AI Revolution: Research, Ethics and Society
Springer International Publishing (Verlag)
978-3-032-12312-1 (ISBN)
- Noch nicht erschienen - erscheint am 20.01.2026
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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%.
.- 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.
| Erscheint lt. Verlag | 20.1.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XVII, 515 p. 124 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | AI applications • AI bias • AI ethics • Artificial Intelligence • Deep learning • keyword 1 • keyword 2 • keyword 3 • keyword 4 • keyword 5 • LLMS • machine learning • Neural networks • prediction methods • Software Tools |
| ISBN-10 | 3-032-12312-7 / 3032123127 |
| ISBN-13 | 978-3-032-12312-1 / 9783032123121 |
| Zustand | Neuware |
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