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 design. I bring my strategic insights to the forefront of responsible AI development at ServiceNow and a spectrum of international organizations.
My journey is enriched by extensive experience in human-machine interaction (HCI), where I've led the charge in research and design efforts to democratize autonomous collaborative robots for non-experts.
I've played a pivotal role in crafting the standard for human-AI collaborative workflows, impacting the deployment of autonomous mobile robots worldwide.
Beyond my work in HCAI and HCI, I’ve helped organizations create frameworks and tools that underpin responsible AI practices.
As a technology innovator, an ambassador for Google's Women Techmakers, and a judge for the CES Innovations Awards, I am committed to fostering conversations about responsible AI. I aspire to develop technology that addresses pressing human challenges and embodies the principles of beneficence and benevolence, shaping a future where innovation and ethics converge.
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.
