3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CY2025
Stochastic, Dynamic, Fluid Autonomy in Agentic AI: Implications for Authorship, Inventorship, and Liability
Anirban Mukherjee, Hannah Hanwen Chang
Agentic Artificial Intelligence (AI) systems, exemplified by OpenAI's DeepResearch, autonomously pursue goals, adapting strategies through implicit learning. Unlike traditional gen…
cs.LG2023
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Anirban Mukherjee, Hannah H. Chang
We propose a novel framework for incorporating qualitative data into quantitative models for causal estimation. Previous methods use categorical variables derived from qualitative…
cs.AI2023★ 3 cited
The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff
Anirban Mukherjee, Hannah Chang
In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) sy…