A little background
Research, practice,
and a sense of responsibility.
I’m Arvinder Singh Kang, a researcher and founder based in Canada. My work connects language and AI with the experience of building companies and technology inside public institutions.
I have published on Panjabi-language computing since 2010. My research asks what large language models lose in languages the industry overlooks, and how we can measure it.
Previously, I co-founded UrbanLogiq, a GovTech data platform for public agencies.
At The Digital Economist, as Program Director of its Global Executive Fellowship, I developed fellowship and entrepreneurship programmes, convened executives and policymakers, and hosted conversations on technology and society.
My work at BCLC has included modernising the lottery business line and reducing deployment times while working within a regulated public institution. These experiences inform the questions I bring to research and policy.
Selected experience
- UrbanLogiq
- Co-founder & Chief Technology Officer · 2016–2019
- The Digital Economist
- Program Director, Global Executive Fellowship
- BCLC
- Manager, System Analysis (Capability Manager)
- Lighthouse Labs
- Senior Instructor · 2014–2015
Education & continuing inquiry
- University of Mississippi
- Computer science research and M.S. in Engineering, Computer Science
- Yale School of Management
- Global Pre-MBA Leadership Scholar · 2015
- MasterClass Executive
- Inaugural-cohort participant · in partnership with the University of Chicago Booth School of Business
- VC University
- Cohort 23 · Currently participating · UC Berkeley Law Executive Education and Venture Forward
A guiding thought
Technology must be built and governed in service of society.
That means paying attention to the languages people speak, the institutions they rely on, and the choices technology makes possible.