According to reports, Netflix has used seemingly AI-generated or manipulated images in a recent true crime documentary. The images depict Jennifer Pan with distorted features, raising concerns about bias. There has been a strong online reaction, questioning Netflix's use of AI in content production. The documentary "What Jennifer Did" tells the story of a female named Jennifer Pan who was involved in a murder-for-hire plot in Canada in 2010. It is said that the streaming service used photos to portray her personality, with her high school friend Nam Nguyen describing her as "lively, happy, confident, and very sincere." Around 28 minutes into the documentary, several images show Pan's hands and fingers twisted and deformed, facial features distorted, objects in the background morphed, and an unusually long front tooth. However, in subsequent photos, these features have been altered. If the reports are true, this raises serious concerns about the use of such images in the documentary, especially since the depicted suspect is currently in prison awaiting a retrial. It is well known that AI image generators face difficulties when creating images of human hands. It is difficult to determine exactly what happened during the editing process, but it is likely that the producers used a single image as a source to create additional "photos." However, the resulting output may be seen as biased rather than objectively presenting the facts of the case. The Ontario Court of Appeal ordered a retrial for this woman from the Toronto area in a first-degree murder case in 2023, as the trial judge said the jury should have had more options. There have been protests online, with one social media user accusing Netflix of relying on AI instead of hiring workers to do the job. Victor Tangermann, a writer for Futurism, said, "Using technology to generate images of a real person, especially for someone who is still in prison and not eligible for parole until around 2040, should raise alarm bells." How does Netflix use AI? Netflix uses AI to monitor what content users watch, what they like, and what they highly rate. Based on this information, it recommends other shows and movies that users might be interested in. The streaming service has a machine learning research center dedicated to "exploring innovative techniques for effective estimation in predictive modeling and the application of these models in real-world discrete survival environments." Netflix states that it focuses on policy estimation, which is crucial for policy evaluation and optimization, addressing challenges such as distributional shifts and large action spaces through innovative techniques like policy convolution estimators. It also explores uncertainty quantification, experience risk minimization under adaptive data, and efficient Bayesian deep learning methods to enhance risk improvement and generalization guarantees in machine learning applications. The company previously faced opposition from Hollywood actors and writers over job advertisements for AI experts. The ad, which offered a salary of up to $900,000 per year, intensified concerns among Hollywood unions about the impact of AI on the entertainment industry and wages.