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Table des matières
.- 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.
Résumé
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 14–16, 2025.
The AIR-RES Conference received 620 submissions, of which 131 papers were accepted, resulting in a paper acceptance rate of 21%.
