Improving safety of AI research for engineering biology

Phys.org  July 8, 2024 The development of high-throughput methods like massively parallel reporter assays, data-rich microscopy techniques, computational protein structure prediction and design, and the development of whole-cell models are able to generate huge volumes of data. An international team of researchers (UK, USA – University of Washington) presented a community-developed framework for assessing hazards posed by using data-centric methods to engineer biology and demonstrated its application to two synthetic biology case studies. They showed the diversity of considerations that arise in common types of bioengineering projects and provided some guidelines and mitigating steps. According to the researchers understanding potential […]