Trustworthy AI : a business guide for navigating trust and ethics in AI
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Format
Edition
First edition.
Language
English
ISBN
9781119867951, 1119867959, 9781119867968, 1119867967
Notes
General Note
Includes index.
Bibliography
Includes bibliographical references and index.
Description
"Artificial intelligence (AI) is increasingly a business imperative. As AI tools propagate across nearly every industry and sector, so too do myriad ethical risks. Bias and discrimination, reputation damage and regulatory consequences, novel solutions delivering poor results that impact the bottom line--these and many other consequences can emerge from AI that falls short of ethical design, development, deployment, and use. Succeeding with AI solutions and systems requires trust in the tools and their outputs, and for AI to reach its full potential, the ethics involved must be addressed upfront. While business leaders are aware of the ethical concerns AI can prompt, less clear are the qualities of ethical AI and how to enable them across the business and in the marketplace. Indeed, while there is a lot of talk around AI ethics, there is no playbook on how to design or build it. Trustworthy AI cuts through philosophical and theoretical discussions to deliver clarity on AI ethics, its components, and how to design and implement ethical principles relevant to the organization. Readers are guided through an exploration of the pitfalls and priorities in ethical AI, exemplified with the latest research, known and potential incidences of harm due to AI, and the best practices that can help executives and data scientists alike develop trustworthy AI for business benefit. Relevant to any enterprise building and using AI, Trustworthy AI helps refine what AI ethics means for the organization in a practical way. Readers will become equipped with: Essential insight into building and implementing an ethical AI strategy; Caution areas and priorities for business leaders and other professionals working on AI initiatives; Driving ethical AI thinking and planning across the entire organization; and Operationalizing AI ethics within your organization"--,Provided by publisher.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Ammanath, B. (2022). Trustworthy AI: a business guide for navigating trust and ethics in AI (First edition.). Wiley.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Ammanath, Beena. 2022. Trustworthy AI: A Business Guide for Navigating Trust and Ethics in AI. Hoboken, NJ: Wiley.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Ammanath, Beena. Trustworthy AI: A Business Guide for Navigating Trust and Ethics in AI Hoboken, NJ: Wiley, 2022.
Harvard Citation (style guide)Ammanath, B. (2022). Trustworthy AI: a business guide for navigating trust and ethics in AI. First edn. Hoboken, NJ: Wiley.
MLA Citation, 9th Edition (style guide)Ammanath, Beena. Trustworthy AI: A Business Guide for Navigating Trust and Ethics in AI First edition., Wiley, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
a2c0e288-8431-b208-a863-982a5de9ebb2-eng
Grouping Information
| Grouped Work ID | a2c0e288-8431-b208-a863-982a5de9ebb2-eng |
|---|---|
| Full title | trustworthy ai a business guide for navigating trust and ethics in ai |
| Author | ammanath beena |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-02-07 03:23:38AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Jan 18, 2024 |
| Last Used | Feb 3, 2025 |
Marc Record
| First Detected | Mar 14, 2023 08:40:14 AM |
|---|---|
| Last File Modification Time | Dec 17, 2024 08:20:51 AM |
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| 100 | 1 | |a Ammanath, Beena,|e author. | |
| 245 | 1 | 0 | |a Trustworthy AI :|b a business guide for navigating trust and ethics in AI /|c by Beena Ammanath. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Hoboken, NJ :|b Wiley,|c [2022] | |
| 300 | |a 1 online resource | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a A primer on modern AI -- Fair and impartial -- Robust and reliable -- Transparent -- Explainable -- Secure -- Safe -- Privacy -- Accountable -- Responsible -- Trustworthy AI in practice -- Looking forward. | |
| 520 | |a "Artificial intelligence (AI) is increasingly a business imperative. As AI tools propagate across nearly every industry and sector, so too do myriad ethical risks. Bias and discrimination, reputation damage and regulatory consequences, novel solutions delivering poor results that impact the bottom line--these and many other consequences can emerge from AI that falls short of ethical design, development, deployment, and use. Succeeding with AI solutions and systems requires trust in the tools and their outputs, and for AI to reach its full potential, the ethics involved must be addressed upfront. While business leaders are aware of the ethical concerns AI can prompt, less clear are the qualities of ethical AI and how to enable them across the business and in the marketplace. Indeed, while there is a lot of talk around AI ethics, there is no playbook on how to design or build it. Trustworthy AI cuts through philosophical and theoretical discussions to deliver clarity on AI ethics, its components, and how to design and implement ethical principles relevant to the organization. Readers are guided through an exploration of the pitfalls and priorities in ethical AI, exemplified with the latest research, known and potential incidences of harm due to AI, and the best practices that can help executives and data scientists alike develop trustworthy AI for business benefit. Relevant to any enterprise building and using AI, Trustworthy AI helps refine what AI ethics means for the organization in a practical way. Readers will become equipped with: Essential insight into building and implementing an ethical AI strategy; Caution areas and priorities for business leaders and other professionals working on AI initiatives; Driving ethical AI thinking and planning across the entire organization; and Operationalizing AI ethics within your organization"--|c Provided by publisher. | ||
| 588 | |a Description based on print version record and CIP data provided by publisher; resource not viewed. | ||
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Artificial intelligence|x Moral and ethical aspects. | |
| 776 | 0 | 8 | |i Print version:|a Ammanath, Beena.|t Trustworthy AI|b First edition.|d Hoboken, NJ : Wiley, [2022]|z 9781119867920|w (DLC) 2022007691 |
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