2 citations · 3 across the 5 of their papers we have counts for
5 papers
Charting the Parrot's Song: A Maximum Mean Discrepancy Approach to Measuring AI Novelty, Originality, and Distinctiveness
Anirban Mukherjee, Hannah Hanwen Chang
Current intellectual property frameworks struggle to evaluate the novelty of AI-generated content, relying on subjective assessments ill-suited for comparing effectively infinite A…
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference
Anirban Mukherjee, Hannah Hanwen Chang
Social science research often hinges on the relationship between categorical variables and outcomes. We introduce CAVIAR, a novel method for embedding categorical variables that as…
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research
Anirban Mukherjee, Hannah Hanwen Chang
We investigate whether modern AI can emulate expert creativity in complex scientific endeavors. We introduce novel methodology that utilizes original research articles published af…
Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption
Anirban Mukherjee, Hannah Hanwen Chang
Deviating from conventional perspectives that frame artificial intelligence (AI) systems solely as logic emulators, we propose a novel program of heuristic reasoning. We distinguis…
Silico-centric Theory of Mind
Anirban Mukherjee, Hannah Hanwen Chang
Theory of Mind (ToM) refers to the ability to attribute mental states, such as beliefs, desires, intentions, and knowledge, to oneself and others, and to understand that these ment…