Law, AI, and Intellectual Property

Bypassing Current Biosecurity Screens with AI Designed Proteins and Closing the Gap with Edge-AI Functional Screening

The paper introduces Capiti, an edge-deployed system that detects pathogenic protein function during DNA synthesis by analyzing valve control signals, outperforming existing sequence-based screening tools.

Safety First: Input Screening for Protein Design Tools

The paper introduces a screening method for protein design tools that evaluates functional and structural features to identify potentially harmful targets, showing high accuracy and distinguishing between benign and damaging mutations.

Experimental evaluation of AI-driven protein design risks using safe biological proxies

This study evaluates the risks of AI-driven protein design by testing synthetic homologs against biosecurity screening software.

Toward AI-Resilient Screening of Nucleic Acid Synthesis Orders: Process, Results, and Recommendations

The paper evaluates biosecurity screening tools for detecting AI-generated synthetic protein homologs and reports improved detection rates through patches.

Enhancing Biosecurity with Watermarked Protein Design

This paper introduces a watermarking framework for protein sequences generated by deep learning models to enhance biosecurity while preserving performance and accessibility.