Results 131 to 140 of about 55,142 (282)

Towards Compositional Interpretability for XAI

CoRR
Artificial intelligence (AI) is currently based largely on black-box machine learning models which lack interpretability. The field of eXplainable AI (XAI) strives to address this major concern, being critical in high-stakes areas such as the finance, legal and health sectors.
Sean Tull, Robin Lorenz, Stephen Clark, Ilyas Khan, Bob Coecke   +4 more
openaire   +2 more sources

Shaping expectations, losing flexibility: A study of CEO promises as strategic communication tools

Strategic Management Journal, EarlyView.
Abstract Research Summary CEO promises are powerful but understudied communication tools. We develop a dual‐mechanism framework theorizing that while CEO promises elevate stakeholder expectations, they simultaneously constrain strategic flexibility. We argue that CEO promise‐making is shaped by two competing pressures: making more promises when the ...
Majid Majzoubi, Alex Murray, William J. Mayew   +2 more
wiley   +1 more source

Liposome Particle Size Prediction by In‐Line Process Analytical Technology (PAT)‐Integrated Machine Learning

Small Methods, EarlyView.
An in‐line PAT‐integrated ML strategy for microfluidic liposome synthesis accurately predicted particle size from formulation parameters and fluoresence sensing data. The model captured both seen and unseen conditions, demonstrating robust generalization and process control with low error.
Junghu Lee, Nozomi Morishita Watanabe, Noriko Yoshimoto, Seonghyeon Eom, Moon Kyu Kwak, Ho‐Sup Jung, Hiroshi Umakoshi   +6 more
wiley   +1 more source

Generative AI—the Transgression of Technology

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley   +1 more source

Explainable machine learning for breast cancer diagnosis from mammography and ultrasound images: a systematic review

BMJ Health & Care Informatics
Background Breast cancer is the most common disease in women. Recently, explainable artificial intelligence (XAI) approaches have been dedicated to investigate breast cancer. An overwhelming study has been done on XAI for breast cancer.
Worku Jimma, Daraje kaba Gurmessa
doaj   +1 more source

(Dis)information Systems: a Systemic View of Disinformation

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Disinformation is an ancient social phenomenon that has found a favourable environment for dissemination in internet‐based social networks. While the scientific community seeks to address the problem by creating specific tools to detect and classify the various types of false information, we argue that systems thinking is necessary to ...
Herbert Laroca, Vitor Rocio, Antonio Cunha   +2 more
wiley   +1 more source

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Nature Communications
Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance.
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, İrem Özdemir, Raymond L. Barnhill, Mar Llamas-Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Reader Study Consortium, Titus J. Brinker   +35 more
doaj   +1 more source

Tailoring Microstructure and Hardness in Maraging 300 Steel via 2.4 wt.% Niobium Addition and Controlled Aging Treatments

steel research international, EarlyView.
High Nb (2.4 wt.%) addition to Maraging 300 steel drives lattice distortion and nanoscale Nb–Mo‐rich precipitation, confirmed by energy‐dispersive X‐ray spectroscopy mapping (Mo ~5.4 wt.%, Nb ~2.5 wt.%). Nanoindentation reveals strong matrix hardening (H >4.8 GPa) at 480°C aging, while 560°C induces ~1.92 vol.% reverted austenite, enabling tunable ...
Laylla Sharon B. Peixoto, Mohammad Masoumi, Luís Henrique N. de Lima, Marcos Natan da Silva Lima, Luis Flávio Gaspar Herculano, Isabel Ferreira de Barros, Geronimo Perez, Maria Vittoria Moraschini Reis, Hamilton Ferreira Gome Abreu, Marcelo J. Gomes da Silva   +9 more
wiley   +1 more source

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study

Nature Communications
Artificial intelligence (AI) systems substantially improve dermatologists’ diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing their confidence and trust in AI-driven decisions.
Tirtha Chanda, Sarah Haggenmueller, Tabea-Clara Bucher, Tim Holland-Letz, Harald Kittler, Philipp Tschandl, Markus V. Heppt, Carola Berking, Jochen S. Utikal, Bastian Schilling, Claudia Buerger, Cristian Navarrete-Dechent, Matthias Goebeler, Jakob Nikolas Kather, Carolin V. Schneider, Benjamin Durani, Hendrike Durani, Martin Jansen, Juliane Wacker, Joerg Wacker, Reader Study Consortium, Titus J. Brinker   +21 more
doaj   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source