The ethical frontier of AI and data analysis:
"In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, dat...
Gespeichert in:
| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation.Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially."-- |
| Beschreibung: | 29 PDFs (456 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369329658 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 4 | |a The ethical frontier of AI and data analysis |c Rajeev Kumar, Ankush Joshi, Hari Om Sharan, Sheng-Lung Peng, Chetan R. Dudhagara, editors. |
| 246 | 3 | |a ethical frontier of artificial intelligence and data analysis | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 29 PDFs (456 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Advanced technologies in clinical research and drug development -- Chapter 2. AI in education: ethical challenges and opportunities -- Chapter 3. AI in education: ethical challenges and opportunities -- Chapter 4. An inquiry into the obstacles hindering the widespread use of artificial intelligence in environmental, social, and governance practices -- Chapter 5. Artificial intelligence at the helm: steering the modern business landscape toward progress -- Chapter 6. Artificial intelligence-powered political advertising: harnessing data-driven insights for campaign strategies -- Chapter 7. Brain tumor detection from MRI images using deep learning techniques -- Chapter 8. Data privacy and e-consent in the public sector -- Chapter 9. Ensuring privacy and security in machine learning: a novel approach to efficient data removal -- Chapter 10. Ethical considerations in AI development -- Chapter 11. Exploring the ethical implications of generative AI in healthcare -- Chapter 12. Guardians of the algorithm: human oversight in the ethical evolution of AI and data analysis -- Chapter 13. Investigation into the use of IoT technology and machine learning for the identification of crop diseases -- Chapter 14. Narrating spatial data with responsibility: balancing ethics and decision making -- Chapter 15. Revolution ethics of data science and AI -- Chapter 16. Security analysis of the cyber crime -- Chapter 17. Structural systems powered by AI and machine learning technologies -- Chapter 18. The evolution of AI and data science -- Chapter 19. The impact of 5g on the future development of the healthcare industry -- Chapter 20. The impact of data science and participated geographic metadata on improving government service deliveries: prospects and obstacles -- Chapter 21. The proposed framework of view-dependent data integration architecture -- Chapter 22. Toward a more ethical future of artificial intelligence and data science. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation.Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 03/08/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Quantitative research. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Dudhagara, Chetan R., |e editor. | |
| 700 | 1 | |a Joshi, Ankush, |e editor. | |
| 700 | 1 | |a Kumar, Rajeev, |e editor. | |
| 700 | 1 | |a Peng, Sheng-Lung, |e editor. | |
| 700 | 1 | |a Sharan, Hari Om, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| author2 | Dudhagara, Chetan R. Joshi, Ankush Kumar, Rajeev Peng, Sheng-Lung Sharan, Hari Om |
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| author_facet | Dudhagara, Chetan R. Joshi, Ankush Kumar, Rajeev Peng, Sheng-Lung Sharan, Hari Om |
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| contents | Chapter 1. Advanced technologies in clinical research and drug development -- Chapter 2. AI in education: ethical challenges and opportunities -- Chapter 3. AI in education: ethical challenges and opportunities -- Chapter 4. An inquiry into the obstacles hindering the widespread use of artificial intelligence in environmental, social, and governance practices -- Chapter 5. Artificial intelligence at the helm: steering the modern business landscape toward progress -- Chapter 6. Artificial intelligence-powered political advertising: harnessing data-driven insights for campaign strategies -- Chapter 7. Brain tumor detection from MRI images using deep learning techniques -- Chapter 8. Data privacy and e-consent in the public sector -- Chapter 9. Ensuring privacy and security in machine learning: a novel approach to efficient data removal -- Chapter 10. Ethical considerations in AI development -- Chapter 11. Exploring the ethical implications of generative AI in healthcare -- Chapter 12. Guardians of the algorithm: human oversight in the ethical evolution of AI and data analysis -- Chapter 13. Investigation into the use of IoT technology and machine learning for the identification of crop diseases -- Chapter 14. Narrating spatial data with responsibility: balancing ethics and decision making -- Chapter 15. Revolution ethics of data science and AI -- Chapter 16. Security analysis of the cyber crime -- Chapter 17. Structural systems powered by AI and machine learning technologies -- Chapter 18. The evolution of AI and data science -- Chapter 19. The impact of 5g on the future development of the healthcare industry -- Chapter 20. The impact of data science and participated geographic metadata on improving government service deliveries: prospects and obstacles -- Chapter 21. The proposed framework of view-dependent data integration architecture -- Chapter 22. Toward a more ethical future of artificial intelligence and data science. |
| ctrlnum | (CaBNVSL)slc00005668 (OCoLC)1425976321 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | The ethical frontier of AI and data analysis Rajeev Kumar, Ankush Joshi, Hari Om Sharan, Sheng-Lung Peng, Chetan R. Dudhagara, editors. ethical frontier of artificial intelligence and data analysis Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 29 PDFs (456 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Advanced technologies in clinical research and drug development -- Chapter 2. AI in education: ethical challenges and opportunities -- Chapter 3. AI in education: ethical challenges and opportunities -- Chapter 4. An inquiry into the obstacles hindering the widespread use of artificial intelligence in environmental, social, and governance practices -- Chapter 5. Artificial intelligence at the helm: steering the modern business landscape toward progress -- Chapter 6. Artificial intelligence-powered political advertising: harnessing data-driven insights for campaign strategies -- Chapter 7. Brain tumor detection from MRI images using deep learning techniques -- Chapter 8. Data privacy and e-consent in the public sector -- Chapter 9. Ensuring privacy and security in machine learning: a novel approach to efficient data removal -- Chapter 10. Ethical considerations in AI development -- Chapter 11. Exploring the ethical implications of generative AI in healthcare -- Chapter 12. Guardians of the algorithm: human oversight in the ethical evolution of AI and data analysis -- Chapter 13. Investigation into the use of IoT technology and machine learning for the identification of crop diseases -- Chapter 14. Narrating spatial data with responsibility: balancing ethics and decision making -- Chapter 15. Revolution ethics of data science and AI -- Chapter 16. Security analysis of the cyber crime -- Chapter 17. Structural systems powered by AI and machine learning technologies -- Chapter 18. The evolution of AI and data science -- Chapter 19. The impact of 5g on the future development of the healthcare industry -- Chapter 20. The impact of data science and participated geographic metadata on improving government service deliveries: prospects and obstacles -- Chapter 21. The proposed framework of view-dependent data integration architecture -- Chapter 22. Toward a more ethical future of artificial intelligence and data science. Restricted to subscribers or individual electronic text purchasers. "In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation.Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/08/2024). Artificial intelligence. Quantitative research. Electronic books. Dudhagara, Chetan R., editor. Joshi, Ankush, editor. Kumar, Rajeev, editor. Peng, Sheng-Lung, editor. Sharan, Hari Om, editor. IGI Global, publisher. Print version: 9798369329641 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2964-1 Volltext |
| spellingShingle | The ethical frontier of AI and data analysis Chapter 1. Advanced technologies in clinical research and drug development -- Chapter 2. AI in education: ethical challenges and opportunities -- Chapter 3. AI in education: ethical challenges and opportunities -- Chapter 4. An inquiry into the obstacles hindering the widespread use of artificial intelligence in environmental, social, and governance practices -- Chapter 5. Artificial intelligence at the helm: steering the modern business landscape toward progress -- Chapter 6. Artificial intelligence-powered political advertising: harnessing data-driven insights for campaign strategies -- Chapter 7. Brain tumor detection from MRI images using deep learning techniques -- Chapter 8. Data privacy and e-consent in the public sector -- Chapter 9. Ensuring privacy and security in machine learning: a novel approach to efficient data removal -- Chapter 10. Ethical considerations in AI development -- Chapter 11. Exploring the ethical implications of generative AI in healthcare -- Chapter 12. Guardians of the algorithm: human oversight in the ethical evolution of AI and data analysis -- Chapter 13. Investigation into the use of IoT technology and machine learning for the identification of crop diseases -- Chapter 14. Narrating spatial data with responsibility: balancing ethics and decision making -- Chapter 15. Revolution ethics of data science and AI -- Chapter 16. Security analysis of the cyber crime -- Chapter 17. Structural systems powered by AI and machine learning technologies -- Chapter 18. The evolution of AI and data science -- Chapter 19. The impact of 5g on the future development of the healthcare industry -- Chapter 20. The impact of data science and participated geographic metadata on improving government service deliveries: prospects and obstacles -- Chapter 21. The proposed framework of view-dependent data integration architecture -- Chapter 22. Toward a more ethical future of artificial intelligence and data science. Artificial intelligence. Quantitative research. |
| title | The ethical frontier of AI and data analysis |
| title_alt | ethical frontier of artificial intelligence and data analysis |
| title_auth | The ethical frontier of AI and data analysis |
| title_exact_search | The ethical frontier of AI and data analysis |
| title_full | The ethical frontier of AI and data analysis Rajeev Kumar, Ankush Joshi, Hari Om Sharan, Sheng-Lung Peng, Chetan R. Dudhagara, editors. |
| title_fullStr | The ethical frontier of AI and data analysis Rajeev Kumar, Ankush Joshi, Hari Om Sharan, Sheng-Lung Peng, Chetan R. Dudhagara, editors. |
| title_full_unstemmed | The ethical frontier of AI and data analysis Rajeev Kumar, Ankush Joshi, Hari Om Sharan, Sheng-Lung Peng, Chetan R. Dudhagara, editors. |
| title_short | The ethical frontier of AI and data analysis |
| title_sort | ethical frontier of ai and data analysis |
| topic | Artificial intelligence. Quantitative research. |
| topic_facet | Artificial intelligence. Quantitative research. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2964-1 |
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