How Artificial Intelligence Evidence Can Be Challenged In Florida Criminal Cases
Artificial intelligence is changing the way law enforcement agencies search for suspects, analyze digital information, and organize evidence. Facial recognition can compare a surveillance image against large databases. Predictive analytics can identify patterns involving people, places, or reported criminal activity. Other automated tools can enhance video, recognize objects or vehicles, transcribe recordings, and sort enormous amounts of information far faster than a person could review it manually.
The technology can also make an accusation appear more certain than the underlying information supports. An algorithm still depends on the image, data, database, software, and settings used to generate its output. Investigators decide which matches, alerts, or associations to pursue, and those decisions can shape where the investigation goes next.
An error early in that process can influence what police find afterward. When an automated system helped identify a suspect or steer an investigation, working with an experienced Orlando criminal defense lawyer can help uncover how the accusation developed and where the software may have influenced the evidence police relied on.
Facial Recognition Can Put an Investigation on the Wrong Track
Facial recognition software generally compares features in an image with photographs contained in a database and returns possible candidates. A surveillance image taken at night or from an awkward angle may provide far less useful information than a clear booking photograph. Lighting, resolution, facial obstruction, camera position, image compression, and the particular algorithm being used can all affect the comparison.
The person ultimately selected by police may also tell only part of the story. A system can return multiple possible matches with different rankings or similarity scores, leaving a person to decide which candidate appears most promising. Performance also varies among facial recognition algorithms, while image quality and demographic differences can affect error rates.
Florida has already seen these issues reach an appellate court. In Lynch v. State, a crime analyst uploaded a photograph into facial recognition software after other database searches failed to identify the person pictured. The software returned possible matches, and Lynch received only a one-star score even though he was the highest-ranked candidate. His information was sent to undercover officers, who identified him as the person involved in the alleged drug transaction.
Lynch later sought photographs of other people returned by the facial recognition search. The First District Court of Appeal rejected his Brady claim and affirmed the conviction on the record before it. The court did not establish a broader rule governing facial recognition searches or require disclosure of every candidate returned by the software.
Predictive Analytics Can Shape Where Police Look Next
Predictive analytics works differently from facial recognition. Instead of comparing one photograph with another, analytical systems can use crime reports, geographic information, prior incidents, known associations, or other records to identify people, locations, or activity that appears worthy of closer attention.
Old records, incomplete data, incorrect associations, or patterns created by earlier enforcement activity can influence what a system flags. A person can attract additional police attention because of a statistical relationship or data point that does not explain what actually happened in the alleged offense. Once investigators begin following that lead, interviews, surveillance, searches, records, and witness contacts can all grow from the same starting assumption.
Information developed during those investigative steps may ultimately support an accusation on its own. The prediction that set the process in motion carries a different significance from evidence connecting a particular person to the alleged crime.
Discovery Can Show What Happened Before Police Settled on a Suspect
Police reports do not always show every step that led investigators to a suspect. A report may identify the person ultimately selected without explaining what image was submitted to facial recognition software, what other candidates appeared, how a ranking was interpreted, or what information generated an alert.
Florida Rule of Criminal Procedure 3.220 governs criminal discovery after a defendant elects to participate in the process and requires disclosure of specified information and materials within the state’s possession or control. Reports, images, expert material, scientific comparisons, and other records can provide context that is missing from the final police narrative.
The rule does not guarantee access to every proprietary feature or internal component of third-party software simply because the program played a role in the investigation. Rule 3.220 also allows a court to order additional discovery upon a showing of materiality, leaving the scope of any request tied to the circumstances of the case and the information being sought.
Automated Processing Can Change What Digital Evidence Looks Like
Artificial intelligence can also affect evidence after it has been collected. Video enhancement, image processing, object recognition, automated transcription, vehicle identification, and similar tools can make recordings or other digital information easier to analyze.
A processed image may look cleaner and more persuasive than the original camera footage. Software may highlight an object, sharpen an image, isolate a face, or label something the program believes it recognizes. The finished product can present details differently from the source material that first entered the system.
Florida Statutes § 90.901 requires authentication or identification as a condition of admissibility and calls for evidence sufficient to support a finding that the item is what its proponent claims. When software has processed or enhanced digital material, the difference between the source file and the finished version can affect how the evidence is understood. Details may disappear, change, or become more prominent during processing, making the original recording important when evaluating what the enhanced version actually shows.
Expert Testimony Cannot Turn an Algorithm Into Certainty
Complex technology often reaches a courtroom through an expert who explains what a program did or what a score supposedly means. Technical language can give a computer-generated conclusion a powerful appearance of precision, especially when jurors have no independent way to understand how the system reached it.
Florida law still places reliability requirements on expert testimony. Under Florida Statutes § 90.702, expert testimony must rest on sufficient facts or data, reliable principles and methods, and a reliable application of those principles and methods to the facts of the case.
Validation, error rates, input quality, operating conditions, and the way a tool was used can all affect the strength of a technical conclusion. A similarity score or algorithmic ranking may sound exact while still depending heavily on the information supplied to the system and the circumstances under which it was used. A facial recognition candidate is not the same thing as proof that the person pictured committed the offense.
Automated associations and statistical predictions may point investigators toward a person, place, or relationship, but their meaning depends on the evidence connecting that information to the alleged crime.
An Automated Match Does Not Tell the Whole Story
A facial recognition match, predictive alert, or software-generated analysis can influence who police investigate and which leads receive the most attention. A single computerized finding may become part of a much larger prosecution once investigators begin gathering records, speaking with witnesses, or pursuing additional evidence.
As the criminal investigation expands, the role of the original automated conclusion may become less obvious. A case can appear stronger once additional evidence accumulates, even though an uncertain comparison, incomplete data, or a software-generated assumption helped set the investigation in motion.
Guidance from an experienced Orlando criminal defense attorney can help trace how an automated lead shaped the investigation and identify where the prosecution’s theory relies too heavily on an uncertain match, prediction, or computer-generated analysis.
Contact The Baez Law Firm
If you are facing criminal charges involving facial recognition, predictive analytics, automated video analysis, or another form of AI-assisted evidence, the technology can make an already serious situation feel even more difficult to understand. Computer-generated scores, matches, and technical reports may appear authoritative even when important questions remain about how the information was produced and what it actually proves.
The Baez Law Firm represents clients in Orlando and throughout Florida in serious criminal matters involving complex forensic and digital evidence. Contact an experienced Orlando criminal defense lawyer and learn how we can challenge unreliable AI-assisted evidence and the conclusions prosecutors are using to support the charges against you.
Sources:
- Lynch v. State, 260 So. 3d 1166 (Fla. 1st DCA 2018)
law.justia.com/cases/florida/first-district-court-of-appeal/2018/16-3290.html - Florida Rules of Criminal Procedure, Rule 3.220, Discovery
floridabar.org/the-florida-bar-news/amendments-to-florida-rule-of-criminal-procedure-3-220-discovery/ - Florida Statutes § 90.901, Requirement of Authentication or Identification
flsenate.gov/Laws/Statutes/2026/0090.901 - Florida Statutes § 90.702, Testimony by Experts
flsenate.gov/Laws/Statutes/2026/0090.702 - National Institute of Standards and Technology, Face Recognition Technology Evaluation
pages.nist.gov/frvt/html/frvt11.html - National Institute of Justice, Predictive Policing, The Role of Crime Forecasting in Law Enforcement Operations
nij.ojp.gov/library/publications/predictive-policing-role-crime-forecasting-law-enforcement-operations
