Who this chatper is for: Leader Student & Educator Professional COMMUNITY & FAMILY Author: Elizabeth (Liz) Ngonzi Summary: Elizabeth Ngonzi opens the anthology with Spirals of Intelligence, a visionary framework for co-creating AI systems that amplify human purpose, memory, and exponential impact. Grounded in global experience, her 1+1+AI=10™ equation redefines intelligence as a collaborative force—linking ethical storytelling, applied learning, and cross-sector action. Through frameworks like AMPLIFY™ and SHINE™, she shows how leaders can design AI that not only scales strategy but preserves wisdom and identity through tools like digital twins. Drawing on her work with changemakers across six continents, she offers a blueprint for integrating human and machine intelligence to drive transformation. More than a call for responsible AI, this chapter models how to embed humanity into every layer of design—educationally, organizationally, and globally. As the foundation of Part 1: Ethics, Values, and Governance, it invites readers to view AI not as a threat or tool alone, but as a collaborator in shaping a flourishing future. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Leader COMMUNITY & FAMILY Professional Student & Educator Author: Mitzi Perdue Summary: Mitzi Perdue delivers a powerful call to action at the intersection of ethics, technology, and human rights. Drawing from decades of work in anti-trafficking advocacy and ethical leadership, she argues that artificial intelligence must be designed not just to optimize systems, but to protect the vulnerable. Her chapter outlines how AI can both aid and threaten the global fight against human trafficking—offering examples where machine learning supports rescue efforts, but also where algorithms have enabled exploitation. Perdue calls for intentional ethical safeguards that prioritize dignity, consent, and cross-sector accountability. She positions responsible AI as the next frontier in anti-trafficking work, urging policymakers, technologists, and advocates to co-create tools that liberate rather than harm. Grounded in moral clarity and humanitarian urgency, this chapter anchors the anthology’s values in real-world stakes—reminding readers that the ethical design of AI is not abstract, but a matter of life and freedom. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Leader Student & Educator Professional COMMUNITY & FAMILY Author: Siwei Lyu, PhD Summary: Siwei Lyu addresses one of the most urgent challenges in AI: its potential to distort truth. Centering on the threat of AI-generated deepfakes, Lyu details how synthetic media undermines public trust, spreads misinformation, and erodes democratic decision-making. A pioneer in multimedia forensics, he demystifies the technical landscape of detection methods while issuing a clarion call for stronger governance, interdisciplinary research, and ethical responsibility. Lyu balances scientific rigor with accessible language, outlining practical solutions to combat visual misinformation—from watermarking standards to public education. His chapter is a critical contribution to the anthology’s governance focus, highlighting that in an era of generative deception, truth itself must be safeguarded as infrastructure. With both urgency and clarity, Lyu compels technologists, policymakers, and civil society leaders to act before the erosion of reality becomes irreversible. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Student & Educator COMMUNITY & FAMILY Professional Leader Authors: Dr. Jennifer Rochlis Dr. Cristina Leira Summary: Jennifer Rochlis and Cristina Leira explore the psychological and behavioral feedback loops between humans and artificial intelligence. Through interdisciplinary insight from psychology, systems design, and behavioral science, they illuminate how AI not only reflects human behavior but actively reshapes identity, emotion, and social norms. Their chapter examines how interactions with machines can subtly influence our self-perception, communication styles, and even moral frameworks—posing critical questions about cognitive and ethical agency. Emphasizing the need for psychological awareness in AI development, they call for intentional design that supports mental wellbeing and human flourishing. The authors propose principles of reflective AI: technologies that prompt users to think critically, remain emotionally grounded, and sustain authentic connection. A standout contribution to the anthology, this chapter deepens our understanding of how AI molds the inner life—not just external systems—and why ethical intelligence begins within. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Leader Professional Student & Educator COMMUNITY & FAMILY Authors: Daniela Muhaj Jayeeta Putatunda Summary: Daniela Muhaj and Jayeeta Putatunda introduce Responsible Evaluation by Design (REvD), a comprehensive framework that expands how we assess AI systems. Challenging conventional metrics of efficiency and performance, they propose a model that centers ethics, equity, and ecological sustainability. REvD guides practitioners through a multi-step process of aligning values across the AI lifecycle—from design and development to deployment and governance. Drawing on insights from economics, data science, and sustainability, the chapter addresses structural power imbalances and proposes new indicators of social impact. Muhaj and Putatunda emphasize inclusive stakeholder engagement and interdisciplinary collaboration as foundations for trust. Their framework is not theoretical; it is designed for immediate adoption by organizations committed to responsible AI. With clarity and purpose, this chapter equips decision-makers to transform evaluation itself into a force for equity, dignity, and long-term resilience. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Leader Professional Student & Educator COMMUNITY & FAMILY Authors: Amanda C. Molina Jamison Rotz Summary: Amanda Molina and Jamison Rotz chart a pragmatic course for responsible AI governance. Bridging public and private sector perspectives, they argue that transparency and accountability must be designed into AI systems—not added retroactively. The chapter highlights key mechanisms for oversight, from ethical audits and compliance frameworks to cross-sector governance partnerships. Drawing on their experiences in enterprise technology and nonprofit leadership, the authors emphasize that real governance requires cultural as well as technical change. With clarity and practicality, they address challenges like regulatory fragmentation, opaque decision-making, and organizational inertia. Their governance roadmap is grounded in shared values and civic responsibility, not just risk management. By aligning governance frameworks with human-centered principles, this chapter advances the anthology’s mission of AI that serves not only efficiency—but trust, justice, and collective flourishing. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Professional Leader Student & Educator COMMUNITY & FAMILY Authors: Jeff Pedowitz Matthew Guggemos Summary: Jeff Pedowitz and Matthew Guggemos argue that in a world of data saturation and increasing digital risk, trust is the ultimate differentiator. Their chapter reframes privacy, security, and ethics not as compliance burdens, but as competitive advantages in a rapidly evolving marketplace. Drawing from marketing, cybersecurity, and organizational strategy, they demonstrate how AI systems designed with transparency and integrity foster customer loyalty, brand resilience, and long-term growth. Pedowitz and Guggemos introduce a trust-centric innovation model that integrates governance, user consent, and stakeholder accountability from the outset. Citing real-world business cases, they show that organizations who prioritize ethical AI are not only mitigating risk—they’re unlocking market leadership. Grounded in the anthology’s vision of dignity and systemic alignment, this chapter offers a strategic, forward-looking approach to building AI that earns and sustains public trust. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Professional Leader Student & Educator COMMUNITY & FAMILY Author: Sarah Chardonnens, PhD Summary: Sarah Chardonnens explores how startups can embed ethical design and purpose-driven leadership at the core of artificial intelligence development. Drawing from her experience in early-stage innovation and social impact strategy, she argues that startups hold unique power—and responsibility—to shape AI’s moral foundation before it scales. The chapter outlines a framework for integrating ethics into product design, data governance, and organizational culture, emphasizing values such as transparency, inclusivity, and accountability. Through real-world examples, Sarah illustrates how founders can transform ethics from a compliance exercise into a source of competitive advantage and trust. She challenges entrepreneurs to view responsible AI not as a constraint but as a catalyst for creativity and long-term success. Grounded in both moral philosophy and practical application, her contribution bridges innovation and ethics—helping emerging ventures build AI that serves humanity with integrity and impact. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Community & Family Professional Leader Student & Educator Author: Dr. Sherry McAllister Summary: Dr. Sherry McCallister presents a compelling case for “Adjusted Intelligence,” a framework that aligns AI development with holistic human wellbeing. Drawing from her background in chiropractic medicine, integrative health, and global advocacy, she argues that truly ethical AI must go beyond data optimization to support the full spectrum of human flourishing—physical, emotional, cognitive, and spiritual. Her chapter challenges technologists to embed principles of vitality, prevention, and interconnectedness into machine design, making a bold interdisciplinary link between biological alignment and algorithmic alignment. McCallister introduces real-world scenarios where AI can empower health resilience, restore autonomy, and amplify care—especially for underserved populations. She calls on global stakeholders to adopt a “whole-being” approach, reminding readers that intelligence, human or artificial, is most powerful when in service of life itself. Her contribution expands the anthology’s ethical vision, urging a paradigm shift from mechanical efficiency to human-centered design rooted in dignity, vitality, and purpose. Chapter coming soon → This chapter will be released as the anthology continues to evolve.