When Face Recognition Goes Wrong

When Face Recognition Goes Wrong explores the myriad ways that humans and machines make mistakes in facial recognition. Adopting a critical stance throughout, the book explores why and how humans and machines make mistakes, covering topics including racial and gender biases, neuropsychological disorders, and widespread algorithm problems. The book features personal anecdotes alongside real-world examples to showcase the often life-changing consequences of facial recognition going wrong. These range from problems with everyday social interactions through to eyewitness identification leading to miscarriages of justice and border control passport verification.
Concluding with a look to the future of facial recognition, the author asks the world's leading experts what are the big questions that still need to be answered, and can we train humans and machines to be super recognisers? This book is a must-read for anyone interested in facial recognition, or in psychology, criminal justice and law.

Sommario

Chapter 1. Introduction to face recognition and eyewitness identification. Chapter 2. I recognise your face but who are you? Everyday face recognition errors. Chapter 3. Unconscious transference and misidentifications. Chapter 4. The influence of race on face recognition and eyewitness identification. Chapter 5. The influence of gender on face recognition and eyewitness identification. Chapter 6. The influence of age upon face recognition and eyewitness identification. Chapter 7. Machine errors in face recognition. Chapter 8. Disguises, face masks and appearance change. Chapter 9. Prosopagnosia, Face Blindness. Chapter 10. Delusions of Misidentification (DMI). Chapter 11. Super recognisers. Chapter 12. The future of face recognition research.

Info autore

Catriona Havard is Professor of Psychology in the School of Psychology & Counselling at The Open University, UK.

Riassunto

This book explores the myriad ways that humans and machines make mistakes in facial recognition. Adopting a critical stance throughout, the book explores why and how humans and machines make mistakes, covering topics including racial and gender biases, neuropsychological disorders, and widespread algorithm problems.

Dettagli sul prodotto

• Autori: Catriona Havard, Havard Catriona
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 29.10.2024
• EAN: 9781032010953
• ISBN: 978-1-0-3201095-3
• Pagine: 264
• Categorie: Scienze sociali, diritto, economia > Scienze sociali, tematiche generali; Scienze umane, arte, musica > Psicologia > Psicologia teorica; Law, Artificial Intelligence, LAW / Forensic Science, PSYCHOLOGY / Social Psychology, PSYCHOLOGY / Psychopathology / General, SOCIAL SCIENCE / Criminology, PSYCHOLOGY / Cognitive Psychology & Cognition, LAW / Computer & Internet, Forensic Science, Cognition & cognitive psychology, Social, group or collective psychology, Criminal or forensic psychology, Cognition and cognitive psychology, Ethical & social aspects of IT, Legal aspects of IT, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Social Aspects, Digital and information technologies: Legal aspects, COMPUTERS / Forensics