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AXL is a venture studio focused on developing cutting-edge AI-powered applications. Their mission is to create the next generation of human-augmenting AI technologies by identifying real-world challenges and exploring novel technologydriven
solutions. AXL conducts applied research in AI and Human-Computer Interaction, with a focus on product development and prototyping to fuel innovative startups. This project directly aligns with AXL’s mission by addressing a key challenge: how organizations can effectively leverage advanced machine learning models, particularly large language models (LLMs), to build novel interactive systems. AXL faces the challenge of leveraging rapidly evolving advanced machine learning models to create powerful, accessible, and user-friendly applications. While technologies like Large Language Models have proven useful in tasks including summarization, question answering, and decision making, user trust remains a significant barrier. This research aims to uncover necessary knowledge to implement user interfaces that enhance user accessibility and build user trust in model outputs, paving the way for development of impactful, interactive AI products in high-stakes sectors like finance. his research will contribute to advancing the AI sector by improving user trust in model outputs and enhancing human interactions with AI applications across industries. The project’s success will have wide-reaching social benefits, particularly by enhancing financial literacy and accessibility to trustworthy financial advice. AXL will benefit from the development of novel interactive systems emerging from this research, potentially leading to spin-off companies and partnerships.
Eldan Cohen;Sushant Sachdeva
AXL
Computer science
Professional, scientific and technical services
University of Toronto
Accelerate
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