2023 WL 4198982 · Court of Appeals of Ohio · United States (Ohio)
Robotics and AI Lawrobotics-and-ai-lawRobotics and AI LawAI facial recognition – reliability and admissibility
Issue
Whether evidence derived from AI facial recognition is admissible under evidentiary rules.
Held
Admissible, but subject to scrutiny of reliability and foundation.
Exam use
In an exam, introduce State v. Tate with the citation only if you can remember it accurately; otherwise use the case name and court, then focus on the rule and application. A strong answer should say what State v. Tate decided, why the facts mattered, and how the authority helps resolve the new facts. Avoid treating the case as a decorative reference. Use it to prove a doctrinal step in AI facial recognition – reliability and admissibility, then move quickly to analysis.
Summary
State v. Tate is included in the Robotics and AI Law case database because it gives students a concrete authority for AI facial recognition – reliability and admissibility. The reported citation is 2023 WL 4198982, and the decision is associated with Court of Appeals of Ohio. In revision, treat the case as a way to connect the legal issue to a real dispute rather than as an abstract rule. The key exam move is to state the holding, identify the fact pattern that made the rule matter, and then decide whether a new problem question should apply, distinguish, or limit the authority.
Facts
The material factual signal for State v. Tate is: Facial recognition software was used to identify a suspect, leading to arrest and prosecution. Students should read the linked source and turn that signal into a short fact table: parties, transaction or public-law setting, procedural posture, conduct in dispute, and the fact the court treated as decisive. This prevents vague case-dropping. In an answer on Robotics and AI Law, use the facts to explain why AI facial recognition – reliability and admissibility was live, then compare the problem facts against the facts in the case before stating any conclusion.
Procedural History
State v. Tate is reported as a decision of Court of Appeals of Ohio. The procedural route should be checked against the linked source before formal citation. For study notes, record whether the decision was an appeal, judicial review, trial judgment, tribunal ruling, or constitutional/application proceeding, because that posture affects how confidently the rule can be used.
Issue
Whether evidence derived from AI facial recognition is admissible under evidentiary rules.
Held
Admissible, but subject to scrutiny of reliability and foundation.
Ratio Decidendi
Facial recognition evidence must meet the same reliability standards as other scientific evidence; the proponent must show its validity.
Obiter Dicta
Check the linked source for concurring, dissenting, or obiter observations before quoting this case. If the case includes non-binding reasoning, use it as persuasive support rather than as the core rule.
Reasoning
For reasoning, start with the ratio: Facial recognition evidence must meet the same reliability standards as other scientific evidence; the proponent must show its validity. Then read the source and separate three things: the legal test, the facts used to apply that test, and any policy or institutional reason the court gave. This structure makes State v. Tate easier to use in essays and problem questions. In Robotics and AI Law, the case should be compared with related authorities on AI facial recognition – reliability and admissibility; if the jurisdiction, statute, or procedural posture differs from the exam problem, explain that limit explicitly instead of treating the authority as automatic.
Plain-English Explanation
Plainly, State v. Tate is a case to use when a Robotics and AI Law answer needs an authority on AI facial recognition – reliability and admissibility. Do not just list it. Explain the problem the court had to solve, the rule or holding it used, and the fact that made the result persuasive. That turns the case from a memorised name into evidence for your legal analysis.
Essay-Ready Explanation Generator
Version 1 of 4
Reference to State v. Tate (2023 WL 4198982) strengthens a Robotics and AI Law answer because the case reflects the principle that Facial recognition evidence must meet the same reliability standards as other scientific evidence; the proponent must show its validity. Applied to a problem question, the case should be used after identifying the issue as Whether evidence derived from AI facial recognition is admissible under evidentiary rules. The stronger essay move is to connect the material facts to the court's holding, then explain whether the present facts support the same conclusion or justify distinguishing the authority.
Underlying Concepts
robotics-and-ai-law
Robotics and AI Law
AI facial recognition – reliability and admissibility
case authority
exam application
Key Passages
Verify exact wording in the linked source before quoting.
Significance
State v. Tate is significant for LawConquer users because it supplies a named authority for AI facial recognition – reliability and admissibility in Robotics and AI Law. The case can anchor a paragraph, support a rule statement, or provide a contrast point when another authority points the other way. Its practical value is strongest when the student links the holding to the material facts and then explains whether the present problem is analogous or distinguishable.
Related Cases
No related cases listed.
Exam Tips
In an exam, introduce State v. Tate with the citation only if you can remember it accurately; otherwise use the case name and court, then focus on the rule and application. A strong answer should say what State v. Tate decided, why the facts mattered, and how the authority helps resolve the new facts. Avoid treating the case as a decorative reference. Use it to prove a doctrinal step in AI facial recognition – reliability and admissibility, then move quickly to analysis.
Revision Checklist
Name the issue before discussing facts so the marker sees the legal question immediately.
State the holding in one sentence, then use the ratio to explain why the court reached that result.
Use the citation and jurisdiction to show why this authority matters for the problem you are answering.
Pair this case with one supporting or contrasting authority if the question tests limits, policy, or exceptions.
Problem Question Use
Use State v. Tate in a problem question by matching the factual trigger to the new scenario. If the fact pattern aligns with Facial recognition software was used to identify a suspect, leading to arrest and prosecution., apply the ratio and explain the likely result. If a crucial fact, jurisdiction, statute, or procedural posture differs, distinguish the case and use it as a boundary rather than a controlling answer.