As artificial intelligence (AI) gains momentum, understanding the challenges and opportunities created by AI is crucial. Numerous questions arise regarding the use of AI, which can be seen as an object of regulation by lawyers, but also as a useful tool for law enforcement. Notwithstanding the advances involved in AI, its use also raises moral and ethical issues, in addition to legal issues.
This interdisciplinary course offers a dual approach to artificial intelligence through the eyes of an economist and a lawyer.
Different questions will be addressed, such as:
The objective of this course is to give an overview of the many interesting intersections between AI, economics and the law. This is an emerging, multidisciplinary and multinational area. Several practical cases will be investigated.
The course will consist of a mix of conventional lectures (presentation and discussion of concepts, theoretical frameworks, research results, etc.) mingled with interactive sequences, such as case studies. The summer school will end with debates and verbal jousts.
Professor Dov Greenbaum teaches law at the Interdisciplinary Center Herzliya, a private university in Israel. He is also the Director of the Zvi Meitar Institute for Legal Implications of Emerging Technologies. Concurrently, he is also a researcher in the department of Molecular Biophysics and Biochemistry at Yale University. Prof. Greenbaum has degrees and post-doctoral fellowships from Yeshiva University, Yale University, University of California, Berkeley, ETH Zurich and Stanford University.
In addition to his academic affiliation and training, he is also an intellectual property attorney (California & USPTO), with experience in the fields of biopharmaceutical litigation, and Hi-Tech patent drafting and prosecution, including drafting in the fields of robotics, software, computer hardware and defense.
In addition to his lecturing abroad, Professor Greenbaum has also taught a number of courses at Singapore Management University.
Quentin Lippmann is Associate Professor at the University of Paris Panthéon Assas, research fellow at the Paris Research Center in Law and Economics CRED and lecturer at the University of Essex.
His research analyzes lawmaking and the impact of public policies. He uses state-of-the-art empirical methods related to machine learning, natural language processing and causal inference in order to analyze large data sets. His research has been published in peer-reviewed international journals such as the Journal of Public Economics, the Journal of Economic History or The Economic Journal.
In addition to his research, Prof. Lippmann is used to teaching artificial intelligence methods and its consequences on the legal sector in different curriculums.