Scaling Responsible AI (eBook)
354 Seiten
Wiley (Verlag)
978-1-394-28966-0 (ISBN)
Implement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails
Much like a baby tiger in the wild, artificial intelligence is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky.
In Scaling Responsible AI: 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
- 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.
NOELLE RUSSELL has extensive experience at the forefront of artificial intelligence innovation, having worked with companies including Microsoft, IBM, Red Hat, Accenture, AWS, and Amazon Alexa. She has worked across industries and remains a staunch advocate for inclusive AI engineering and data practices. Russell is a top-rated keynote speaker and is an expert on how to harness the power of mindful leadership to inspire others.
Implement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails Much like a baby tiger in the wild, artificial intelligence is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky. In Scaling Responsible AI: 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 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.
| Erscheint lt. Verlag | 19.3.2025 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Schlagworte | ai execution • AI implementation • AI Risk Management • AI Risk Mitigation • AI risks • artificial intelligence risk management • artificial intelligence risks • ethical AI • Ethical Artificial Intelligence • Responsible Artificial Intelligence |
| ISBN-10 | 1-394-28966-9 / 1394289669 |
| ISBN-13 | 978-1-394-28966-0 / 9781394289660 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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