Books

1.	Marcelo Corrales Compagnucci, Nikolaus Forgo, Toshiyuki Kono, Shinto Teramoto, Erick P.M. Vermeulen (Eds.), Legal Tech and the New Sharing Economy, Springer, 2020.02.

Reports

1.	Teramoto, Shinto, Protection of Patent License against Subsequent Patent Holder in Japan, The University of Tokyo Law Review, Vol.3, pp.191-213 (2008), 2008.08.

Papers

1.	Shinto Teramoto, Shizuo Kaji, Shota Osada, The Internal Network Structure that Affects Firewall Vulnerability, The Law and Ethics of Data Sharing in Health Sciences (Perspectives in Law, Business and Innovation) (English Edition), 173-198, 2024.01, [URL], Sharing extensive healthcare information is essential for the advancement of medicine and the formulation of effective public health policies. However, it often contains sensitive or personal information, or trade secrets. Certain safety measures are needed to strike a balance between the sharing of data and the protection of such information. A firewallFirewall is one of the major safety measures designed to prevent the delivery of protected information by severing harmful connections or limiting the formation of new connections between relevant parties in an information exchange network. Although very simple models suggest firewallFirewall vulnerabilities, such models often oversimplify real-world scenarios, neglecting factors like internal connections among nodes and the influence of other information held by nodes. Therefore, we propose several improved models and use them to explore some of the reasons why firewalls fail. Our study finds that firewallsFirewall are less effective as the number of network nodes increases, and that both high- and low-degree nodes pose non-negligible risks. The study also raises awareness about the role of internal monitors in preventing leaks. The effectiveness of information leakage control could be increased with the monitor's proximity to the information source. This necessitates a greater focus on internal monitoring, perhaps using information and communication technology..
2.	Teramoto, Shinto, Lawyers’ Views on Autonomous Driving, Legal Tech and the New Sharing Economy, 169-178, 2020.02.
3.	Teramoto, Shinto, Simulating the impact of intellectual property rights on the innovation process, Proceedings of the 11th International Conference on Innovation and Management, 1099-1107, 2014.11, [URL].
4.	寺本振透, Protect Network Neutrality against Intellectual Property Rights - a legal and social network perspective, 2012 International Conference on Knowledge, Culture and Society (Jeju Island, South Korea)／International Proceedings of Economics Development and Research, vol. 42, pp. 7-11, 2012.06.
5.	Shinto Teramoto, Copyrightability and Scope of Protection for Works of Utilitarian Nature Under Japanese Law, Max-Planck-Institute for Foreign and International Patent, Copyright, and Competition Law; International Review of Industrial Property and Copyright Law (IIC), Vol. 28, No. 1, pp.51-74, 1997.01.

Presentations

1.	Shinto TERAMOTO, Designing a Law to Promote the Sharing of Medical and Health Records: Striking a Balance between Protection of Personal Information and Promotion of Healthcare — Using a token to encourage citizens to utilize PHR, Ninth International Conference On Health, Wellness & Society, 2019.09, The digitalized medical and health records (HR) of citizens are stored in Electronic Health Records (EHR) and Personal Healthcare Records (PHR). The quality of medical care will be improved if physicians can access the past HR of patients. Also, redundant medical examinations will be avoided, which will result in medical cost savings. A user-friendly service that enables individual citizens to share their HR with their physicians is essential to achieve the aforementioned purpose. The involvement of private businesses is expected to make such service available to citizens. However, recently, many citizens have been frustrated with the collection and control of personal data by the giants of ICT industries, and, in response, governments are establishing rules to regulate collection and handling of personal data. In contrast, sharing HR on the infrastructure provided by private businesses presupposes that these private providers handle medical and health records that fall within the most delicate types of personal data. We have to design and implement laws that promote the sharing of HR while ensuring the protection of personal data. There are a number of issues that need the intervention of laws, to ensure the confidentiality, integrity, availability and portability of HR, compatibility between EHR and PHR, and between multiple PHRs, and to ensure the portability of records between a PHR service provided by one company and a PHR service provided by a different company. The author discusses and proposes the requirements of such laws and proposes a practicable legal design to promote the sharing of HR..
2.	Shinto TERAMOTO, Designing a Smarter Law that Enables Smart Contracts that are Useful in Everyday Life, Emerging Legal Issues for Artificial Intelligence -- Legal Liability, Discrimination, Intellectual Property Rights and Beyond, 2018.11, Suppose that a supplier of goods or services and a consumer enter into a contract for goods or services. If the terms and conditions of the contract are prefixed by the supplier unilaterally and the choice of the consumer is just to accept or decline, it is very easy to implement an automatic contracting process for them. Everyday, we experience such simple and automated contracting processes when we ride on the subway and buses using IC cards. However, in many cases, the terms that each of the parties to a contract deems acceptable in advance are very abstract and have some flexibility. Such anticipated terms may include the conditions most preferred by a party to those least preferred. There is no guarantee that the resulting contract will satisfy both parties. The terms and conditions of the contract to be executed are likely to have multiple alternatives. The finally decided terms just represent one of many possible alternatives. It would be difficult for such terms to completely satisfy both parties. In order to make smart contracts widely implemented in our society, a system that automatically matches the terms and conditions of both parties to a contract (hereinafter, referred to as a smart contract platform) must be able to establish a contract with fair and reasonable terms and conditions that can satisfy both parties in such complex situation. The currently spreading use of Artificial Intelligence (A.I.) using deep learning is likely to make such a smart contract platform realistic. However, suppose that both parties to a contract could have gone through a human to human negotiation, and that the final terms are not preferable or disadvantageous to one of the parties. Possibly, such disadvantaged parties would try to persuade themselves that such undesirable or disadvantageous results were caused by their or their agent’s incompetence. However, if such undesirable or disadvantageous terms are caused automatically by a smart contract platform, the disadvantaged party may feel great frustration because they can hardly find a reason to blame themselves. Also, it is possible for a smart contract platform to manipulate the terms of a contract by utilizing the very wide scope of acceptable terms prefixed by the consumer, thereby, giving an advantage to the supplier. Such manipulation will be deemed unfair, even though it does not necessarily constitute fraud. Moreover, if a smart contract platform is provided exclusively by one or a very limited number of companies, the platform may be programmed to be advantageous or disadvantageous to specific or specific categories of suppliers. For example, a smart contract platform used to enable electricity supply companies and consumers who want to quickly charge their electric vehicles (EVs) to contract automatically may be programmed to increase the probability that established and conventional electricity supply companies can contract with consumers within the scope of the terms prefixed by the consumers. It is also probable that a smart contract platform will apply different terms and conditions, such as by giving priority to contracts with consumers of certain electricity supply companies, and give advantages to some of them, and cause disadvantages to others. The implementation of smart legal tools in the society is likely to require us to design legal tools such as the obligatory disclosure of an automatic contracting process, auditing or monitoring by a third party, and competition among multiple smart contract platform providers, to ensure a fair smart contracting process, and also to prevent misappropriation of smart contract platforms for unfair purposes. However, designing such legal tools is likely to cause another problem. A law must be enforced based on the evidence required by the law itself. If a smart contract platform is organized and operated by a fixed algorithm that does not change and update itself automatically, it would be plausible to prove that the platform was programmed by ab human to cause unfair results. However, suppose that an A.I. implemented in a smart contract platform keeps learning and constantly and incrementally updates itself. It is improbable that lawyers could prove that a smart contract platform producing unfair results was really programmed by a human to cause such results. To tackle such problems would also be the duty of lawyers..
3.	Teramoto, Shinto, Adjusting the strength of intellectual property rights to allow healthy competition,Istanbul, World Conference on Technology, Innovation and Entrepreneurship, 2015.05, The legal protection of a technology by means of patents and other intellectual property rights (“IPRs”) gives the right holder the power to exclude its competitors in the market where the products and/or services embodying such technology are diffused. Each supplier in the market faces the uncertainty of whether it can survive the competition. However, IPRs are likely to encourage the right holder to enter the market and become the forerunner, by alleviating such right holder’s uncertainty. It is likely that some of the followers, including local entrepreneurs in developing countries, may improve the forerunner’s technology and implement such improvements in better products or services. However, it is also probable that the IPRs of the forerunner will inhibit the further advancement of technologies and products or services, by obstructing the activities of the innovative followers in the market. The author assesses the degree of negative impact of the forerunner’s IPRs that inhibit any healthy competition between the forerunner and the followers by using a simple network model, which comprises of consumers and competing suppliers. Moreover, based on the analysis using the said network model, the author discusses how we can design an intellectual property law scheme that can restrict the disadvantages caused by IPRs, while maintaining their advantage in encouraging entrepreneurs to enter the market. By means of a discussion using a network model that represents the specific aspects of the market, the author tries to assess the pros and cons of IPRs, especially in the markets of developing countries. The discussion suggests that the strength of IPRs should be adjusted to allow healthy competition between the forerunner and followers in order to give a reasonable degree of benefit to consumers..
4.	Teramoto, Shinto, HOW THE LEGAL SYSTEM BENEFITS FROM SOCIAL SCIENCE, ICSSH 2015 : 2015 4th International Conference on Social Science and Humanity , 2015.04.
5.	Teramoto, Shinto, Who is best able to diffuse innovation: Government, Academia, Industry, or the Inventor?, The 9th Annual Kyushu University Law Conference "Understanding Regulatory Choice and New Economic Zones", 2015.01, [URL].
6.	Teramoto, Shinto, "Legal Regime and Practice of IP Security Rights in Japan", UNCITRAL - FSC - Dankook Univ. Joint Conference Challenges of Technology Finance for a Creative Economy - Practical Issues on Security Rights in Intellectual Property -, 2014.11.
7.	Teramoto, Shinto, Simulating the impact of intellectual property rights on the innovation process, 11th International Conference on Innovation and Management, Vaasa, Finland, 2014.11.
8.	Teramoto, Shinto, The Current Development of the Japanese e-Government Platform, 2014 International Cyber Law Seminar on Trustworthiness of The National e-ID in Accessing e-Public Services and Supporting e-Commerce, 2014.03.
9.	寺本 振透, What Makes Medical Records Safe in the Cloud?, 2014 Annual Kyushu University Law Conference: Social Capital, Networks, Law, 2014.02.
10.	寺本 振透, Assessing the Role of Intellectual Property Laws from a Social Network Perspective, ARS '13 International Workshop "Networks in space and time: Models, Data collection and Applications", 2013.06.

I provide education for LLM/LLD students in intellectual property law and a wide range of practical law fields, particularly by adapting social network analysis methods. Additionally, I offer practical education for LLM/law school students, focusing on the identification of necessary facts and the allocation of the burden of proof. Furthermore, I conduct training for undergraduate law students aspiring to become legal professionals, teaching them how to interpret civil judgments based on the required facts.

Moreover, I provide training for business school (QBS) students, aiming to enable business professionals to effectively utilize legal expertise. Additionally, I offer education for students of the Mathematics for Innovation Graduate School of Excellence on the application of mathematics in the field of law. I also practically introduce the use of generative AI to reproduce or construct rules (legal provisions, internal regulations, etc.) from the required facts.