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Under RFK Jr. Leadership, HHS Develops AI to Analyze Vaccine Side Effects

The U.S. Department of Health and Human Services (HHS) is developing an AI-based system to analyze reports of vaccine side effects. However, Secretary Robert F. Kennedy Jr.'s history of anti-vaccine rhetoric is raising concerns within the scientific community about the tool's impartiality. Kennedy also announced the establishment of a new unit within the CDC focused on vaccine safety.

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Under RFK Jr. Leadership, HHS Develops AI to Analyze Vaccine Side Effects

HHS Invests in AI System for Vaccine Safety Monitoring

The U.S. Department of Health and Human Services (HHS) has announced it is in the process of developing an artificial intelligence (AI)-based tool to accelerate and deepen the analysis of adverse events reported following vaccination. This initiative aims to increase the use of technology in the field of pharmacovigilance (drug safety monitoring). The system is expected to scan large datasets—including social media posts, forum discussions, medical records, and official reporting systems—that are time-consuming to review with traditional methods, in order to detect potential signals early.

The project's technical infrastructure is reported to be built on natural language processing (NLP) and machine learning algorithms. These technologies have the capacity to identify patterns, relationships, and rare cases in unstructured text data more quickly than human analysis. Experts state that a properly calibrated AI system could offer public health authorities a more agile and data-driven decision-making capability.

Secretary Kennedy's History and Scientific Impartiality Concerns

Coinciding with the announcement of the initiative, the appointment of HHS Secretary Robert F. Kennedy Jr. and his past public statements have ignited debates about the project's scientific impartiality. Kennedy is known for long advocating a series of claims associated with the anti-vaccine movement and contradicting scientific consensus. Consequently, many public health experts and medical associations harbor concerns that the algorithms, data selection, and interpretation of the AI tool to be developed could be structured in a biased manner or that the results could be used to support a political agenda.

Critics emphasize that the objectivity of AI systems depends entirely on the data used to train them and the approach of the teams labeling that data. Training with biased or incomplete data can lead to skewed results. This risk is particularly pronounced in a politically sensitive area like vaccine safety, especially under the leadership of a figure with Kennedy's controversial background. The scientific community is calling for maximum transparency in the development process, independent audits of the algorithms, and oversight by panels of unbiased experts to ensure the tool serves public health, not ideology.

In a related move, Secretary Kennedy announced plans to establish a new unit within the Centers for Disease Control and Prevention (CDC) dedicated to vaccine safety. While strengthening safety surveillance is generally welcomed, the announcement has been met with skepticism due to the context of his overall stance. Observers argue that the true test will be whether these technological and structural investments are guided by robust, peer-reviewed science and a commitment to addressing legitimate safety questions without amplifying misinformation or undermining public confidence in vaccination programs based on decades of evidence.

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