Skip to main content
Priya Kumar on Muck Rack

Priya Kumar

Boyds
As seen in: CNN, Medium, Bangalore Mirror, HuffPost, Nature, Wiley Online Library, Yahoo Canada, Yahoo News Malaysia, NBC News, PBS and
I study how digital tech affects children’s privacy. Asst. prof @ISTatPennState. Always up for a good conversation. 2xTerp+Wolverine, she/her
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Priya

Contact Priya, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Hinterland creators fuel India's orange economy

|
By Priya Kumar
| Adgully Verified
Authored by: Priya Kumar, Managing Partner and Creative Head, Cre8r.ai A filmmaker in Gorakhpur editing her short film on her phone, a musician from Chennai releasing his single in Tamil, or a game designer in Bhubaneswar building immersive experiences for global studios, have something in common. They haven’t been to any film school and  by most conventional measures are outside the system. And yet, they form the quiet architecture of India's Orange Economy.
Open in Who Shared Issue with article?

Structured reasoning failures compromise LLM interpretation of clinical oncology notes

|
By Matthew W. Kenaston, Umair Ayub, Mihir Parmar, Priya Kumar, Muhammad Umair Anjum, Aadel A. Chaudhuri, Yousef Zakharia, Elisabeth I. Heath, Tanios S Bekaii-Saab, Cui Tao, Eliezer Van Allen, Yoojung Choi, Chitta Baral, Irbaz Bin Riaz
| Nature Verified
Abstract Large language models (LLMs) show strong performance on clinical benchmarks, yet their reasoning reliability in real-world oncology care remains unclear. We evaluated LLM reasoning on authentic oncology notes using a novel hierarchical error taxonomy across two retrospective cohorts spanning breast, pancreatic, and prostate cancer. GPT-4 produced reasoning errors in 23.1% of note interpretations, the majority reflecting cognitive bias patterns.
Open in Who Shared Issue with article?

Entrevistadores de IA no pueden conectar con las personas de la misma manera que lo hacen los humanos

|
By Priya Kumar, Ankolika De, Kelley Cotter
| Forbes México Verified
Anthropic, la empresa detrás de la herramienta de IA generativa Claude, afirmó en marzo de 2026 haber utilizado un entrevistador de IA para realizar el estudio cualitativo más grande y multilingüe jamás realizado. La herramienta de IA recopiló respuestas de casi 81,000 personas sobre sus visiones de la IA, abarcando 70 idiomas y 159 países. Anthropic sostiene que herramientas como esta permiten a los investigadores realizar entrevistas ricas y abiertas a gran escala.
Open in Who Shared Issue with article?
See all 96 licensed articles (102 Total)