1 citations · 1 across the 1 of their papers we have counts for
5 papers
AI and the Future of Academic Peer Review
Sebastian Porsdam Mann, Mateo Aboy, Joel Jiehao Seah +7
Peer review remains the central quality-control mechanism of science, yet its ability to fulfill this role is increasingly strained. Empirical studies document serious shortcomings…
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…
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…