Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem: Chapter 7 - Our common home: artificial intelligence + global public health ecosystem

Chapter 7 unites the different dimensions explored in each of the earlier chapters into a cohesive whole to understand the artificial intelligence (AI)-powered global public health ecosystem as humanity’s common home: its decentralized organic design (financing and integral sustainable development), framework (data architecture and political economics), inhabitants (culture and demographics), and foundation (ethics and human security balancing national security). It summarizes the key findings for these domains from the earlier chapters while highlighting emblematic AI case uses. It considers financing advances, including in universal health coverage, public–private partnerships, digital global health diplomacy, finance tracking, and value-based health. This chapter moves on to integral sustainable development advances, including in AI for the sustainable development goals, precision agriculture, climate change, affordable clean energy, equity, and generative AI (including ChatGPT). It then considers data architecture advances, including in the United Kingdom’s hybrid data architecture, India’s federated data architecture, swarm learning, gossip learning, blockchain, edge computing, application programming interfaces, augmented public health intelligence, quantum computing, zero-trust security, blockchain, and data solidarity. This chapter then considers political economic advances particularly from the perspective of Political Liberalism–bridging democracies and autocracies, including in data governance models (spanning Europe’s general data protection regulation and Japan’s agile governance), managed strategic competition, and World Health Organization coordination. Finally, this chapter considers AI ethics for the health ecosystem. Particular emphasis is given to how population aging, multicultural diversity, and human security requires more inclusive discussion of diverse perspectives, as through Personalist Social Contract ethics to generate and sustain substantive convergence on the unifying values of human dignity, rights, and sovereignty that then give rise to effective and equitable collective action. This chapter concludes by applying the abovesaid dimensions to concrete AI use cases for the global public health ecosystem that illustrates this integral approach, including ethics by design or embedded AI ethics (within existing ecosystem operations and structures), democratizing AI or personalizing AI (as with end-to-end AI platforms and edge computing expanding and interlinking free and affordable AI services for larger audiences), and ecosystem interoperability (uniting political economic interoperability, data interoperability, and moral interoperability to leverage global resources and insights for local communities leading their own projects).