Thinking in AI By Mark Kashef (Early Release)

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Thinking in AI By Mark Kashef (Early Release) | 6.42 MB

Title: Thinking in AI By Mark Kashef (Early Release)
Author: Shannon Vallor
Category: Social Science, Automation, Ethics & Moral Philosophy, Philosophy
Language: English | 254 Pages | ISBN: 9780197759080​

Description:​

Most companies say they use AI. Very few can say what they are becoming - or answer one question: if every AI tool were switched off tomorrow, would the business still run?

Thinking in AI: The Foundations gives every reader - executive, manager, employee or engineer - one shared set of ideas for adopting AI on purpose: the three adoption levels (AI First, AI Embedded, AI Native); the shutdown test that reveals which level you are really at; the difference between an agent (a thing you can count), an autonomy level (a degree you can set) and a multi-agent system (a system you can organize); the five-level autonomy scale; the four-layer model built on a deterministic core; the four work groups; the four-step roadmap and the four conditions no transformation survives without.

Every idea is shown, not lectured, on three fictional companies - Cedar Bank, Oakridge Manufacturing and Harbor Securities - with the same people and numbers that run through all six books.

After this book you will be able to:

[*] Classify any company, project or tool into one of three adoption levels - and explain, in one sentence, why
[*] Apply the shutdown test to a business unit and read the answer correctly
[*] Tell an AI agent from an autonomy level from a multi-agent system, and ask the right test question of each
[*] Place any piece of software on the five-level autonomy scale and say what the human does at that level
[*] Put any AI initiative into the four-layer model and name the one thing that must never change
[*] Explain the four-step roadmap and the four work groups, and why skipping a step is the most common cause of failure
[*] Check a transformation plan against the four mandatory conditions before money is spent

16 chapters, 16 figures, a self-test with answer keys in every chapter, a 60-term glossary and worksheets. Read it first; the other five books each take one seat in the company.

In this series: 1 The Foundations · 2 Thinking in AI for Leaders · 3 Thinking in AI for Managers · 4 Thinking in AI at Work · 5 Thinking in Agents and AI-Native Systems · 6 The AI-Native Casebook.

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