools. AI can help make dashboards easier to navigate, ensuring they meet web content accessibility guidelines by using clear fonts, high-contrast colors, voice commands, and screen reader compatibility. These improvements allow clients, employees, and investors with different needs to access and understand financial information independently. By adopting these AI-driven solutions, financial institutions can reach more people and comply with accessibility regulations. However, AI in finance also comes with challenges, such as bias in AI-generated content, data security concerns, and ethical risks. This research discusses these issues and provides best practices for using AI responsibly. Additionally, new advancements, like multimodal AI, are explored to show how future technologies can further improve accessibility. By using generative AI, financial companies can make financial information more inclusive and user-friendly. This research highlights the importance of adopting AI to remove barriers, helping people of all abilities understand and interact with financial data more easily.

Publication Details

Journal
Scholar Commons (University of South Carolina)
Published
2025-04-11
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
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article

Enhancing Financial Accessibility: Leveraging Generative AI for Inclusive Communication and Reporting

Scholar Commons (University of South Carolina)
Explainable Artificial Intelligence (XAI)
article

Enhancing Financial Accessibility: Leveraging Generative AI for Inclusive Communication and Reporting

article en

Abstract

Generative artificial intelligence has the potential to make financial reports, presentations, and dashboards more accessible and easier to understand for a wider audience. This research explores how AI can help by automating subtitles, creating descriptions for charts and graphs, simplifying reports, and designing accessible financial tools. Generative AI uses natural language processing and machine learning to take financial data and turn it into clear, readable summaries. For example, AI can create real-time subtitles for financial presentations, making them accessible for people with hearing impairments. It can also generate descriptions for financial visuals, like charts and graphs, helping those who are visually impaired understand the data. AI can even rewrite complex financial reports in simpler language, making them easier for everyone to read. Another key application of AI is improving financial dashboards and reporting tools. AI can help make dashboards easier to navigate, ensuring they meet web content accessibility guidelines by using clear fonts, high-contrast colors, voice commands, and screen reader compatibility. These improvements allow clients, employees, and investors with different needs to access and understand financial information independently. By adopting these AI-driven solutions, financial institutions can reach more people and comply with accessibility regulations. However, AI in finance also comes with challenges, such as bias in AI-generated content, data security concerns, and ethical risks. This research discusses these issues and provides best practices for using AI responsibly. Additionally, new advancements, like multimodal AI, are explored to show how future technologies can further improve accessibility. By using generative AI, financial companies can make financial information more inclusive and user-friendly. This research highlights the importance of adopting AI to remove barriers, helping people of all abilities understand and interact with financial data more easily.

Scholar Commons (University of South Carolina)
Quality Education
Openalex Percentile: Top 72%
Explainable Artificial Intelligence (XAI)
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