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Horizons of AI = ethical considerati...
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Farmanbar, Mina.
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Horizons of AI = ethical considerations and interdisciplinary engagements : 2nd international conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2024 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Horizons of AI/ edited by Mina Farmanbar ... [et al.].
Reminder of title:
ethical considerations and interdisciplinary engagements : 2nd international conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2024 /
remainder title:
FAIEMA 2024
other author:
Farmanbar, Mina.
corporate name:
International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xxii, 626 p. :ill., digital ;24 cm.
[NT 15003449]:
HST-4: An Accountability Extension to Human-Swarm Teaming Architecture -- A Supervisory Control Scheme towards Exchanging Formations of a Parametric Number of Mobile Robots -- Evaluation of Deep learning approaches for prediction of traffic accidents in DashCam Videos -- A Fault Diagnosis based Safety Supervisor Control for an Automated Guided Vehicle with Faulty Modes -- The use of "Ethics by Design" approach as a method to mitigate the challenges posed by automated decision-making systems in justice -- Perception of Bias in AI-Generated News Articles: A Comparative Study between Generation X and Generation Z -- Language of the research community in AI Ethics in Education: considerations of the present and perspectives for the future -- On the Impact of AI on Research Ethics -- An Evaluation of Data Pipelines with Large Language Models -- Is KAN More Interpretable Than MLP? A Comparative Study on Image and Text Data -- Improving Early Dementia Detection with Advanced Language Models Based on Linguistic Features -- Automatic Classification of Neurodegenerative Disorders Using EEG Data -- Utilizing Environmental, Social and Governance (ESG) and Machine Learning (ML) in Predicting Shipping Loan Defaults -- Using Explainable AI (XAI) to Understand Sentiment Analysis of Hotel Reviews -- Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain -- The Social-based Credit Scoring Approach: New Insights for Eligibility using Social Media Data -- Towards the Design of Digital Hydraulic Systems using Fuzzy Logic Control.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-96-7945-4
ISBN:
9789819679454
Horizons of AI = ethical considerations and interdisciplinary engagements : 2nd international conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2024 /
Horizons of AI
ethical considerations and interdisciplinary engagements : 2nd international conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2024 /[electronic resource] :FAIEMA 2024edited by Mina Farmanbar ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxii, 626 p. :ill., digital ;24 cm. - Frontiers of artificial intelligence, ethics and multidisciplinary applications,2731-8133. - Frontiers of artificial intelligence, ethics and multidisciplinary applications..
HST-4: An Accountability Extension to Human-Swarm Teaming Architecture -- A Supervisory Control Scheme towards Exchanging Formations of a Parametric Number of Mobile Robots -- Evaluation of Deep learning approaches for prediction of traffic accidents in DashCam Videos -- A Fault Diagnosis based Safety Supervisor Control for an Automated Guided Vehicle with Faulty Modes -- The use of "Ethics by Design" approach as a method to mitigate the challenges posed by automated decision-making systems in justice -- Perception of Bias in AI-Generated News Articles: A Comparative Study between Generation X and Generation Z -- Language of the research community in AI Ethics in Education: considerations of the present and perspectives for the future -- On the Impact of AI on Research Ethics -- An Evaluation of Data Pipelines with Large Language Models -- Is KAN More Interpretable Than MLP? A Comparative Study on Image and Text Data -- Improving Early Dementia Detection with Advanced Language Models Based on Linguistic Features -- Automatic Classification of Neurodegenerative Disorders Using EEG Data -- Utilizing Environmental, Social and Governance (ESG) and Machine Learning (ML) in Predicting Shipping Loan Defaults -- Using Explainable AI (XAI) to Understand Sentiment Analysis of Hotel Reviews -- Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain -- The Social-based Credit Scoring Approach: New Insights for Eligibility using Social Media Data -- Towards the Design of Digital Hydraulic Systems using Fuzzy Logic Control.
This book navigates the intricate landscape of artificial intelligence (AI) integration, exploring its ethical dimensions and interdisciplinary engagements. Spanning sectors such as engineering, health care, robotics, industry, law, economics, education, transportation, and multimedia, it transcends mere technicalities. Embracing a multidisciplinary approach, the book sheds light on AI's transformative potential and practical implications. By blending theoretical underpinnings with real-world case studies, it offers a nuanced understanding of AI and its applications. Covering machine learning, natural language processing, computer vision, data analytics, and robotics and control, it equips researchers, professionals, and enthusiasts with the tools to navigate the evolving AI landscape responsibly.
ISBN: 9789819679454
Standard No.: 10.1007/978-981-96-7945-4doiSubjects--Topical Terms:
606815
Artificial intelligence
--Congresses.
LC Class. No.: Q334
Dewey Class. No.: 006.3
Horizons of AI = ethical considerations and interdisciplinary engagements : 2nd international conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2024 /
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HST-4: An Accountability Extension to Human-Swarm Teaming Architecture -- A Supervisory Control Scheme towards Exchanging Formations of a Parametric Number of Mobile Robots -- Evaluation of Deep learning approaches for prediction of traffic accidents in DashCam Videos -- A Fault Diagnosis based Safety Supervisor Control for an Automated Guided Vehicle with Faulty Modes -- The use of "Ethics by Design" approach as a method to mitigate the challenges posed by automated decision-making systems in justice -- Perception of Bias in AI-Generated News Articles: A Comparative Study between Generation X and Generation Z -- Language of the research community in AI Ethics in Education: considerations of the present and perspectives for the future -- On the Impact of AI on Research Ethics -- An Evaluation of Data Pipelines with Large Language Models -- Is KAN More Interpretable Than MLP? A Comparative Study on Image and Text Data -- Improving Early Dementia Detection with Advanced Language Models Based on Linguistic Features -- Automatic Classification of Neurodegenerative Disorders Using EEG Data -- Utilizing Environmental, Social and Governance (ESG) and Machine Learning (ML) in Predicting Shipping Loan Defaults -- Using Explainable AI (XAI) to Understand Sentiment Analysis of Hotel Reviews -- Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain -- The Social-based Credit Scoring Approach: New Insights for Eligibility using Social Media Data -- Towards the Design of Digital Hydraulic Systems using Fuzzy Logic Control.
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This book navigates the intricate landscape of artificial intelligence (AI) integration, exploring its ethical dimensions and interdisciplinary engagements. Spanning sectors such as engineering, health care, robotics, industry, law, economics, education, transportation, and multimedia, it transcends mere technicalities. Embracing a multidisciplinary approach, the book sheds light on AI's transformative potential and practical implications. By blending theoretical underpinnings with real-world case studies, it offers a nuanced understanding of AI and its applications. Covering machine learning, natural language processing, computer vision, data analytics, and robotics and control, it equips researchers, professionals, and enthusiasts with the tools to navigate the evolving AI landscape responsibly.
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based on 0 review(s)
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