  This paper examines the impact of cognitive biases on decision-making in
forensics and digital forensics, exploring biases such as confirmation bias,
anchoring bias, and hindsight bias. It assesses existing methods to mitigate
biases and improve decision-making, introducing the novel "Impostor Bias",
which arises as a systematic tendency to question the authenticity of
multimedia content, such as audio, images, and videos, often assuming they are
generated by AI tools. This bias goes beyond evaluators' knowledge levels, as
it can lead to erroneous judgments and false accusations, undermining the
reliability and credibility of forensic evidence. Impostor Bias stems from an a
priori assumption rather than an objective content assessment, and its impact
is expected to grow with the increasing realism of AI-generated multimedia
products. The paper discusses the potential causes and consequences of Impostor
Bias, suggesting strategies for prevention and counteraction. By addressing
these topics, this paper aims to provide valuable insights, enhance the
objectivity and validity of forensic investigations, and offer recommendations
for future research and practical applications to ensure the integrity and
reliability of forensic practices.
