August 2026
Intermediate
218 pages
8h 28m
English
Content preview from Leading with AI in the EU
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11 Closure
AI, from earlier systems through generative and agentic forms, is one strand of a wider digital ecosystem: hardware, data, analytics, models, and trained people. Across pragmatic and visionary perspectives, this book has argued a single point: AI outcomes are shaped less by technological inevitability than by choices made under constraint. Strategy, governance, and execution matter at least as much as model capability or compute scale.
The questions AI raises are remarkably stable across architectures. Who is accountable? Which risks are acceptable? How is evidence generated? How are decisions reviewed when automation becomes pervasive? Better models do not retire these questions; they raise the cost of answering them poorly. Organizations ...
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