From the exec. overview

As the impact of machine learning (ML) and gene editing (GE) expands, forward looking policy is needed to mitigate risks and leverage opportunities. The two technologies have increasing significance, the complexity of which magnifies when they integrate. Consideration of technology advancements and policies in different geographic regions, and involvement of multiple organisations, further confound this complexity. Thus, this study explores the technological and policy implications of the intersection of ML and GE, with a focus on the United States (US), the United Kingdom (UK), China and the European Union (EU). Analysis of technical and policy developments over time and an assessment of their current state have informed policy recommendations that can help manage beneficial use of technologies and their convergence. The proposed approach can

be applied to a variety of technologies and sectors. This report is intended for policymakers to prompt reflection and consideration of how to approach the convergence of the two technologies most effectively. Technical experts and practitioners may also find it valuable as a resource when considering the type of information and policy stakeholders to engage with on technological development.