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Scaling Responsible AI: From Enthusiasm to Execution
In Scaling Responsible From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.
In this groundbreaking book, Noelle Russell reveals an executable framework to harness AI's full potential while safeguarding your firm's reputation; mitigate bias, accuracy, privacy, and cybersecurity risks from the start; make informed choices by seeing through the hype and identifying true AI value; and develop an ethical AI culture across teams and leadership.
Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver.
Implement artificial intelligence that drives profits, innovation, and competitive edge—the responsible way.
In this groundbreaking book, Noelle Russell reveals an executable framework to harness AI's full potential while safeguarding your firm's reputation; mitigate bias, accuracy, privacy, and cybersecurity risks from the start; make informed choices by seeing through the hype and identifying true AI value; and develop an ethical AI culture across teams and leadership.
Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver.
Implement artificial intelligence that drives profits, innovation, and competitive edge—the responsible way.
- GenresArtificial Intelligence
352 pages, Hardcover
Published April 1, 2025
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13 people want to read
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Displaying 1 of 1 review
August 13, 2025
Over 100,000 words of vague extremely high-level buzz word packed corporate word salad. Chapter 10 on model selection and data drift isn’t complete completely useless.
Gemini confirms that there are no real actionable steps in this book, but writes it in the most polite way possible. The Takeaway and reflection sections are only helpful confirmation of how content light this work is.
I’m honestly astonished, because the author has a tremendous amount of real world experience, some of which makes it into the various chapters, but it was apparently written to smart as a subject authority, rather than to help anybody achieve anything?
While I didn’t find anything obviously wrong in the various chapters, that’s mostly because no risks were taken with the content. One side effect of this is that this book does not need any end notes or source references, and does not provide any.
I’m going to go out on a limb here and say that if you personally found this book helpful, that suggests you do not have an active role in any AI related business, except perhaps selling AI consulting services.
Let me also add that a typical LLM could’ve written a better research report on any of these 15 chapter topics
Gemini confirms that there are no real actionable steps in this book, but writes it in the most polite way possible. The Takeaway and reflection sections are only helpful confirmation of how content light this work is.
I’m honestly astonished, because the author has a tremendous amount of real world experience, some of which makes it into the various chapters, but it was apparently written to smart as a subject authority, rather than to help anybody achieve anything?
While I didn’t find anything obviously wrong in the various chapters, that’s mostly because no risks were taken with the content. One side effect of this is that this book does not need any end notes or source references, and does not provide any.
I’m going to go out on a limb here and say that if you personally found this book helpful, that suggests you do not have an active role in any AI related business, except perhaps selling AI consulting services.
Let me also add that a typical LLM could’ve written a better research report on any of these 15 chapter topics
Displaying 1 of 1 review