AI Revolution: Research, Ethics and Society

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Details

This book constitutes the proceedings of the International conference on AI Revolution: Research, Ethics and Society, AIR-RES 2025, held in Las Vegas, Navada, USA, during April 1416, 2025.

The AIR-RES Conference received 620 submissions, of which 131 papers were accepted, resulting in a paper acceptance rate of 21%.


Inhalt

.- ARTIFICIAL INTELLIGENCE: EXISTENTIAL RISKS + AI BIAS.

.- Addressing Perceived Existential Risks of Agentic AI through Agile Trustworthiness Engineering.

.- A Systematic Analysis of AGI and ASI Existential Risk Scenarios.

.- The New Regulatory Paradigm: IEEE Std 7003 and Its Impact on Bias Management in Autonomous Intelligent Systems.

.- Echo Chamber Dynamics in LLMs: Mitigating Bias and Model Drift.

.- Mitigating Gender Bias in English-Dravidian Machine Translation Using Chain of Thought Reasoning.

.- Unveiling Biases in Multimodal Generative AI.

.- New York, New York - Unraveling Bias in Large Language Models: Investigating Differences Between Standard and Reasoning-Based Language Models.

.- Existential Risks of Superintelligence: The Critical Role of Leadership in Sustainable Supply Chain Management.

.- Prevalences of AI Bias in Adolescent Hospitalization Risk Prediction.

.- ARTIFICIAL INTELLIGENCE: NLP, LARGE Language MODELS, AND APPLICATIONS.

.- Sequential Text Compression Strategy: A Study of NLP and Data Cleaning Preprocessing Tasks for Optimizing.

.- Performance Evaluation of LLM Hallucination Reduction Strategies for Reliable Qualitative Analysis.

.- LLM-Augmented Approach for Learning of Human-Centric Cybersecurity.

.- Cybersecurity Policy Clustering with LLM-Based Embeddings and Dimensionality Reduction.

.- Toxicity Detection Using Large Language Models.

.- Utilizing Large Language Model for Programming Course Exercise Generation.

.- Leveraging Large Language Models for Detecting and Managing Software Antipatterns Throughout the Software Lifecycle.

.- Comparing LLM and Human Expert Responses to Problem Gambling Questions.

.- Agentic AI & LLM Incorporation with Personas.

.- AI-Driven LLM Agent for Data WorkFlow.

.- Leveraging Prompt Engineering and Retrieval-Augmented Generation with Large Language Models for AI-Driven Music Source Separation.

.- Reformation and Practical Implementation of the Advanced Programming Language Design Course Tailored for the Artificial Intelligence and Cyber Security.

.- Building the Low-Resource Nigerian Igbo Language Corpora.

.- The Use of ChatGPT for Coding Comparison of Two Variables.

.- Teaching Research Design with ChatGPT: Supporting M.A. Students in their Group Capstone/Thesis Completion.

.- ARTIFICIAL INTELLIGENCE: ALGORITHMS, APPLICATIONS, AND FRAMEWORKS.

.- Weak and Strong Potentiality Control for Interpreting Multi-Layered Neural Networks.

.- Decentralized Consensus by Proof-of-Randomness among IoT Devices.

.- Robust Evolutionary Clustering in Temporal Graphs via Nonnegative Matrix Factorization.

.- Capacitance-Based Bedwetting Alarm System for Differentiating Urination from Sweat Using Machine Learning.

.- A Hybrid Sentiment Analysis Model to Detect Racism Tweets using Lexicon-Based Sentiment Analysis and a Support Vector Machine Algorithm.

.- EEFactUPP: Evidence Evaluation and Fact Verification using User Perspective Prompting.

.- A Framework for Emotional Transition Detection.

.- Advancing Computational Problem-Solving with Python, Generative AI, and Google Colab.

.- The Agentic AI Mindset - A Practitioner's Guide to Architectures, Patterns, and Future Directions for Autonomy and Automation.

.- ARTIFICIAL INTELLIGENCE: ETHICS, SOCIETAL AND PHILOSOPHICAL IMPACTS.

.- Machine Intelligence, Socio-economic Impacts of AI and Potential Scenarios for AI Coexistence with Human Society.

.- EBA-AI: Ethics-Guided Bias-Aware AI for Efficient Underwater Image Enhancement and Coral Reef Monitoring.

.- Advancing Cognitive Developmental Robotics: Robot Pain as a Bridge from Embodiment to Societal Interaction - A Framework for Ethical and Societal Integration.

.- Ethical Assessment of a Case Involving the Use of "Conversational Agents" in Education According to EU Principles.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783032123121
    • Genre Information Technology
    • Editor Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh
    • Lesemotiv Verstehen
    • Anzahl Seiten 516
    • Größe H28mm x B155mm x T235mm
    • Jahr 2026
    • EAN 9783032123121
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-032-12312-1
    • Titel AI Revolution: Research, Ethics and Society
    • Untertitel International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14-16, 2025, Proceedings, Part I
    • Gewicht 797g
    • Herausgeber Springer, Berlin
    • Sprache Englisch

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