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Ideological Overfitting: Understanding Belief Rigidity Through Machine Learning - Professional Practice in Governance and Public Organizations Orestis Delardas
Ideological Overfitting: Understanding Belief Rigidity Through Machine Learning - Professional Practice in Governance and Public Organizations
Orestis Delardas
Drawing clear parallels between machine learning and belief formation, the book shows how the same mechanisms that cause AI systems to overfit data also cause human worldviews to become confident, narrow, and resistant to correction.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | February 7, 2027 |
| ISBN13 | 9783032331144 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 211 |
| Dimensions | 150 × 220 × 20 mm · 456 g (Weight (estimated)) |
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