Anil Doshi
anilrdoshi.com
Anil Doshi
@anilrdoshi.com
Researcher: firms and genAI/LLMs/innovation/fake news/social media. Teacher: data analytics and strategy. Recovering politics and news junkie.
Pretty amazing tool. Did you have to sort permissions for searching full text of the journal papers?
November 12, 2025 at 7:21 AM
Hard to know. It sometimes boosts outputs from non-experts and sometimes fails to boost output from experts. I think use case is going to matter a lot here.
October 6, 2025 at 6:33 PM
Is there a conference schedule to see the presentations? Sounds fascinating.
September 4, 2025 at 5:54 AM
The second post (just published) covers the first dimension of the tensor: task definition: dosh.substack.com/p/the-first-...
The first dimension of the Human-AI task tensor: task definition
Considering how the clarity and structure of a task shapes effective human-AI collaboration
dosh.substack.com
July 17, 2025 at 9:04 PM
The first substack post provides an overview of the tensor's eight dimensions: dosh.substack.com/p/mapping-th...
Mapping the Future of Work: An Introduction to the Human–AI Task Tensor
Book chapter to be published in the Handbook of AI and Strategy edited by Felipe Csaszar and Nan Jia
dosh.substack.com
July 17, 2025 at 9:04 PM
Thanks for sharing Karthik! We are long overdue for a catchup
March 12, 2025 at 4:15 PM
In the paper we investigate why researchers with different levels of experience had such different reactions to AI assistance with their proposals.
January 8, 2025 at 9:35 PM
When they received generative AI ideas, less experienced researchers view their work as more novel and more impactful (than less experienced researchers who did not get AI ideas) and they viewed their overall research agenda more positively. More experienced researchers felt the exact opposite.
January 8, 2025 at 9:35 PM
What we find: Researchers with different levels of experience react very differently to generative AI.
January 8, 2025 at 9:35 PM
The experiment: We randomly assigned wither researchers received generative AI ideas based on their prior work.

Outcomes: We ask the researchers to assess the prospective novelty and impact of their research and assess the prospects of their overall research agenda.
January 8, 2025 at 9:35 PM
The design: We asked 310 researchers (from a wide variety of academic fields) to provide the title and abstract from a recently published article. And then we asked them to provide a new research proposal based on their own work.
January 8, 2025 at 9:35 PM
The consortium will be held at UCL School of Management in London on 20 May. It is co-organized by me, Oliver Hauser (Exeter), Hila Lifshitz (Warwick), and Pinar Ozcan (Oxford). Please share with your networks/students and encourage them to apply!
January 6, 2025 at 11:22 AM
Looking forward to seeing your applications!
December 23, 2024 at 4:20 PM
Details: 20 May 2025 at UCL School of Management in London. The purpose is to bring together doctoral students conducting work at the intersection of generative AI and management. We welcome applications from students from different disciplines and at various stages in their career.
December 23, 2024 at 4:20 PM
Yes agreed on the need to audit. Good point.
November 30, 2024 at 9:36 AM
I reckon this is something that LLMs can handle pretty easily for someone who is not comfortable with coding.
November 29, 2024 at 8:05 PM
Congratulations @aldona.bsky.social!
November 29, 2024 at 7:26 PM