Results 221 to 230 of about 2,085,409 (278)

AI Alignment Versus AI Ethical Treatment: 10 Challenges

Analytic Philosophy, EarlyView.
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

Taming the chaos ?! - part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents. [PDF]

Eur Child Adolesc Psychiatry
Roessner V, Uhlmann A, Ehrlich S, Waltereit R.   +3 more
europepmc   +1 more source

Generative AI adoption and barriers in the insurance industry

Risk Management and Insurance Review, EarlyView.
Abstract This study examines the adoption of Generative Artificial Intelligence (Gen AI) in the insurance industry through an institutional lens, drawing on semi‐structured interviews with 21 senior insurance professionals. While Gen AI offers significant potential for a data and text‐intensive industry, adoption remains cautious and uneven.
Aisling Owen, Barry Sheehan, Martin Mullins   +2 more
wiley   +1 more source

Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI). [PDF]

Heliyon
Bin Inqiad W, Dumitrascu EV, Dobre RA, Khan NM, Hammood AH, Henedy SN, Khan RMA.   +6 more
europepmc   +1 more source

Prioritising parameters to minimise blood transfusions for postpartum haemorrhage: A machine learning study using national population data

Transfusion Medicine, EarlyView.
Abstract Background Postpartum haemorrhage (PPH) accounts for approximately 27% of maternal deaths worldwide and often requires blood transfusion, along with its associated risks. In resource‐rich settings like South Korea, transfusion disparities persist, highlighting the need for predictive tools to optimise patient blood management (PBM).
Ki Hoon Ahn, Yu‐Min Choi, Kwang‐Sig Lee   +2 more
wiley   +1 more source

Explainable artificial intelligence (xAI) in neuromarketing/consumer neuroscience: an fMRI study on brand perception. [PDF]

Front Hum Neurosci
Marques Dos Santos JP, Marques Dos Santos JD.   +1 more
europepmc   +1 more source

Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study

, 2023
Liu X, Sangers T, Nijsten T, Kayser M, Pardo L, Wolvius E, Roshchupkin G, Wakkee M.   +7 more
europepmc   +1 more source

Personalized Model‐Driven Interventions for Decisions From Experience

Topics in Cognitive Science, EarlyView.
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, Christian Lebiere, Cleotilde Gonzalez, Palvi Aggarwal, Sterling Somers, Konstantinos Mitsopoulos, Milind Tambe   +6 more
wiley   +1 more source

The role of explainable artificial intelligence (XAI) in innovation processes: a knowledge management perspective

Technology and Society
Ilaria Mancuso, A. Petruzzelli, Umberto Panniello, Federico Frattini   +3 more
semanticscholar   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source