Xilei Zhao Research Statement

Scott Simon

2 min read

·

13-01-2025

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My research centers on the intersection of human-computer interaction (HCI) and artificial intelligence (AI), specifically focusing on how we can design AI systems that are not only effective but also ethical, inclusive, and user-centered. My work spans several key areas, driven by a fundamental belief that AI should empower individuals and enhance human capabilities, rather than replace or marginalize them.

Core Research Themes

1. Explainable AI (XAI) for Human-AI Collaboration:

This line of inquiry investigates methods for making AI decision-making processes more transparent and understandable to human users. I believe that building trust and fostering effective collaboration between humans and AI necessitates interpretable models and clear communication of AI reasoning. My current projects in this area involve developing novel visualization techniques and interactive tools to help users understand AI's predictions and make informed decisions based on AI's insights. Specifically, I'm exploring the use of causal inference methods to provide users with a deeper understanding of the factors driving AI recommendations.

2. AI for Accessibility and Inclusivity:

AI has the potential to revolutionize accessibility for individuals with disabilities. However, many existing AI systems fail to account for the diverse needs and capabilities of users with varying levels of ability. My research in this area focuses on designing AI-powered assistive technologies that are truly inclusive and empowering. This includes exploring new interaction paradigms, adapting AI models to diverse user populations, and evaluating the efficacy and usability of these systems in real-world contexts. A current project involves developing an AI-powered tool to assist individuals with visual impairments in navigating unfamiliar environments.

3. Human-Centered AI Design:

Underlying all my research is a commitment to human-centered design principles. I believe that effective AI systems must be designed with a deep understanding of user needs, preferences, and limitations. My research utilizes a range of user-centered design methodologies, including participatory design, user testing, and iterative prototyping, to ensure that AI systems are not only technically sound but also meet the needs and expectations of their users. I am particularly interested in exploring the ethical implications of AI design and developing frameworks for responsible AI development.

Future Research Directions

My future research will continue to explore the interplay between HCI and AI, with a focus on addressing the challenges and opportunities presented by the increasing integration of AI into our daily lives. I am particularly interested in:

• Developing novel methods for evaluating the fairness and trustworthiness of AI systems.
• Investigating the societal impact of AI and exploring strategies for mitigating potential harms.
• Exploring the potential of AI to address global challenges such as climate change and healthcare disparities.

Through rigorous research and collaboration, I aim to contribute to the development of AI systems that are beneficial to society and enhance human capabilities for generations to come.