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Statements posted on this blog represent the views of individual authors and do not necessarily represent the views of the Center for Law Science & Innovation (which does not take positions on policy issues) or of the Sandra Day O'Connor College of Law or Arizona State University.

Bits, Bots & Biomarkers

Blog of the Center for Law, Science and Innovation
at the Sandra Day O’Connor College of Law at
Arizona State University

Center’s AI governance research featured by premier intergovernmental organization

In a blogpost last week, the Organization for Economic Co-operation and Development (OECD) showcased work by ASU’s Center for Law, Science and Innovation (LSI) on soft-law governance of AI. The site OECD.AI published an article by Center Faculty Director, Prof. Gary Marchant, and Law Research Fellow, Dr. Carlos Gutierrez, entitled, “Soft law 2.0: Incorporating incentives and implementation mechanisms into the governance of artificial intelligence.” In the article, they describe how stakeholders can use soft-law mechanisms to respond to the rapidly-changing developments in AI technologies, and they explain that one key to success lies in crafting incentives and mechanisms that work. For more on this pioneering project, which was made possible by a grant from the Charles Koch Foundation, visit the website at https://lsi.asulaw.org/softlaw.

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REGISTER NOW: Artificial Intelligence Workshop October 9, 2020

The Center for Law Science and Innovation is hosting a workshop on Artificial Intelligence Soft Law funded by the Charles Koch Foundation to discuss the present state of existing soft law for AI.  Considered the most important technology of the twenty-first century, AI provides benefits for every industry sector. AI’s benefits include safer transportation, productive industrial processes, better medical diagnostics and faster scientific breakthroughs. The October 9th workshop covers the present state of AI and will collect, compare and analyze the existing soft law proposals for AI. This workshop analysis will work to identify the key themes and recommendations that are common in the proposals as well as evaluate how the wording of the provisions affects the interpretation of implementation and compliance of the program. Also included is a creation of a database and typology of the structural or procedural dimensions of each proposal, which includes the format of the

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Artificial Intelligence Is Making Its Way into Fertility Clinics

Walter G. Johnson is a research project coordinator at the Sandra Day O’Connor College of Law, where he received his J.D. in 2020. He also holds a Master of Science and Technology Policy (2017) and B.S. in Chemistry (2015) from Arizona State University. Walter’s research covers regulatory policy and governance for various emerging technologies and his writing has appeared in forums such as the Food & Drug Law Journal, the Washington Post, and the Journal of Law & the Biosciences.  Read more about his research on AI and Fertility Clinics here: 60 Jurimetrics J. 247 (2020). A lot has changed in the four decades since the first birth from in vitro fertilization (IVF). Many fertility clinics have opened, new methods have emerged, and well over 8 million people have been born through IVF or other assisted reproductive technologies (ARTs). In the last several years, even more changes have become possible –

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