Plainly Speaking is not a manual for implementing artificial intelligence. It is a conversation about what happens when AI stops being something organizations are preparing for and becomes something people simply use.
For associations, nonprofits, and colleges, that change raises questions far bigger than which tool to choose or how to write a better prompt. What information are we comfortable sharing? Who owns the work AI helps create? What happens when a confident answer is wrong? When should AI use be disclosed? Where does responsibility ultimately rest? And perhaps most importantly, when should we decide not to use it at all?
The book begins with the practical realities of working with AI, including prompts, context, conversation, and the sometimes surprising ways these systems respond. From there, it moves into the harder organizational questions surrounding privacy, ownership, bias, policy, leadership, disclosure, accountability, and trust.
Throughout, the goal is neither to sell AI nor to warn people away from it. It is to make the conversation more useful. AI can be remarkably capable, but capability is not judgment. Organizations still need people willing to ask whether an answer is right, whether to trust it, what might be given up for convenience, and what everyone may be missing.
Plainly Speaking is for the staff members, volunteers, educators, executives, and board members who find themselves somewhere between enthusiasm and skepticism. It offers a way to think more clearly about AI as it becomes part of ordinary work, without surrendering the human judgment that the work still requires.