What Every CEO Should Know About AI
Bibliographic Data
| ID | 19935636 |
|---|---|
| Authors | Viktor Dörfler (0000-0001-8314-4162, University of Strathclyde, corresponding author), Viktor Dörfler |
| Year | 2022 |
| Publication date | 2022-04-30 |
| Open Access | Yes |
| Type | BOOK |
| Venue | What Every CEO Should Know about AI (SOURCE_BOOK) |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/9781009037853 |
| OpenAlex | W4214911502 |
| ISBN | 9781009037853 |
| Open Library | OL38003067M |
| Language | EN |
| Citations received | 3 |
| References cited | 67 |
Dr Viktor Dörfler combines his background in developing and implementing AI with scholarly research on knowledge and cultivating talent to address misconceptions about AI. The Element explains what AI can and cannot do, carefully delineating facts from beliefs or wishful thinking. Filled with examples, this practical Element provokes thinking. The purpose is to help CEOs figure out how to make the best use of AI, suggesting how to extract AI's greatest value through appropriate task allocation between human experts and AI. The author challenges the attribution of characteristics like understanding, thinking, and creativity to AI, supporting his argument with the ideas of the finest AI philosophers. He also discusses in depth one of the most sensitive AI-related topics: ethics. The readers are encouraged to make up their own minds about AI and draw their own conclusions rather than accepting opinions from people with vested interests or an agenda
Argument (complex analysis) · Attribution · Creativity · Element (criminal law) · Epistemology · Management · Political science · Task (project management) · Value (mathematics) · Wishful thinking · Computer Science · Ethics and Social Impacts of AI · Innovation, Sustainability, Human-Machine Systems · Law · Philosophy · Psychology · Psychology of Moral and Emotional Judgment · Social Psychology
Artificial Intelligence
Cult of Information
Machines Who Think
Tacit Knowing
The Logic of Tacit Inference
General Systems Theory—The Skeleton of Science
Eliza—a computer program for the study of natural language communication between man and machine
A logical calculus of the ideas immanent in nervous activity
On Computable Numbers, with an Application to the Entscheidungsproblem
Creativity and artificial intelligence
Are theories of learning necessary?
Minds, brains, and programs
Deep learning
Fuzzy sets
I.—computing Machinery and Intelligence
The Logic of Scientific Discovery
Personal Knowledge
Working in Bed—A Commentary on “Automation, Algorithms, and Beyond
What Every CEO Should Know About AI
Thinking together
Expert performance
Why would anyone become an expert
Syntactic structures
The singularity is near
Social psychology of creativity
The social psychology of creativity
Computer Power and Human Reason
Situated Learning
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |