Cross-industry AI applications:
The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that th...
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| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis.This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike. |
| Beschreibung: | 1 Online-Ressource (389 Seiten) |
| ISBN: | 9798369359532 |
| DOI: | 10.4018/979-8-3693-5951-8 |
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| id | DE-604.BV049817781 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:35Z |
| institution | BVB |
| isbn | 9798369359532 |
| language | English |
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| physical | 1 Online-Ressource (389 Seiten) |
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| spelling | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors Cross-industry artificial intelligence applications Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (389 Seiten) txt rdacontent c rdamedia cr rdacarrier The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis.This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike. Artificial intelligence Chinnusamy, Karthikeyan edt Joseph, Ferdin Joe John edt Paramasivan, P. edt Rajest, S. Suman edt Regin, R. edt Erscheint auch als Druck-Ausgabe 9798369359518 https://doi.org/10.4018/979-8-3693-5951-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Cross-industry AI applications Artificial intelligence |
| title | Cross-industry AI applications |
| title_alt | Cross-industry artificial intelligence applications |
| title_auth | Cross-industry AI applications |
| title_exact_search | Cross-industry AI applications |
| title_full | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors |
| title_fullStr | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors |
| title_full_unstemmed | Cross-industry AI applications P. Paramasivan, S. Suman Rajest, Karthikeyan Chinnusamy, R. Regin, Ferdin Joe John Joseph, editors |
| title_short | Cross-industry AI applications |
| title_sort | cross industry ai applications |
| topic | Artificial intelligence |
| topic_facet | Artificial intelligence |
| url | https://doi.org/10.4018/979-8-3693-5951-8 |
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