- Biometric bias in the transgender and non binary community🔍
- Why bias matters when it comes to biometrics🔍
- How do we process biometric data fairly?🔍
- Biased Technology🔍
- CREATE Submits RFI on Disability Bias in Biometrics🔍
- Biometrics and AI Bias🔍
- What is demographic bias in biometrics🔍
- Bias in Biometrics🔍
Bias in Biometrics
Biometric bias in the transgender and non binary community - Mitek
The LGBTQ+ community is being negatively impacted by biometric bias when it comes to their own digital identities.
Why bias matters when it comes to biometrics - Onfido
Biometric verification technology must perform consistently no matter the race, age, gender or other characteristics of the subject.
How do we process biometric data fairly? | ICO
In the case of biometric identification, the number of references against which you are comparing can be a factor in the rate of false positive errors observed.
Biased Technology: The Automated Discrimination of Facial ...
Racial and Gender Biases. Studies show that facial recognition technology is biased. The error rate for light-skinned men is 0.8%, compared ...
CREATE Submits RFI on Disability Bias in Biometrics
CREATE led a discussion of disability bias and risk in the use of biometric technology. Ableist assumptions.
Biometrics and AI Bias - NSF PAR
Racial bias, and gender bias, are prevalent in many commercial and government biometric systems and a number of nongovern- ment organizations (NGOs) are ...
What is demographic bias in biometrics - Mitek Systems
Biometric algorithms are considered to be biased if there are significant differences in how it operates when interacting with different ...
Bias in Biometrics: How Organizations Can Launch Remote Identity ...
How is bias evaluated? At this time, the FIDO Alliance program considers false reject rate (FRR) for bias, using FRR methodology, and is ...
FTC Warns About Misuses of Biometric Information and Harm to ...
Additionally, some technologies using biometric information, such as facial recognition technology, may have higher rates of error for certain ...
Biometric bias and how to prevent it [Q&A] - Aware, Inc.
We spoke to Dr. Mohamed Lazzouni, CTO of Aware, to discuss the ethical issue of bias in biometrics and what needs to be done to prevent it.
Biometric bias: Why isn't facial recognition software built with ...
A lack of algorithmic inclusivity in the tech industry has led to digital exclusion and unintentional bias all because of unfairly built biometric systems.
Racial Discrimination in Face Recognition Technology
More disturbingly, however, the current implementation of these technologies involves significant racial bias, particularly against Black ...
Bias and Biometrics: Regulating Corporate Responsibility and New ...
14, 2019), https://www.nytimes.com/2019/04/14/technology/china-surveillance- artificial-intelligence-racial-profiling.html. Page 7. 2022. BIAS AND BIOMETRICS. 5.
Bias in Emerging Biometric Systems: A Scoping Review
This scoping review aims to identify the types of bias in AI-biometric systems, steps being taken to mitigate these biases, how effective ...
Law professor explores racial bias implications in facial recognition ...
Faculty of Law assistant professor Dr. Gideon Christian's area of expertise is on how AI and the law intersect.
Mitigating Demographic Bias in Facial Presentation Attack Detection
Growing use of biometrics has prompted the need for consistent accuracy across races, ages, and genders. Where there is bias, there is the potential for ...
A Critical Examination of Bias Evaluation in Biometric Verification ...
Quantifying bias in the form of maximum and minimum error rates obscures a model's bias and performance on demographic groups with intermediate ...
UB computer science professor weighs in on bias in facial ...
NIST also conducted its own independent investigation and confirmed that face recognition technologies across 189 algorithms were indeed ...
WVU cybersecurity researcher targeting security vulnerabilities ...
There are concerns about bias, and how to train biometric systems to treat all users fairly. And there are security weaknesses — how to protect ...
Biometrics Aren't Inherently Biased — We're Training Them Wrong
A biometric system isn't biased against any particular race or gender, but instead it is less able to identify the patterns typically found in that face's ...