AI and Biometric Roadside Screening – The Future of DUI Detection

AI and Biometric Roadside Screening – The Future of DUI Detection

When it comes to winning your DUI case, having the right team on your side is essential. Due to their complex legal nature, DUI cases often necessitate special knowledge and training for success.

As high-risk biometric AI systems threaten fundamental constitutional rights, there has been an increasingly vocal call for an AI Bill of Rights.

1. Driver NeuroMonitoring System

Some systems use cameras to identify distracted driving, while others detect fatigue by analyzing vehicle sensors. If detected, an alert may be audible or visual; vibrate-alert systems also exist that have the capacity to stop vehicles if their driver becomes unfocused.

CorrActions recently unveiled a device they claim can detect drunk and impaired driving with near zero false positive rate. Their technology monitors driver eyes for signs of intoxication such as closed eyelids or yawning. According to CorrActions, their technology could significantly decrease DUI deaths as well as driver distraction fatalities.

Passive detection technologies are only effective if they’re reliable and accurate, which means both the public and defense attorneys must trust these devices are operating as intended. Video technology provides an important opportunity to hold law enforcement accountable and ensure proper procedures are observed during DUI stops.

2. Eye-Tracking

Eye tracking provides researchers with an objective look into human cognition. Unfortunately, its application in healthcare research and medical device testing involves an intimidating learning curve that makes getting started difficult for those unfamiliar with the technology.

Eye tracking often requires expensive and difficult-to-install specialized equipment. Furthermore, it may be challenging to interpret the data that’s produced from it correctly.

Eye tracking could provide insight into whether diabetic patients read and understood the warning printed on their insulin pen before use; fixation count and duration measures would reveal whether they did, but would not provide insight into whether they understood or behaved in accordance with it; therefore, alternative subjective or behavioral measures such as questionnaires and biosensors would need to be used instead of just eye tracking alone. For this reason, it is often recommended that eye tracking be combined with other biosensors.

3. Biometrics

Biometrics are physical or behavioral traits that are unique to each person, often passed down from generation to generation, which cannot be replicated or stolen. Biometrics are used to identify or verify individuals through techniques like facial recognition, fingerprinting, iris scanning and voice recognition systems.

One-to-one (1:1) systems allow individuals to be identified using biometric characteristics specific to them such as their iris or fingerprint. Biometric systems also perform two-tiered identification (2:N), by matching new biometric traits against multiple templates stored by the system.

Biometric systems may be considered privacy invasive depending on their purpose and context of use, which necessitates conducting an inventory of all biometric systems used, followed by threshold applicability and impact assessments for each. To avoid privacy breaches, it is imperative to complete an inventory of all such technologies while considering their interactions with Information Privacy Principles under PDP Act.

4. Artificial Intelligence

Artificial intelligence has become part of our everyday lives in numerous ways – virtual assistants like Siri and Alexa are just two examples, while Generative AI, which uses machine learning to generate content, is another. Such systems help businesses make decisions quickly while supporting employees with tasks at hand.

AI can also be utilized by the military for processing intelligence data more rapidly and detecting cyberwarfare attacks, automating defense systems and weapons systems as well as arming drones and vehicles with this technology.

However, while these technologies provide great potential benefits, they also raise ethical concerns. Facial recognition technologies may misidentify people of color or women due to bias; civil liberties advocates worry that biometrics and AI could be used for mass surveillance; thus lawmakers are trying to establish regulatory frameworks and oversight mechanisms that ensure advanced technology is deployed responsibly and protects privacy rights and other fundamental legal rights. At Werksman Jackson & Quinn we believe technological progress should never come at the cost of fundamental legal rights.