Artificial Intelligence in Service
Authors: MingβHui Huang, Roland T. Rust
Artificial intelligence (AI) is increasingly reshaping service by performing various tasks, constituting a major source of innovation, yet threatening human jobs. We develop a theory of AI job replacement to address this double-edged impact. The theory specifies four intelligences required for service tasksβmechanical, analytical, intuitive, and empatheticβand lays out the way firms should decide ...
π
Published: 2018
π Source: OpenAlex
π Citations: 2749
Artificial Intelligence in Education: A Review
Authors: Lijia Chen, Pingping Chen, Zhijian Lin
The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and learning. A qualitative research approach, leveraging the use of literature review as a research des...
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Authors: Amina Adadi, Mohammed Berrada
At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the shift towards a more algorithmic society. However, even with such unprecedented advancements, a key impediment to the use of AI-based systems is that they often lack transparency. Indeed, the black-box nature of t...
DeepMPTB: a vaginal microbiome-based deep neural network as artificial intelligence strategy for efficient preterm birth prediction
Authors: Oshma Chakoory, Vincent Barra, Emmanuelle Rochette
<jats:title>Abstract</jats:title><jats:p>In recent decades, preterm birth (PTB) has become a significant research focus in the healthcare field, as it is a leading cause of neonatal mortality worldwide. Using five independent study cohorts including 1290 vaginal samples from 561 pregnant women who delivered at term (<jats:italic>n</jats:italic>β=β1029) or prematurely (<jats:italic>n</jats:italic>β...
π
Published: 2024-2-14
π Source: CrossRef
π Citations: 9
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework
Authors: Evana Gizzi, Lakshmi Nair, Sonia Chernova
Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context, especially in cases where the environment may change in unpredictable ways post deployment, remains...