AI-Affected Evidence: Terms to Know
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Unrealistically expecting conclusive scientific proof of guilt before the factfinder will convict, resulting in acquittals of guilty defendants because of lack of forensic evidence.
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Placing too much weight on forensic evidence produced by prosecution, resulting in convictions in cases where the defendant probably should have been acquitted.
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Whereby parties levy attacks on authentic materials that a fact finder might accept.
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An assertion that all evidence is potentially synthetic and must be interrogated.
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The propensity for jurors/fact finders to place disproportionate weight on visual information, even if instructed that it may be fake.
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The inexplicability of certain AI systems, frustrating the auditability of an AI-affected process.