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Ethical by Design - Creating AI Systems that Feel, Think, and Respect
This book is structured to guide the reader step-by-step through the emotionally intelligent and ethically responsible landscape of AI.
About the Author
Prof. Dr. Rajkumar Deshpande is an acclaimed academician, researcher, and thought leader in Artificial Intelligence, Ethics, and Human-Centered Design. With over two decades of experience in engineering education, innovation leadership, and AI integration in real-world applications, he serves as the Dean, Faculty of Science and Technology at JSPM University, Pune.
A prolific author with multiple bestselling books on AI, ChatGPT, and digital transformation, Dr. Deshpande is known for making complex technologies accessible, responsible, and ethically aligned. His work blends technological foresight with moral responsibility, empowering readers to shape an intelligent yet humane digital future.
We begin with The Rise of Emotional Machines , exploring how modern AI systems are evolving beyond logic to recognize and respond to human emotions, marking a new frontier in human–machine interaction.
From there, we transition into Ethics by Default , where we emphasize the critical importance of embedding ethical principles into AI systems right from their inception—not as an afterthought, but as a foundational design choice.
To further this idea, Human-Centered AI Design Framework introduces models and methodologies that prioritize human dignity, values, and needs at every stage of AI development.
Naturally, trust becomes the next key concern. Designing for Trust and Transparency highlights the importance of building explainable, understandable, and honest AI systems that users can genuinely rely on.
In Emotional Intelligence in AI , we dive into how machines are being trained to simulate empathy, and what that means for relationships, communication, and user well-being.
We then explore The Ethics of Persuasive Design , a chapter that dissects how AI influences decisions—and when that influence crosses into manipulation, especially in emotional contexts.
Following that, Diversity, Inclusion, and Bias in Emotional AI uncovers how biased datasets and design assumptions can marginalize certain groups, and why inclusivity must be built into emotion-aware systems.
We then shift focus to the creators behind the code in Building Ethical AI Teams , where we discuss the power of multidisciplinary collaboration and shared ethical responsibility.
No ethical design can be complete without validation. Testing and Auditing Emotion-Aware Systems offers frameworks and tools to assess AI’s emotional accuracy, fairness, and real-world impact.
Looking forward, The Future of Emotionally Ethical Design speculates on what’s next—exploring upcoming trends, challenges, and the shifting balance between emotion, ethics, and autonomy in AI.
To support practical implementation, Designing Emotionally Ethical AI – The Complete Checklist serves as a comprehensive guide for individuals and teams committed to doing AI the right way.
We then examine real-world consequences in Ethically Aligned AI in Healthcare , focusing on the high-stakes nature of applying emotional AI in medical setting
About the Author
Prof. Dr. Rajkumar Deshpande is an acclaimed academician, researcher, and thought leader in Artificial Intelligence, Ethics, and Human-Centered Design. With over two decades of experience in engineering education, innovation leadership, and AI integration in real-world applications, he serves as the Dean, Faculty of Science and Technology at JSPM University, Pune.
A prolific author with multiple bestselling books on AI, ChatGPT, and digital transformation, Dr. Deshpande is known for making complex technologies accessible, responsible, and ethically aligned. His work blends technological foresight with moral responsibility, empowering readers to shape an intelligent yet humane digital future.
We begin with The Rise of Emotional Machines , exploring how modern AI systems are evolving beyond logic to recognize and respond to human emotions, marking a new frontier in human–machine interaction.
From there, we transition into Ethics by Default , where we emphasize the critical importance of embedding ethical principles into AI systems right from their inception—not as an afterthought, but as a foundational design choice.
To further this idea, Human-Centered AI Design Framework introduces models and methodologies that prioritize human dignity, values, and needs at every stage of AI development.
Naturally, trust becomes the next key concern. Designing for Trust and Transparency highlights the importance of building explainable, understandable, and honest AI systems that users can genuinely rely on.
In Emotional Intelligence in AI , we dive into how machines are being trained to simulate empathy, and what that means for relationships, communication, and user well-being.
We then explore The Ethics of Persuasive Design , a chapter that dissects how AI influences decisions—and when that influence crosses into manipulation, especially in emotional contexts.
Following that, Diversity, Inclusion, and Bias in Emotional AI uncovers how biased datasets and design assumptions can marginalize certain groups, and why inclusivity must be built into emotion-aware systems.
We then shift focus to the creators behind the code in Building Ethical AI Teams , where we discuss the power of multidisciplinary collaboration and shared ethical responsibility.
No ethical design can be complete without validation. Testing and Auditing Emotion-Aware Systems offers frameworks and tools to assess AI’s emotional accuracy, fairness, and real-world impact.
Looking forward, The Future of Emotionally Ethical Design speculates on what’s next—exploring upcoming trends, challenges, and the shifting balance between emotion, ethics, and autonomy in AI.
To support practical implementation, Designing Emotionally Ethical AI – The Complete Checklist serves as a comprehensive guide for individuals and teams committed to doing AI the right way.
We then examine real-world consequences in Ethically Aligned AI in Healthcare , focusing on the high-stakes nature of applying emotional AI in medical setting
122 pages, Kindle Edition
Published April 11, 2025
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