The Evolution of Property Law in Taiwan

Chang, Yun-Chien

doi:10.1017/9781316658925.009

Cited by 6 publications

(1 citation statement)

References 33 publications

(20 reference statements)

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“…Currently, self-driving vehicles are still in experimental stages, which is insufficient to support the advancement of intelligent transportation. It is imperative to adapt and amend regulations such as the Road Traffic Management and Penalty Act and the Highway Act continuously to facilitate the growth of the smart transportation industry [25].…”

Section: Strengthening the Legal Framework For Autonomous Vehiclesmentioning

confidence: 99%

Impact of Artificial Intelligence Development on Taiwan's Legal System and Legislation in the Post-Pandemic Era

Chang

2024

ijmst

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In the post-pandemic era, AI development has entered a new phase, driven by the emergence of generative AI and the increasing prevalence of information and communication technologies represented by 5G. In the dawn of the AI age, significant shifts are underway, heralding a new era of transformation. This article explores the impact of AI advancement on Taiwan's legal framework during this era. It delves into both historical developments and prospective transformations and begins with a retrospective analysis of Taiwan's AI-related legislation before the post-pandemic era. Subsequently, it focuses on a critical aspect of Taiwan's AI legal framework during this era, including two pivotal documents in Taiwan: the "AI Basic Act" and the " Reference Guidelines for the Use of Generative AI in the Executive Yuan and its Subordinate Agencies and Affiliated Institutions”. Both have recently garnered widespread attention, marking a crucial step towards navigating the evolving landscape of artificial intelligence. Finally, this article offers insights into the prospective evolution of Taiwan's legal landscape pertaining to AI. The formulation of the "AI Basic Act" is pivotal in setting fundamental norms for AI development in Taiwan. This draft is significant with its 24 articles aimed at fostering a trustworthy environment and promoting diverse AI utilization. It ensures that Taiwan's high-tech advancements align with global standards. On the other side, the “Reference Guidelines for the Use of Generative AI” are designed to regulate the administrative agencies in response to the widespread application of generative AI. Furthermore, since 2023, the Personal Data Protection Act and Criminal Code, among others, have all been amended to include provisions related to AI technology, reflecting the apparent impact of AI on the legal system. Given the novelty of AI in society, prioritizing the creation of a basic act is crucial. Such legislation defines AI in Taiwan, establishes ethical principles, outline development directions, and provides fundamental norms. It will serve as a cornerstone for shaping and revising other policies and laws to navigate the evolving landscape of AI.

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Section: Strengthening the Legal Framework For Autonomous Vehiclesmentioning

confidence: 99%

Impact of Artificial Intelligence Development on Taiwan's Legal System and Legislation in the Post-Pandemic Era

Chang

2024

ijmst

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Speedy Adjudication in Hard Cases and Low Settlement Rates in Easy Cases

Hubbard

2019

Selection and Decision in Judicial Process Around the World

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New Empirical Tests for Classic Litigation Selection Models: Evidence from a Low Settlement Environment

Hubbard

2021

American Law and Economics Review

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Law and economics theorists have long advanced theories of litigation and settlement, including the canonical Landes–Posner–Gould (LPG) and Priest and Klein (PK) models. Famously, PK predict that, as settlement rates rise, plaintiff win rates approach 50%. So far, though, empirical testing of these models has been hampered by two major limitations: first, these models make clear predictions about the effect of case stakes on settlement rates and plaintiff win rates, but lack of reliable data on stakes means these predictions have gone untested. Second, most of the studies have used data from the United States, a high-settlement, high-litigation-costs setting, and the generalizability of these models to other institutional settings has been less explored. We use a novel data set of Taiwanese court data to test previously untested predictions of the LPG and PK models and explore the extent to which these models apply to a low-settlement, low-litigation-cost setting. We find strong support for the predictions of the LPG model that we test but at best weak support for the 50% hypothesis of the PK model, consistent with recent research suggesting that the hypothesis will have limited applicability in a low-settlement, low-litigation-cost environment. These results suggest directions for research and provide guidance to policy on the role that stakes play in the filing and settlement of claims.

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The Evolution of Property Law in Taiwan

Cited by 6 publications

References 33 publications

Impact of Artificial Intelligence Development on Taiwan's Legal System and Legislation in the Post-Pandemic Era

Impact of Artificial Intelligence Development on Taiwan's Legal System and Legislation in the Post-Pandemic Era

Speedy Adjudication in Hard Cases and Low Settlement Rates in Easy Cases

New Empirical Tests for Classic Litigation Selection Models: Evidence from a Low Settlement Environment

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