13 citations · 24 across the 15 of their papers we have counts for
5 papers · 1 filter
Causally Fair Generation with Large Language Models
Patrik Okanovic, Torsten Hoefler, Drago Plecko
Large language models (LLMs) are increasingly used to generate, complete, and transform information in settings where their outputs can shape consequential decisions, raising conce…
Confounder Detection via Treatment Intent: A New Observational Study Design
Drago Plecko, Patrik Okanovic, Torsten Hoefler +1
Understanding the effects of interventions is central to scientific progress, with randomized controlled trials (RCTs) regarded as the gold standard for causal inference in many ap…
Causal Bias Detection in Generative Artificial Intelligence
Drago Plecko
Automated systems built on artificial intelligence (AI) are increasingly deployed across high-stakes domains, raising critical concerns about fairness and the perpetuation of demog…
Causal Algorithmic Recourse: Foundations and Methods
Drago Plecko, Collin Wang, Elias Bareinboim
The trustworthiness of AI decision-making systems is increasingly important. A key feature of such systems is the ability to provide recommendations for how an individual may rever…
Causal Fairness for Survival Analysis
Drago Plecko
In the data-driven era, large-scale datasets are routinely collected and analyzed using machine learning (ML) and artificial intelligence (AI) to inform decisions in high-stakes do…