Can You Trust an AI If You Don’t Know Who Taught It?

Medium: https://medium.com/@jsmith0475/can-you-trust-an-ai-if-you-dont-know-who-taught-it-b559ecbdeb38 The article, by Dr. Jerry A. Smith, examines the critical threat posed by "subliminal learning" in artificial intelligence, particularly within the pharmaceutical industry. Subliminal learning is defined as the invisible transmission of biases and behavioral traits between AI models through non-semantic data, such as punctuation or number sequences, which traditional safety filters cannot detect. The text uses the example of an AI designed for clinical trials that inherited a hidden bias against Asian populations to illustrate the danger, which is especially problematic for an industry where patient safety and regulatory compliance are paramount. To address this risk, the source urges pharmaceutical companies to audit their AI systems immediately, collaborate with regulatory bodies like the FDA, and invest in new safeguards to track the provenance of AI training data.

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