Challenges in large language model development and AI ethics:
The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdle...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
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| Schlagworte: | |
| Online-Zugang: | DE-91 Volltext |
| Zusammenfassung: | The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists. |
| Beschreibung: | 1 Online-Ressource (527 Seiten) |
| DOI: | 10.4018/979-8-3693-3860-5 |
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| spelling | Challenges in large language model development and AI ethics Brij Gupta, editor Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (527 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series The development of large language models has resulted in artificial intelligence advancements promising transformations and benefits across various industries and sectors. However, this progress is not without its challenges. The scale and complexity of these models pose significant technical hurdles, including issues related to bias, transparency, and data privacy. As these models integrate into decision-making processes, ethical concerns about their societal impact, such as potential job displacement or harmful stereotype reinforcement, become more urgent. Addressing these challenges requires a collaborative effort from business owners, computer engineers, policymakers, and sociologists. Fostering effective research for solutions to address AI ethical challenges may ensure that large language model developments benefit society in a positive way. Challenges in Large Language Model Development and AI Ethics addresses complex ethical dilemmas and challenges of the development of large language models and artificial intelligence. It analyzes ethical considerations involved in the design and implementation of large language models, while exploring aspects like bias, accountability, privacy, and social impacts. This book covers topics such as law and policy, model architecture, and machine learning, and is a useful resource for computer engineers, sociologists, policymakers, business owners, academicians, researchers, and scientists. Artificial intelligence Moral and ethical aspects Machine learning Moral and ethical aspects Natural language processing (Computer science) Moral and ethical aspects Gupta, Brij 1982- edt Erscheint auch als Druck-Ausgabe 9798369338605 https://doi.org/10.4018/979-8-3693-3860-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Challenges in large language model development and AI ethics Artificial intelligence Moral and ethical aspects Machine learning Moral and ethical aspects Natural language processing (Computer science) Moral and ethical aspects |
| title | Challenges in large language model development and AI ethics |
| title_auth | Challenges in large language model development and AI ethics |
| title_exact_search | Challenges in large language model development and AI ethics |
| title_full | Challenges in large language model development and AI ethics Brij Gupta, editor |
| title_fullStr | Challenges in large language model development and AI ethics Brij Gupta, editor |
| title_full_unstemmed | Challenges in large language model development and AI ethics Brij Gupta, editor |
| title_short | Challenges in large language model development and AI ethics |
| title_sort | challenges in large language model development and ai ethics |
| topic | Artificial intelligence Moral and ethical aspects Machine learning Moral and ethical aspects Natural language processing (Computer science) Moral and ethical aspects |
| topic_facet | Artificial intelligence Moral and ethical aspects Machine learning Moral and ethical aspects Natural language processing (Computer science) Moral and ethical aspects |
| url | https://doi.org/10.4018/979-8-3693-3860-5 |
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