Who this chatper is for: Leader COMMUNITY & FAMILY Student & Educator Professional Author: Paritosh Ambekar, PhD Summary: This chapter highlights the urgent need for equitable and context-sensitive AI regulation in healthcare systems across the Global South. Paritosh Kumar calls for frameworks that bridge the digital divide while safeguarding patient rights, proposing a model that is inclusive, adaptable, and focused on public health outcomes. Drawing on diverse case studies, the chapter emphasizes the risks of importing one-size-fits-all regulatory models and underscores the need for local governance capacity. Kumar argues that to avoid widening disparities, developing nations must proactively shape their own regulatory paths—balancing innovation with ethical safeguards. The chapter aligns with the anthology’s vision of responsible AI by championing equity, cultural sensitivity, and inclusive policymaking as foundational to healthtech development. It is a call to policymakers, multilateral institutions, and AI developers to co-create solutions that respect both global ethical standards and local realities. 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: Michael Carey Summary: Michael Carey presents a sweeping analysis of how existing intellectual property (IP) frameworks are straining under the weight of AI-generated content and innovation. With clarity and legal precision, the chapter explores AI’s impact on trade secrets, copyright, patents, and the very notion of authorship. Carey highlights landmark cases and emerging legal tensions—such as the debate over AI as a legal inventor—and argues for urgent reform that balances innovation incentives with public interest. The chapter serves as both a diagnostic and a strategic map for policymakers, legal professionals, and technologists navigating this rapidly evolving field. Aligned with the anthology’s commitment to human-centered AI, Carey urges lawmakers to reimagine IP not as a barrier to progress, but as a tool for equitable innovation governance. It is a timely and authoritative contribution that underscores the need for adaptable, forward-looking legal systems. 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 Author: Zachary Elewitz, PhD, MBA Summary: Zachary Elewitz proposes a visionary approach to regulation by advocating for the use of Agentic AI as a tool for oversight. Drawing lessons from past regulatory failures, such as the Enron scandal, he outlines a four-phase framework in which AI agents evolve from passive detection tools to active participants in preventing unethical behavior. Elewitz emphasizes that AI should not replace human judgment, but rather enhance regulatory effectiveness through transparency, collaboration, and aligned incentives. By integrating Agentic AI into the oversight lifecycle, the chapter presents a compelling model for adaptive governance that is both scalable and ethically grounded. It aligns seamlessly with the anthology’s mission to reimagine AI as a force for societal good. This chapter challenges regulators, technologists, and policymakers to collaborate in designing AI systems that not only monitor behavior, but help uphold the ethical standards that sustain public trust and institutional integrity. 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: Manas Talukdar Summary: Manas Talukdar delivers an interdisciplinary roadmap for workforce transformation in the AI era. The chapter synthesizes use cases from healthcare, finance, and logistics to show how organizations are leveraging AI—and why people must be central to the transition. Talukdar calls for ecosystem-wide alignment across education, corporate training, and government policy, backed by scalable strategies such as stackable credentials and employer-led upskilling. Framing AI adoption as a human capital challenge as much as a technological one, the chapter advocates for equity, inclusion, and lifelong learning. With global examples and actionable models, Talukdar speaks to leaders seeking to prepare their institutions—and their nations—for the future of work. Aligned with the 1+1+AI=10™ methodology, this chapter exemplifies how human potential, when paired with AI, can unlock exponential societal value. It is both a policy vision and an implementation guide. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Leader COMMUNITY & FAMILY Student & Educator Professional Author: Adam Ennamli Summary: Adam Ennamli lays out a strategic and ethical roadmap for how policymakers can shape the future of AI development. Rejecting reactive or laissez-faire approaches, he argues for proactive policy that embeds accountability, transparency, and public benefit into AI systems from the start. Through case examples in healthcare, education, and public service, Ennamli emphasizes the importance of inclusive policymaking that reflects diverse community needs. He offers policy levers such as funding alignment, ethical procurement practices, and inter-agency coordination to ensure responsible innovation. The chapter’s central claim—that ethical AI begins with ethical governance—resonates deeply with the anthology’s core values. Ennamli’s vision calls for public sector leaders to serve as stewards of long-term societal well-being, shaping AI ecosystems that are not only technologically advanced, but also human-centered. His contribution is both a policy blueprint and a moral imperative for governments around the world. 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 Author: Russ Wilcox Summary: Russ Wilcox reframes AI governance by directing attention to a largely overlooked domain: computational infrastructure. He argues that data centers, orchestration platforms, and foundational hardware have become the de facto sites where regulatory values are encoded—long before policies are written. Using a comparative lens, Wilcox examines how the U.S. and China are taking divergent paths in this infrastructural arms race, embedding competing ethical and political logics into the architecture of AI. He warns that once built, infrastructure tends to lock in governance assumptions, making early-stage decisions critically important. This chapter contributes a vital systems-thinking perspective, urging policymakers to look beyond algorithmic fairness and address the material layer of AI deployment. Aligned with the anthology’s focus on long-range, ethical foresight, Wilcox offers a bold and strategic challenge: govern the infrastructure, and you govern the future of AI itself. Chapter coming soon → This chapter will be released as the anthology continues to evolve.

Who this chatper is for: Leader Professional COMMUNITY & FAMILY Student & Educator Author: Shawn N. Olds Summary: Shawn N. Olds presents a strategic, policy-driven response to one of the most pressing consequences of AI acceleration: the growing workforce skills gap. Blending insights from public service, the private sector, and national defense, Olds proposes a framework for lifelong learning rooted in accessible education, modernized credentialing, and robust public-private partnerships. The chapter calls for dynamic, data-driven strategies that prepare individuals—not just industries—for a constantly evolving digital economy. By positioning workforce development as a civic responsibility and economic imperative, Olds echoes the anthology’s central values: inclusive innovation, ethical foresight, and systems-level change. His chapter provides policymakers and institutional leaders with tangible solutions to unlock human potential as AI continues to reshape the labor market. It is a forward-looking guide for building a society that is not only AI-ready, but also human-first. Chapter coming soon → This chapter will be released as the anthology continues to evolve.