What question did this study set out to answer?

The aim is to investigate the biases and discrimination present in facial recognition technology used in criminal identification.

March 7, 2026INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS0 citationsOpen Access

Bias and Discrimination Are Inherent in Algorithms Used for Facial Recognition Technology in Criminal Identification: An Essential Ethical, Societal and Legal Consideration

SLSURAVI LAHIRIGovernment of West Bengal

Key Points

The aim is to investigate the biases and discrimination present in facial recognition technology used in criminal identification.
Literature review of ethical, societal, and legal considerations regarding facial recognition technology.
Analysis of case studies that highlight biases in algorithms.
Evaluation of the impact of discrimination on marginalized communities.
Evidence of racial and gender biases embedded in facial recognition algorithms.
Findings suggest significant legal implications for law enforcement use of such technologies.
Recommends the need for regulatory frameworks to address these biases.

Abstract

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