2 citations · 4 across the 4 of their papers we have counts for
4 papers
Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows
Nimisha Karnatak, Max Van Kleek, Nigel Shadbolt
Generative AI systems are increasingly deployed in high-stakes professional contexts, where their outputs shape what users believe, how they reason, and what they treat as settled.…
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández +3
General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a Gen…
Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces
Nimisha Karnatak, Adrien Baranes, Rob Marchant +3
Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who stru…
ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners
Nimisha Karnatak, Adrien Baranes, Rob Marchant +2
Small business owners (SBOs) often lack the resources and design experience needed to produce high-quality advertisements. To address this, we developed ACAI (AI Co-Creation for Ad…