Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Ethical challenges of AI-based deception detection in forensic settings. |
| Συγγραφείς: |
Fumagalli, Anita |
| Πηγή: |
Assessment & Development Matters; Autumn2026, Vol. 18 Issue 3, p17-23, 7p |
| Θεματικοί όροι: |
Lie detectors & detection, Ethics, Artificial intelligence, Cultural awareness, False positive error, Statistical bias, Forensic sciences, Test validity |
| Περίληψη: |
Key digested message Artificial intelligence for deception detection shows promise but raises significant scientific and ethical concerns in forensic settings. Evidence suggests that many systems perform well in controlled studies but lack real-world validity due to bias, limited theoretical grounding, and dataset constraints. They may also be opaque, culturally insensitive, and prone to reinforcing errors and false positives in high-stakes forensic decisions. Therefore, caution is recommended. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |