Human-Centered Explainable AI
We research how AI explanations should be designed for different users, tasks, and contexts, ensuring transparency and helping people understand AI reasoning, uncertainty, and decision-making processes.
HUMAN FACTORS IN ARTIFICIAL INTELLIGENCE
Building human-centered AI systems.
By combining human factors engineering, applied AI research and interaction design to build intelligent systems that are inclusive, trustworthy, and safe for the next billion users.
OUR MISSION
Human-centered AI for the next billion users.
At Paxi Labs, we believe the future of artificial intelligence depends not only on capability, but on how well AI understands, supports, and adapts to human needs.
We research how people interact with AI systems and build technologies that are safe, explainable, inclusive, and trustworthy by design. Our work combines human factors research, interface design, and applied AI to create equitable systems that serve real human needs across healthcare, finance, education, and beyond.
"Effective AI is not about what the system can do, it is about what people can do because of it."
Paxi Labs — Founding Principle
OUR RESEARCH FOCUS
What we work on
Trust Architecture & Calibration
We study how people develop, lose, and recover trust in AI systems, designing feedback, safeguards, and guardrails that help users rely on AI appropriately, thereby neither over-trusting nor under-trusting its capabilities.
Mental Models Through Interface Design
People build their understanding of AI through the interfaces they use. We explore how interface and interaction design shape users' mental models, creating experiences that make AI abilities, limits, and behavior easier to understand.
Inclusive Design & AI Equity
We research how AI systems impact different communities, focusing on bias, accessibility, and fairness, and create design practices that ensure AI works equitably across cultures, abilities, and lived experiences.
Multimodal & Accessible AI Interfaces
We research how people engage with AI through voice, text, vision, and other modalities, building AI interfaces that are accessible, robust across devices, and adaptable to varied users and environments.
AI Governance & Safety
We research practical frameworks, workflows, and tools for governing AI in real organisations, connecting everyday AI product decisions to safety, accountability, and long-term human and societal outcomes.
OUR STRATEGY
2026 - 2030 Roadmap
2026 - FOUNDATION
- Identify research focus
- Define core questions
- Publish early findings
2027 - DISCOVERY
- Run empirical studies
- Identify venture themes
- Build partnerships
2028 - VENTURE
- Develop first MVP
- Test with real users
- Launch venture 1
2029 - GROWTH
- Scale Venture 1
- Explore Venture 2
- Make key hires
2030 - SCALE
- Run multiple ventures
- Build on research
- Become trusted partner
GET IN TOUCH
Let's talk.
Whether you're a researcher, investor, potential collaborator, or someone curious about our work, We would love to hear from you. Paxi Labs is in its founding phase, which means every conversation matters.
founders@paxilabs.com
linkedin.com/in/paxilabs
MEDIUM
medium.com/paxilabs