The convergence of genetic engineering and AI
The convergence of artificial intelligence (AI) and genetic engineering/synthetic biology is promising great benefits, but also involves significant risks – including to the environment.
Access to countless genome databases enables AI to search through vast amounts of molecular genetic information in short periods of time, collecting data which can subsequently be used as a basis for designing new gene variants and gene combinations. In addition, with the help of new genetic engineering (or new genomic techniques, NGTs), such as CRISPR/Cas ‘gene scissors’, it is now possible to genetically engineer almost any gene in any lifeform.
It is the rapid and parallel development of these two advanced technologies that makes their convergence so explosive. A wide variety of combinations and synergies are emerging from combined applications of genetic engineering and AI, which can only be partially predicted or planned.
Geopolitical strategies and rivalries between the US, China and the EU are further fuelling this dynamic. There is a danger that the risks of releasing genetically engineered organisms will simply be accepted for strategic reasons in order to ‘win’ the AI and genetic engineering race. At the same time, the protection of health and the environment is under threat of being abandoned to free market forces in line with prevailing libertarianism.
It is not only the risks associated with individual genetically engineered organisms that are a matter of concern , but also the scale and speed of developments, including the diversity of new traits, the number of organisms being released and the range of species affected.
