Forensic Science Technicians
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Collect, identify, classify, and analyze physical evidence related to criminal investigations. Perform tests on weapons or substances, such as fiber, hair, and tissue to determine significance to investigation. May testify as expert witnesses on evidence or crime laboratory techniques. May serve as specialists in area of expertise, such as ballistics, fingerprinting, handwriting, or biochemistry.
The automation risk for the occupation "Forensic Science Technicians" is estimated at 38.0%, which is closely aligned with the base risk of 38.5%. This is considered a moderate risk, indicating that while some aspects of the job are susceptible to automation, a significant portion of the work still requires human expertise and oversight. The tasks most vulnerable to automation include collecting evidence from crime scenes and preserving its integrity, maintaining detailed records and preparing reports, and using photographic or video equipment to document evidence or crime scenes. These functions largely follow clear procedures and are increasingly being supported by automated tools, such as evidence-logging systems and advanced imaging technologies. Despite these automatable components, there are core aspects of the forensic science technician role that resist automation due to their complexity and reliance on critical thinking. The most resistant tasks involve analyzing data from computers or other digital sources to uncover evidence—a process that often requires pattern recognition, insight, and judgment beyond the capabilities of current artificial intelligence systems. Additional resistant tasks include examining firearms to ascertain their mechanical condition and legal status, sometimes involving intricate restoration work, and identifying and quantifying drugs or poisons in complex biological samples or at crime scenes. These responsibilities demand hands-on expertise, the ability to interpret nuanced information, and adherence to strict protocols, all of which are difficult to replicate with automated systems. Underlying these resistant tasks are bottleneck skills such as originality, which register at 2.9% and 3.1%—indicating that while not the highest in creativity or innovation compared to other professions, a notable degree of unique problem-solving is essential for effective work. Originality plays a crucial role when technicians encounter unfamiliar evidence, devise new laboratory techniques, or interpret atypical results. The need for tailored judgment and adaptive thinking represents a significant barrier to full automation. Therefore, while automation will likely continue to transform certain routine aspects of forensic science, the occupation will continue to rely on human skills for the foreseeable future.