John S Pritchett: Trusted Intelligence, Kartoniert / Broschiert

Klappentext

Artificial intelligence has become useful faster than it has become trustworthy. Trusted Intelligence: What AI Platforms Must Do to Deserve Trust asks a question that will shape the next era of AI: what must a platform do before people should rely on it? John S. Pritchett examines the gap between fluent output and trustworthy intelligence. AI can summarize, recommend, explain, draft, rank, and decide with extraordinary speed, but polished answers do not automatically reveal whether the evidence is strong, the assumptions are sound, the information is current, or the human user still retains meaningful control. Building on the concerns raised in Cognitive Surrender and Media Literacy in an AI World, this book develops a practical framework for AI systems that preserve human judgment rather than quietly replacing it. Readers will explore the standards a trustworthy platform should meet, including: A meaningful human beginning before the machine supplies too much structure Clear purpose before consequential answers are produced Grounding in evidence, records, and current sources Traceability from claim to support Visible uncertainty when facts remain incomplete or disputed Proportional friction when the stakes justify greater care Human review with real authority to question, challenge, and override

The book also examines the risks of deskilling, hidden machine influence, disappearing audit trails, and systems that leave humans technically "in the loop" while the machine has already framed the problem, selected the evidence, and shaped the options. Trust should not come from fluency, speed, or convenience. It should be earned through evidence, transparency, accountability, and preserved human agency. Clear, practical, and forward-looking, Trusted Intelligence offers a blueprint for building AI platforms that help people think more clearly, judge more carefully, and remain responsible for the decisions that follow. The future of AI should not be measured only by what machines can do, but by whether they help humans remain capable of understanding, questioning, and deciding.