8 citations · 22 across the 6 of their papers we have counts for
6 papers
Who Owns My AI Twin? Data Ownership in a New World of Simulated Identities
Paulius Jurcys, Ashley Greenwald, Mark Fenwick +3
The emergence of AI twins, digital replicas that encapsulate an individual's knowledge, memories, psychological traits, and behavioral patterns, raises novel legal and ethical chal…
A Quantifiable Information-Processing Hierarchy Provides a Necessary Condition for Detecting Agency
Brett J. Kagan, Valentina Baccetti, Brian D. Earp +3
As intelligent systems are developed across diverse substrates - from machine learning models and neuromorphic hardware to in vitro neural cultures - understanding what gives a sys…
The Provenance Problem: LLMs and the Breakdown of Citation Norms
Brian D. Earp, Haotian Yuan, Julian Koplin +1
The increasing use of generative AI in scientific writing raises urgent questions about attribution and intellectual credit. When a researcher employs ChatGPT to draft a manuscript…
Authorship Without Writing: Large Language Models and the Senior Author Analogy
Clint Hurshman, Sebastian Porsdam Mann, Julian Savulescu +1
The use of large language models (LLMs) in bioethical, scientific, and medical writing remains controversial. While there is broad agreement in some circles that LLMs cannot count…
Development of Application-Specific Large Language Models to Facilitate Research Ethics Review
Sebastian Porsdam Mann, Joel Seah Jiehao, Stephen R. Latham +3
Institutional review boards (IRBs) play a crucial role in ensuring the ethical conduct of human subjects research, but face challenges including inconsistency, delays, and ineffici…
Relational Norms for Human-AI Cooperation
Brian D. Earp, Sebastian Porsdam Mann, Mateo Aboy +59
How we should design and interact with social artificial intelligence depends on the socio-relational role the AI is meant to emulate or occupy. In human society, relationships suc…