{"id":3,"created_by":"102","created":"2025-01-16 13:46:44","modified":"2025-04-25 13:51:59","title":"When AI and Tech Get it Wrong: The Importance of Expert Review in Criminal Defense","permalink":"when-ai-and-tech-get-it-wrong-the-importance-of-expert-review-in-criminal-defense","content":"","intro":"<div class=\"article-body rte\">\r\n                        <p>In today\u2019s digital age, law enforcement agencies increasingly rely on AI-powered technologies such as facial recognition to identify suspects and solve crimes. While these tools can offer valuable assistance, they also come with significant risks, particularly when it comes to their accuracy and potential for bias. At Black Dog Forensics, we understand that when AI or technology is used in criminal investigations, the consequences of wrongful accusations can be severe, and that\u2019s why we emphasize the importance of a thorough <strong>criminal defense review<\/strong>.&nbsp; Simply put AI can wrongfully accuse individuals and these individuals suffer the consequences.&nbsp;<\/p>\r\n\r\n<div><img src=\"\/images\/bdforensics-blog2.png\" alt=\"When AI and Tech Get it Wrong\" class=\"blg-sh\"><\/div>\r\n<h4>The Growing Use of AI and Facial Recognition in Law Enforcement<\/h4>\r\n\r\n<p>Facial recognition technology has become a widely used tool for identifying individuals from photos or video footage, helping law enforcement agencies track suspects and solve crimes faster. However, this technology is not without its flaws. Studies have shown that facial recognition software can exhibit race, gender, and age biases, misidentifying people of color, women, and older individuals at higher rates than others. In fact, many FRT systems have been found to struggle with accurately identifying Black and Brown faces, particularly in women. This bias has led to multiple wrongful arrests based solely on incorrect facial recognition matches.<\/p>\r\n\r\n<p>For example, in <strong>Detroit, Robert Williams<\/strong> was wrongfully arrested after facial recognition software mistakenly matched his photo with surveillance footage of a robbery suspect. The police detained him for over 30 hours before an officer admitted, \"I guess the computer got it wrong.\" Despite the admission, Williams faced the inconvenience and distress of being arrested based solely on an AI error&ZeroWidthSpace;.<\/p>\r\n\r\n<p>Similarly, <strong>Michael Oliver<\/strong> was arrested after facial recognition technology misidentified him in a cell phone video showing another person committing a crime. The video clearly showed a man with no tattoos, yet Oliver has several tattoos on his face and forearms. This clear discrepancy between Oliver's appearance and the suspect in the video was ignored, and Oliver was wrongfully charged&ZeroWidthSpace;.<\/p>\r\n\r\n<p>These cases exemplify the risks of relying too heavily on AI technologies. When the technology misidentifies an individual, the consequences can be devastating, leading to wrongful arrests, loss of freedom, and damaged reputations. These technologies, while an efficient tool, can mislead officers into making arrests without enough corroborating evidence, amplifying the risks of automation bias\u2014a phenomenon where law enforcement officers place undue trust in the technology, even in the face of contradictory evidence&ZeroWidthSpace; AI and Facial Recognition Aren\u2019t Enough<\/p>\r\n\r\n<p>While AI and facial recognition may seem like an efficient means of identifying suspects, they are not foolproof. A false positive\u2014where the technology identifies the wrong person\u2014can have serious consequences, including wrongful arrests, reputational damage, and even wrongful convictions. The technology\u2019s errors can be exacerbated by poor-quality images, unreliable databases, or lack of diversity in training data, which all contribute to misidentifications. This makes it all the more critical that defendants have access to a thorough defense review that includes an independent examination of any AI-driven evidence.<\/p>\r\n\r\n<p>In <strong>Woodbridge, New Jersey, Nijeer Parks<\/strong> was misidentified by facial recognition technology, which mistakenly matched his photo with one from a fake I.D. left at a crime scene. Based on this single, faulty match, Parks was arrested and spent 11 days in jail before being released. In this case, there was no other evidence supporting the arrest, yet the technology was relied upon to establish probable cause.&nbsp;<\/p>\r\n\r\n<p>There are hundreds of examples in which AI misidentifications can lead to wrongful detentions, sometimes based on little more than a technology match that could have been inaccurate due to poor image quality, racial bias, or the software\u2019s inability to handle diverse datasets.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<h4>The Case for a Thorough Criminal Defense Review<\/h4>\r\n\r\n<h4>When AI, facial recognition, or any technology assisted investigative technique is used to support an arrest or accusation, it is essential to <strong>question the reliability of the technology.<\/strong><\/h4>\r\n\r\n<p>Relying solely on an AI match, especially without further corroborating evidence, can be dangerous. The legal implications are significant. A wrongful arrest can cause substantial harm, from a loss of personal liberty to long-lasting damage to a person\u2019s career and reputation. If you are facing charges involving AI or technology-driven evidence, it is crucial to have a <strong>comprehensive expert defense review<\/strong> to ensure that the technology was used appropriately and that the evidence has not been tampered with or misinterpreted.<\/p>\r\n\r\n<p>At <strong>Black Dog Forensics<\/strong>, we specialize in conducting <strong>thorough expert criminal defense reviews and digital forensic reviews<\/strong> of evidence. Our team ensures that:<\/p>\r\n\r\n<ul style=\"margin-left: 40px;\">\r\n\t<li><strong>Biases and errors are identified:<\/strong> We carefully analyze the technology\u2019s limitations, checking for potential biases in the system that could have led to an incorrect match.<\/li>\r\n\t<li><strong>Best Practice is maintained:<\/strong> We ensure that all digital evidence has been handled according to legal standards, preserving the integrity of the case.<\/li>\r\n\t<li><strong>The full context is considered:<\/strong> A comprehensive defense review goes beyond the AI or technology driven match. We look at all the factors, including witness statements, physical evidence, and expert opinions, to build a complete picture of the case.<\/li>\r\n<\/ul>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<h4>Protecting Your Rights with Expert Review<\/h4>\r\n\r\n<p>A thorough defense review is vital for protecting your rights in cases where AI and facial recognition technology play a role. Without proper examination, these technologies can contribute to wrongful convictions or the mishandling of evidence. At Black Dog Forensics, we offer expert reviews of AI or technology-driven evidence to ensure that the criminal justice system functions as it should\u2014without over-relying on imperfect technologies that could lead to grave errors.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n<h4>The Importance of Caution in the Age of AI<\/h4>\r\n\r\n<p>As AI and other technology-based investigation aids continues to be integrated into law enforcement practices, it\u2019s essential for individuals facing criminal charges to have experts review the technology\u2019s role in their case. At <strong>Black Dog Forensics<\/strong>, we are committed to providing clients with a thorough criminal defense review, ensuring that facial recognition, technology, and other AI tools are used fairly and accurately. If you are facing charges where AI or facial recognition has played a role, don\u2019t leave your fate to technology\u2014get in touch with <strong>Black Dog Forensics<\/strong> today to ensure that your case is reviewed with the utmost care and precision.<\/p>\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n                    <\/div>","excerpt":null,"category_id":"7","published":"1","state":0,"publish_up":"2025-01-16 13:46:44","publish_down":"0000-00-00 00:00:00","autopost_date":"0000-00-00 00:00:00","ordering":0,"vote":0,"hits":0,"access":"0","allowcomment":"1","login_to_read":null,"lottie_files":null,"polls":null,"subscription":"1","frontpage":"1","isnew":0,"blogpassword":null,"latitude":"","longitude":"","address":"","posttype":"","source_id":0,"source_type":"easyblog.sitewide","reactions":null,"robots":"","copyrights":"","image":"","language":"*","locked":0,"ip":"49.43.168.78","doctype":"legacy","document":"","autoposting":null,"categories":["7"],"tags":"","fields":[],"fields_class":null,"keywords":"","description":"","canonical":"","custom_title":"","send_notification_emails":"0","association":[],"author_alias":"","isfeatured":false,"version":"6.0.10","media":"{\"images\":[{\"url\":\"\\\/images\\\/bdforensics-blog2.png\",\"html\":\"<img src=\\\"\\\/images\\\/bdforensics-blog2.png\\\" alt=\\\"When AI and Tech Get it Wrong\\\" class=\\\"blg-sh\\\">\"}],\"videos\":[],\"audios\":[],\"galleries\":[],\"pdf\":[]}"}