Analyze forensic evidence to solve crimes.

Analyze forensic evidence to solve crimes. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 12 occupation-specific tasks. It rolls up into the broader work activity Analyze biological or chemical substances or related data. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 11 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 10 (91%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Collect evidence from crime scenes, storing it in conditions that preserve its integrity. · Forensic Science Technicians · importance 4.9 · no direct exposure
• Use chemicals or other substances to examine latent fingerprint evidence and compare developed prints to those of known persons in databases. · Forensic Science Technicians · importance 4.5 · exposure with tools
• Visit morgues, examine scenes of crimes, or contact other sources to obtain evidence or information to be used in investigations. · Forensic Science Technicians · importance 4.3 · exposure with tools
• Collect impressions of dust from surfaces to obtain and identify fingerprints. · Forensic Science Technicians · importance 4.1 · exposure with tools
• Determine types of bullets and specific weapons used in shootings. · Forensic Science Technicians · importance 4.0 · exposure with tools
• Examine and analyze blood stain patterns at crime scenes. · Forensic Science Technicians · importance 3.9 · exposure with tools
• Analyze gunshot residue and bullet paths to determine how shootings occurred. · Forensic Science Technicians · importance 3.9 · exposure with tools
• Confer with ballistics, fingerprinting, handwriting, documents, electronics, medical, chemical, or metallurgical experts concerning evidence and its interpretation. · Forensic Science Technicians · importance 3.8 · exposure with tools
• Compare objects, such as tools, with impression marks to determine whether a specific object is responsible for a specific mark. · Forensic Science Technicians · importance 3.7 · exposure with tools
• Examine firearms to determine mechanical condition and legal status, performing restoration work on damaged firearms to obtain information, such as serial numbers. · Forensic Science Technicians · importance 3.6 · exposure with tools
• Participate in forensic activities, such as tooth and bone structure identification, in conjunction with police departments and pathologists. · Anthropologists and Archeologists · importance 3.3 · exposure with tools
• Examine physical evidence, such as hair, biological fluids, fiber, wood, or soil residues to obtain information about its source and composition. · 19-4092.00

Occupations that perform this

• Forensic Science Technicians
• Anthropologists and Archeologists
• 19-4092.00

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-forensic-evidence-to-solve-crimes,
  title  = {Analyze forensic evidence to solve crimes.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-forensic-evidence-to-solve-crimes}
}