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Human-Centered AI

Implementing Ethical Algorithms in Business Digital Ethics for Managers, Making Principled Decisions...

Dr Ben Chuba Nicci Brochard

$41.95   $35.49

Paperback

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English
Crossborderpublishers
08 September 2025
Transform Your Organization's AI Strategy While Building Unshakeable Ethical Foundations
The AI revolution is reshaping business at breakneck speed, but most leaders are flying blind when ethical dilemmas arise. Every algorithm deployment, data collection practice, and automated decision creates potential reputation disasters worth millions.

Corporate executives face an unprecedented challenge: leveraging AI's transformative power while maintaining stakeholder trust and regulatory compliance. Traditional business frameworks crumble under the weight of algorithmic bias, privacy concerns, and transparency demands. The companies that master human-centered AI implementation will dominate their industries, while those that stumble face lawsuits, boycotts, and irreparable brand damage.

This comprehensive guide bridges the gap between cutting-edge technology and principled leadership. You'll master practical frameworks for embedding ethical considerations into every AI initiative, from initial concept through deployment and monitoring. Transform complex philosophical concepts into actionable business strategies that protect your organization while accelerating growth.

Key Dividends:

Risk Mitigation Mastery:

Identify and eliminate algorithmic bias before it threatens your reputation or triggers regulatory action Competitive Advantage:

Build stakeholder trust through transparent, ethical AI practices that differentiate your brand in crowded markets Decision-Making Frameworks:

Apply proven methodologies for navigating complex ethical dilemmas in real-time business scenarios Implementation Blueprints:

Follow step-by-step processes for creating accountability structures and governance protocols that scale

Stop gambling with your organization's future. The regulatory landscape is tightening, consumer awareness is rising, and competitors are already implementing these strategies. Buy this essential roadmap today and position your company as an ethical AI leader before the window of opportunity closes.

Join the ranks of forward-thinking executives who understand that sustainable success requires both technological innovation and unwavering ethical standards.
By:   ,
Imprint:   Crossborderpublishers
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 9mm
Weight:   227g
ISBN:   9781969703003
ISBN 10:   1969703008
Pages:   162
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Reviews for Human-Centered AI: Implementing Ethical Algorithms in Business Digital Ethics for Managers, Making Principled Decisions in a Data-Driven World

5.0 out of 5 stars Reviewed in the United States This book opens up new conversations parallel to the development of technology. It has helped me personally to reflect on content production, and as a teacher to think of ways to analyze with my students the possibilities and limitations of AI content generation and information privacy. 5.0 out of 5 stars Reviewed in the United States ""HUMAN-CENTERED AI"" is an exceptional guide that bridges the critical gap between technological innovation and ethical responsibility in today's business landscape. The authors provide practical frameworks that managers can immediately implement to ensure their AI initiatives serve human interests while driving business value. This book should be mandatory reading for any executive navigating the complex intersection of technology, ethics, and corporate decision-making. 5.0 out of 5 stars Reviewed in the United States As someone working in data science, I found this book to be a refreshing take on how we can build AI systems that truly prioritize human welfare without sacrificing performance or efficiency. The step-by-step approach to implementing ethical algorithms makes complex concepts accessible to both technical teams and business stakeholders. The real-world case studies and decision-making frameworks provided invaluable insights that I've already begun incorporating into my own projects.


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