The prologue fleshes out the lessons drawn from this book. It offers best practices for a workable AI governance model that uses technical solutions, business self-regulation, and legal regulation. Then, it delves into some of the shortcomings of that model. The radical-democratic perspective that I advocate makes five general, practical suggestions for everyone concerned with AI risks and harms. (1) Organize: Build networks of support and civic organizations around technology-specific concerns as well as conventional rights considerations; (2) Learn: Acquire cross-disciplinary capabilities on the uses, practical applications, potential risks, and governance models associated with technologies like AI; (3) Participate: Push politicians and businesses to expand the boundaries of decision-making in the public and private sectors; (4) Care: Approach technological change from the perspective of vulnerable populations, and with an ethic of non-domination that refuses to treat nature and other people as instruments; and (5) Resist: Maintain an openness to contention with the producers and users of technologies that generate risks and harms.