AI Alignment Versus AI Ethical Treatment: 10 Challenges
ABSTRACT A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding ...
Adam Bradley, Bradford Saad
wiley +1 more source
Personalized Model‐Driven Interventions for Decisions From Experience
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford +6 more
wiley +1 more source
Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe. [PDF]
Cilli R +11 more
europepmc +1 more source
Applications of ChatGPT in the Health Sector: A Systematic Literature Review
ABSTRACT The integration of large language models, particularly ChatGPT, into healthcare has attracted increasing attention due to their potential to support medical education, clinical decision‐making, administrative workflows, patient communication and clinical documentation.
Alejandro Martínez‐Burgos +3 more
wiley +1 more source
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. [PDF]
Gouverneur P +7 more
europepmc +1 more source
Do Humans and GAI See Eye to Eye? Implications of LLM Scoring Volatility in Supplier Evaluations
ABSTRACT This study compares Generative Artificial Intelligence (GAI) to human procurement professionals on supplier evaluation tasks. Using Structural Topic Modeling (STM) on 123 government supplier bids from 31 projects solicited by the State of Ohio between January 2023 and December 2024, we compare evaluations from three reasoning models (o3, Grok ...
Finnegan A. McKinley +2 more
wiley +1 more source
On Using the Shapley Value for Anomaly Localization: A Statistical Investigation
ABSTRACT Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. We use a reasonable statistical model for the classifiers required to compute the Shapley value to provide repeatable and rigorous analysis in the anomaly localization application.
Rick S. Blum +2 more
wiley +1 more source
Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI). [PDF]
Meas M +7 more
europepmc +1 more source
In this work, we have performed human‐based evaluation of three post hoc explainability techniques, Local Interpretable Model Agnostic Explanations (LIME), Shapely Additive Explanations (SHAP), and integrated Gradients (IG) for a multilingual Bidirectional Encoder Representations from Transformers (mBERT) based binary and multi‐label misogyny ...
Sargam Yadav +2 more
wiley +1 more source
Explainable artificial intelligence (XAI) in medical imaging: a systematic review of techniques, applications, and challenges. [PDF]
Ahmed F +5 more
europepmc +1 more source

