Risks and challenges of AI-driven finance: bias, ethics, and security
"We present the edited book volume "Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security," and offers scholarly discussion on the various dimensions of AI integration in corporate finance, specifically the risks and challenges due to bias, ethics and security issues....
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2024]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "We present the edited book volume "Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security," and offers scholarly discussion on the various dimensions of AI integration in corporate finance, specifically the risks and challenges due to bias, ethics and security issues. We believe that the discussions on AI in corporate finance should be promoted among academicians, scholars, industry experts, government and regulatory authorities to reap the benefits of AI, at the same time manage the various challenges and bias resulting from the integration of AI in corporate finance"-- |
| Physical Description: | 21 PDFs (391 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369321867 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Risks and challenges of AI-driven finance |b bias, ethics, and security |c edited by Siraj Kariyilaparambhu Kunjumuhammed, Hisham Madi, Mahmoud Abouraia. |
| 246 | 3 | |a Risks and challenges of artificial intelligence-drive finance | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2024] | |
| 300 | |a 21 PDFs (391 Seiten) | ||
| 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. Adoption of artificial intelligence in corporate finance: addressing bias and ethical considerations -- Chapter 2. Artificial intelligence in finance: navigating opportunities and risks -- Chapter 3. The rise and rise of artificial intelligence in the world of finance -- Chapter 4. Enhancing business intelligence through AI-driven integration of sustainability metrics via ESG factors -- Chapter 5. Role of artificial intelligence and machine learning in fraud detection and prevention -- Chapter 6. Robo-advisors in investment management -- Chapter 7. Artificial intelligence in addressing educational inequality dimensions in higher education institutions (heis): a critical review -- Chapter 8. Are robo-advisors revolutionizing portfolio management for enhanced returns over human advisors? -- Chapter 9. Advancements in ransomware detection and prevention techniques -- Chapter 10. Adoption to digital banking services detection of frauds and preventive action by banks -- Chapter 11. Role of formal restructuring in post-bankruptcy performance of companies: case study from India -- Chapter 12. Ethical considerations in AI applications in finance: frameworks, transparency, accountability, and case studies -- Chapter 13. AI-powered hospital accounting: towards sound financial management. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "We present the edited book volume "Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security," and offers scholarly discussion on the various dimensions of AI integration in corporate finance, specifically the risks and challenges due to bias, ethics and security issues. We believe that the discussions on AI in corporate finance should be promoted among academicians, scholars, industry experts, government and regulatory authorities to reap the benefits of AI, at the same time manage the various challenges and bias resulting from the integration of AI in corporate finance"-- |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 08/13/2024). | ||
| 650 | 0 | |a Corporations |x Finance. | |
| 650 | 0 | |a Finance |x Data processing. | |
| 653 | |a Accountability of Responsibility. | ||
| 653 | |a Bias in AI-Driven Finance. | ||
| 653 | |a Case Studies in Security Breaches. | ||
| 653 | |a Cybersecurity in AI Finance. | ||
| 653 | |a Data Privacy of Protection. | ||
| 653 | |a Ethical Considerations and Dilemmas. | ||
| 653 | |a Future Trends of Implications. | ||
| 653 | |a Key AI Technologies in Finance. | ||
| 653 | |a Mitigating Risks of Challenges. | ||
| 653 | |a Regulatory of Compliance Issues. | ||
| 653 | |a Security Challenges. | ||
| 653 | |a Strategies for Bias Mitigation. | ||
| 653 | |a The Role of Regulators of Policymakers. | ||
| 653 | |a Transparency of Explainability. | ||
| 700 | 1 | |a Abouraia, Mahmoud Kamal |d 1977- |e editor. | |
| 700 | 1 | |a Kunjumuhammed, Siraj |d 1978- |e editor. | |
| 700 | 1 | |a Madi, Hisham Kamel |d 1980- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
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| adam_text | |
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| author2 | Abouraia, Mahmoud Kamal 1977- Kunjumuhammed, Siraj 1978- Madi, Hisham Kamel 1980- |
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| author_facet | Abouraia, Mahmoud Kamal 1977- Kunjumuhammed, Siraj 1978- Madi, Hisham Kamel 1980- |
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| contents | Chapter 1. Adoption of artificial intelligence in corporate finance: addressing bias and ethical considerations -- Chapter 2. Artificial intelligence in finance: navigating opportunities and risks -- Chapter 3. The rise and rise of artificial intelligence in the world of finance -- Chapter 4. Enhancing business intelligence through AI-driven integration of sustainability metrics via ESG factors -- Chapter 5. Role of artificial intelligence and machine learning in fraud detection and prevention -- Chapter 6. Robo-advisors in investment management -- Chapter 7. Artificial intelligence in addressing educational inequality dimensions in higher education institutions (heis): a critical review -- Chapter 8. Are robo-advisors revolutionizing portfolio management for enhanced returns over human advisors? -- Chapter 9. Advancements in ransomware detection and prevention techniques -- Chapter 10. Adoption to digital banking services detection of frauds and preventive action by banks -- Chapter 11. Role of formal restructuring in post-bankruptcy performance of companies: case study from India -- Chapter 12. Ethical considerations in AI applications in finance: frameworks, transparency, accountability, and case studies -- Chapter 13. AI-powered hospital accounting: towards sound financial management. |
| ctrlnum | (CaBNVSL)slc00006549 (OCoLC)1452677351 |
| dewey-full | 658.15 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.15 |
| dewey-search | 658.15 |
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| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00331804 |
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| indexdate | 2025-03-18T14:30:37Z |
| institution | BVB |
| isbn | 9798369321867 |
| language | English |
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| physical | 21 PDFs (391 Seiten) Also available in print. |
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| spelling | Risks and challenges of AI-driven finance bias, ethics, and security edited by Siraj Kariyilaparambhu Kunjumuhammed, Hisham Madi, Mahmoud Abouraia. Risks and challenges of artificial intelligence-drive finance Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2024] 21 PDFs (391 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Adoption of artificial intelligence in corporate finance: addressing bias and ethical considerations -- Chapter 2. Artificial intelligence in finance: navigating opportunities and risks -- Chapter 3. The rise and rise of artificial intelligence in the world of finance -- Chapter 4. Enhancing business intelligence through AI-driven integration of sustainability metrics via ESG factors -- Chapter 5. Role of artificial intelligence and machine learning in fraud detection and prevention -- Chapter 6. Robo-advisors in investment management -- Chapter 7. Artificial intelligence in addressing educational inequality dimensions in higher education institutions (heis): a critical review -- Chapter 8. Are robo-advisors revolutionizing portfolio management for enhanced returns over human advisors? -- Chapter 9. Advancements in ransomware detection and prevention techniques -- Chapter 10. Adoption to digital banking services detection of frauds and preventive action by banks -- Chapter 11. Role of formal restructuring in post-bankruptcy performance of companies: case study from India -- Chapter 12. Ethical considerations in AI applications in finance: frameworks, transparency, accountability, and case studies -- Chapter 13. AI-powered hospital accounting: towards sound financial management. Restricted to subscribers or individual electronic text purchasers. "We present the edited book volume "Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security," and offers scholarly discussion on the various dimensions of AI integration in corporate finance, specifically the risks and challenges due to bias, ethics and security issues. We believe that the discussions on AI in corporate finance should be promoted among academicians, scholars, industry experts, government and regulatory authorities to reap the benefits of AI, at the same time manage the various challenges and bias resulting from the integration of AI in corporate finance"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/13/2024). Corporations Finance. Finance Data processing. Accountability of Responsibility. Bias in AI-Driven Finance. Case Studies in Security Breaches. Cybersecurity in AI Finance. Data Privacy of Protection. Ethical Considerations and Dilemmas. Future Trends of Implications. Key AI Technologies in Finance. Mitigating Risks of Challenges. Regulatory of Compliance Issues. Security Challenges. Strategies for Bias Mitigation. The Role of Regulators of Policymakers. Transparency of Explainability. Abouraia, Mahmoud Kamal 1977- editor. Kunjumuhammed, Siraj 1978- editor. Madi, Hisham Kamel 1980- editor. IGI Global, publisher. (Original) (DLC)2024036480 Print version: 9798369321850 (DLC) 2024036480 |
| spellingShingle | Risks and challenges of AI-driven finance bias, ethics, and security Chapter 1. Adoption of artificial intelligence in corporate finance: addressing bias and ethical considerations -- Chapter 2. Artificial intelligence in finance: navigating opportunities and risks -- Chapter 3. The rise and rise of artificial intelligence in the world of finance -- Chapter 4. Enhancing business intelligence through AI-driven integration of sustainability metrics via ESG factors -- Chapter 5. Role of artificial intelligence and machine learning in fraud detection and prevention -- Chapter 6. Robo-advisors in investment management -- Chapter 7. Artificial intelligence in addressing educational inequality dimensions in higher education institutions (heis): a critical review -- Chapter 8. Are robo-advisors revolutionizing portfolio management for enhanced returns over human advisors? -- Chapter 9. Advancements in ransomware detection and prevention techniques -- Chapter 10. Adoption to digital banking services detection of frauds and preventive action by banks -- Chapter 11. Role of formal restructuring in post-bankruptcy performance of companies: case study from India -- Chapter 12. Ethical considerations in AI applications in finance: frameworks, transparency, accountability, and case studies -- Chapter 13. AI-powered hospital accounting: towards sound financial management. Corporations Finance. Finance Data processing. |
| title | Risks and challenges of AI-driven finance bias, ethics, and security |
| title_alt | Risks and challenges of artificial intelligence-drive finance |
| title_auth | Risks and challenges of AI-driven finance bias, ethics, and security |
| title_exact_search | Risks and challenges of AI-driven finance bias, ethics, and security |
| title_full | Risks and challenges of AI-driven finance bias, ethics, and security edited by Siraj Kariyilaparambhu Kunjumuhammed, Hisham Madi, Mahmoud Abouraia. |
| title_fullStr | Risks and challenges of AI-driven finance bias, ethics, and security edited by Siraj Kariyilaparambhu Kunjumuhammed, Hisham Madi, Mahmoud Abouraia. |
| title_full_unstemmed | Risks and challenges of AI-driven finance bias, ethics, and security edited by Siraj Kariyilaparambhu Kunjumuhammed, Hisham Madi, Mahmoud Abouraia. |
| title_short | Risks and challenges of AI-driven finance |
| title_sort | risks and challenges of ai driven finance bias ethics and security |
| title_sub | bias, ethics, and security |
| topic | Corporations Finance. Finance Data processing. |
| topic_facet | Corporations Finance. Finance Data processing. |
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