AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part I / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh

• Autore: Arabnia Hamid R
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (701 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Data protection; Software engineering; Application software; Image processing - Digital techniques; Computer vision; Business - Data processing; Artificial Intelligence; Data and Information Security; Software Engineering; Computer and Information Systems Applications; Computer Imaging, Vision, Pattern Recognition and Graphics; Business Informatics
• Altri autori: DeligiannidisLeonidas AmirianSoheyla Ghareh MohammadiFarid ShenavarmasoulehFarzan
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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%. .
• Titolo autorizzato: AI Revolution: Research, Ethics and Society
• ISBN: 3-032-12313-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911049156803321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2721