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AI in Protein Design: Study Warns of Safety Risks

AI systems can create dangerous protein variants. Current security measures may not be enough to detect them.

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AI in Protein Design: Study Warns of Safety Risks

A recent study by Wittmann et al. in Science has raised concerns about the safety of artificial intelligence in protein design. The research highlights the limitations of current security measures in detecting dangerous protein variants generated by AI systems.

The study, which was not conducted by a named research group, found that AI systems can create protein variants that may slip through commercial biosafety screening systems. Four such systems tested had unreliable recognition rates for AI-generated variants compared to original sequences.

Existing initiatives like the guideline for responsible use of AI in biodesign already address these concerns, contrary to the study's implications. However, scientists acknowledge the increased risk and accessibility of AI-based biodesign technology. Software updates developed with providers improved recognition but did not detect all potentially dangerous variants.

The debate on countermeasures includes technical solutions, regulatory approaches, and ethical considerations. Prof. Dr. Dirk Lanzerath emphasizes the need for binding policies and the 'Ethics by Design' principle in development. Clara Schoeder, however, warns against hindering legitimate research through overly strict regulation.

The study by Wittmann et al. underscores the need for enhanced security measures in AI-driven protein design. While existing initiatives and software updates provide some protection, further improvements are necessary. The debate on countermeasures continues, balancing safety with the significant potential of AI in modern biosciences, including medicine, materials research, and sustainable production.

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