Strategist
HCAI
AI Ethicist
Public speaker & advocate for responsible AI development.
HELLO WORLD
I am Di Le, and I am deeply immersed in human-centered AI. I bring my strategic insights to the forefront of responsible AI development at ServiceNow and a spectrum of international organizations.
I'm an AI Ethicist and Human-Centered AI Strategist, working at the intersection of AI governance, UX research, and ethics. My work focuses on human-AI collaboration, safeguard-oriented design, and building trustworthy systems that align innovation with societal values.
My path to AI ethics began in human-machine interaction research, where I developed standards for human-AI collaborative workflows grounded in human-centered and responsible AI practices. These frameworks scaled internationally, shaping the deployment of autonomous systems worldwide. That foundation—making complex technology accountable and human-centered—now drives my approach to AI governance.
I partner with academic institutions on empirical research into human-AI interaction and collaborate with nonprofit organizations like the Data Science Alliance to create standards, frameworks, and white papers that help organizations operationalize responsible AI. I'm a TEDx speaker and present internationally on AI ethics, culture, and design. I serve as a CES Innovation Awards judge, Google WTM Global Ambassador, and remain committed to developing technology that addresses pressing human challenges, while embodying principles of beneficence and care.
Upcoming Speaking Events
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Dev & Data Night X The CTO Talks
Thursday, March 20 , 6PM - 8:30PM
Torrey Heights
11202 El Camino Real San Diego, CA 92130
As the moderator, I’ll be guiding insightful discussions with top CTOs in the industry. This unique gathering brings together technology leaders, innovators, and enthusiasts from the tech industry to explore the evolving landscape of tech leadership, development, and data science.
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TEDx Talk
Thursday, March 29
Details coming soon.
TEDx is an international community that celebrates locally-driven ideas and elevating them to a global stage.
Publications
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Investigating Interaction Friction in Generative AI: Improving User Experience and Decision-Making
Our paper explores the role of intentional friction in Human-AI interactions, challenging the prevailing notion that frictionless experiences are inherently superior. Grounded in three theoretical frameworks—Media Richness, Situation Awareness, and Split-Attention theories—we investigated how introducing friction impacts user perceptions and decision-making when interacting with a Generative AI Assistant.

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White Paper: AI Post-ChatGPT: A Progress Report & Future Forecast
This white paper analyzes the lessons learned and the insights gained that can guide us toward a future where we mitigate the risks while maximizing the opportunities for innovation, equity, and shared understanding.
