Exploring Inductive Risk
Bibliographic Data
| ID | 20013596 |
|---|---|
| Authors | Kevin C Elliott (0000-0003-3397-7849), Ted Richards |
| Year | 2017 |
| Publication date | 2017-06-22 |
| Open Access | No |
| Type | BOOK |
| Venue | Exploring Inductive Risk (SOURCE_BOOK) |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/acprof:oso/9780190467715.003.0001 |
| OpenAlex | W4241031802 |
| ISBN | 9780190467715 |
| Language | EN |
| Citations received | 10 |
The introductory chapter provides an overview of the book Exploring Inductive Risk . It introduces the concept of inductive risk, briefly traces the history of the argument from inductive risk, and sets out the book’s chapters in terms of four themes. The first part, “Weighing Inductive Risk,” illustrates the concept of inductive risk and the judgments involved in weighing different sorts of errors. The chapters in the second part, “Evading Inductive Risk,” examine proposals by critics who argue that the value judgments associated with inductive risk should be made by citizens and policymakers, not by scientists. The third section, “The Breadth of Inductive Risk,” illustrates the wide variety of decision points throughout scientific practice where considerations of inductive risk are relevant. The book’s fourth section, “Exploring the Limits of Inductive Risk,” considers whether it still makes sense to apply the label of inductive risk to such a broad array of phenomena
Argument (complex analysis) · Electrical engineering · Epistemology · Ideal (ethics) · Inductive bias · Inductive method · Inductive reasoning · Inductive sensor · Machine learning · Mathematics education · Multi-task learning · Risk analysis (engineering) · Set (abstract data type) · Task (project management) · Value (mathematics) · Artificial Intelligence · Computer Science · Engineering · Medicine · Philosophy · Psychology · Qualitative Comparative Analysis Research · Risk Perception and Management
The Social Risks of Science
Rebuttal to Douglas and Elliott
Epistemic Luck and Epistemic Risk
Beyond Values
Who Is a Good Data Scientist? A Reply to Curzer and Epstein
Science advice
Risk-limited indulgent permissivism
The safe, the sensitive, and the severely tested
Diversifying science
Intelligence and scientific expertise
| Unique citing works | 10 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 9 |