Bennett Kleinberg
Biographic Data
| ID | 3838557 |
|---|---|
| NAME | Bennett Kleinberg |
| GIVEN NAMES | Bennett |
| FAMILY NAME | Kleinberg |
| SIGNATURE | KLEINBERG B |
| AFFILIATIONS | Tilburg University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Humans incorrectly reject confident accusatory AI judgments
Automated verbal deception detection using methods from Artificial Intelligence (AI) has been shown to outperform humans in disentangling lies from truths. Research suggests that transparency and interpretability of computational methods tend to increase human acceptance of using AI to support decisions. However, the extent to which humans accept AI judgments for deception detection remains unclear. We experimentally examined how an AI model’s ac…
How Dutch legal professionals assess statement credibility: Evidence from a survey and an analysis of 518 court rulings on sexual abuse
In sexual abuse cases, the witness statement plays a fundamental role. This brings about the complex task for judges to evaluate the statement on its credibility. In Study 1, we polled 79 Dutch legal professionals about the criteria they rely on to evaluate the credibility of a statement. Most criteria mentioned pertained to the content of the statement, specifically consistency (66%), accuracy (66%), and detailedness (53%). Twenty-eight percent …
A many-analysts approach to the relation between religiosity and well-being
The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-…
How humans impair automated deception detection performance
BACKGROUND: Deception detection is a prevalent problem for security practitioners. With a need for more large-scale approaches, automated methods using machine learning have gained traction. However, detection performance still implies considerable error rates. Findings from different domains suggest that hybrid human-machine integrations could offer a viable path in detection tasks. METHOD: We collected a corpus of truthful and deceptive answers…
No prominent works on this page.
How humans impair automated deception detection performance
BACKGROUND: Deception detection is a prevalent problem for security practitioners. With a need for more large-scale approaches, automated methods using machine learning have gained traction. However, detection performance still implies considerable error rates. Findings from different domains suggest that hybrid human-machine integrations could offer a viable path in detection tasks. METHOD: We collected a corpus of truthful and deceptive answers…
A many-analysts approach to the relation between religiosity and well-being
The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-…
How Dutch legal professionals assess statement credibility: Evidence from a survey and an analysis of 518 court rulings on sexual abuse
In sexual abuse cases, the witness statement plays a fundamental role. This brings about the complex task for judges to evaluate the statement on its credibility. In Study 1, we polled 79 Dutch legal professionals about the criteria they rely on to evaluate the credibility of a statement. Most criteria mentioned pertained to the content of the statement, specifically consistency (66%), accuracy (66%), and detailedness (53%). Twenty-eight percent …
Humans incorrectly reject confident accusatory AI judgments
Automated verbal deception detection using methods from Artificial Intelligence (AI) has been shown to outperform humans in disentangling lies from truths. Research suggests that transparency and interpretability of computational methods tend to increase human acceptance of using AI to support decisions. However, the extent to which humans accept AI judgments for deception detection remains unclear. We experimentally examined how an AI model’s ac…
Deception detection and forensic psychology (3 works) · Computer Science (2 works) · Credibility (2 works) · Deception (2 works) · Explainable Artificial Intelligence (XAI (2 works) · Psychology (2 works) · Social Psychology (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Child sexual abuse (1 works)