Tiny Chinaman
kiwifarms.net
- Joined
- Dec 12, 2022
Machine Learning and gene editing at the helm of a societal evolution
"The integration of artificial intelligence (AI) and biotechnology, whilst in its infancy, presents significant opportunities and risks, and proactive policy is needed to manage these emerging technologies. Whilst AI continues to have significant and broad impact, its relevance and complexity magnify when integrated with other emerging technologies. The confluence of Machine Learning (ML), a subset of AI, with gene editing (GE) in particular can foster substantial benefits as well as daunting risks that range from ethics to national security. These complex technologies have implications for multiple sectors, ranging from agriculture and medicine to economic competition and national security. Consideration of technology advancements and policies in different geographic regions, and involvement of multiple organisations further confound this complexity. As the impact of ML and GE expands, forward looking policy is needed to mitigate risks and leverage opportunities. 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 technology advancements and their convergence, which can be applied to other sectors. This report is intended for policymakers to prompt reflection on how to best approach the convergence of the two technologies. Technical practitioners may also find it valuable as a resource to consider the type of information and policy stakeholders engage with."
The folks at Rand have released a 112 page paper that contains an in depth explanation and examination of the state of gene editing, which now heavily relies on machine learning for scientific discovery . The paper also contains the results of a biological war game held to analyze the danger of the proliferation of biotech being accelerated by machine learning.
The paper also contains a partial explanation of Covid and the current state of the proliferation of biological weapons
I highly recommend all of you share this information with anyone you even kind of care about.
Link: https://www.rand.org/pubs/research_reports/RRA2838-1.html