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Full-Text Articles in Social and Behavioral Sciences

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh Apr 2024

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate an automated pipeline for discovering significant topics from legal decision texts by passing features synthesized with topic models through penalized regressions and post-selection significance tests. The method identifies case topics significantly correlated with outcomes, topic-word distributions which can be manually interpreted to gain insights about significant topics, and case-topic weights which can be used to identify representative cases for each topic. We demonstrate the method on a new dataset of domain name disputes and a canonical dataset of European Court of Human Rights violation cases. Topic models based on latent semantic analysis as well as language …


Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay Jun 2023

Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay

Research Collection Yong Pung How School Of Law

With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how …


Gauging The Acceptance Of Contact Tracing Technology: An Empirical Study Of Singapore Residents’ Concerns With Sharing Their Information And Willingness To Trust, Ee-Ing Ong, Wee Ling Loo Jun 2022

Gauging The Acceptance Of Contact Tracing Technology: An Empirical Study Of Singapore Residents’ Concerns With Sharing Their Information And Willingness To Trust, Ee-Ing Ong, Wee Ling Loo

Research Collection Yong Pung How School Of Law

In response to the COVID-19 pandemic, governments began implementing various forms of contact tracing technology. Singapore’s implementation of its contact tracing technology, TraceTogether, however, was met with significant concern by its population, with regard to privacy and data security. This concern did not fit with the general perception that Singaporeans have a high level of trust in its government. We explore this disconnect, using responses to our survey (conducted pre-COVID-19) in which we asked participants about their level of concern with the government and business collecting certain categories of personal data. The results show that respondents had less concern with …


Simulating Subject Communities In Case Law Citation Networks, Jerrold Tsin Howe Soh Jul 2021

Simulating Subject Communities In Case Law Citation Networks, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate generative models for case law citation networks that account for legal authority, subject relevance, and time decay. Since Common Law systems rely heavily on citations to precedent, case law citation networks present a special type of citation graph which existing models do not adequately reproduce. We describe a general framework for simulating node and edge generation processes in such networks, including a procedure for simulating case subjects, and experiment with four methods of modelling subject relevance: using subject similarity as linear features, as fitness coefficients, constraining the citable graph by subject, and computing subject-sensitive PageRank scores. …


Why Do Robots Have Smiley Faces?, Mark Findlay Jun 2021

Why Do Robots Have Smiley Faces?, Mark Findlay

Research Collection Yong Pung How School Of Law

The author discussed why engineers and designers provide machines with the semblance of friendliness, and why it takes more than that for humans to trust AI. The ground-breaking AI in community research and policy initiative by CAIDG, supported by the National Research Foundation Singapore under its Emerging Areas Research Projects Funding Initiative, seeks to understand how and why trust can be established when humans and machines come together.


Revisiting The Law Of Confidence In Singapore And A Proposal For A New Tort Of Misuse Of Private Information, Cheng Lim Saw, Zheng Wen Samuel Chan, Wen Min Chai Oct 2020

Revisiting The Law Of Confidence In Singapore And A Proposal For A New Tort Of Misuse Of Private Information, Cheng Lim Saw, Zheng Wen Samuel Chan, Wen Min Chai

Research Collection Yong Pung How School Of Law

This article critically examines the recent Court of Appeal decision in I-Admin (Singapore) Pte Ltd v Hong Ying Ting [2020] 1 SLR 1130 and its implications for the law of confidence. The article begins by setting out the decision at first instance, and then on appeal. It argues that the Court of Appeal’s “modified approach” fails to meaningfully engage the plaintiff ’s wrongful gain interest and places the law’s emphasis primarily, if not wholly, on the plaintiff ’s wrongful loss interest. The new framework also appears to have been influenced by English jurisprudence, which has had a long but unhelpful …


Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay Jul 2020

Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay

Research Collection Yong Pung How School Of Law

The Centre for AI and Data Governance (CAIDG) at Singapore Management University (SMU) has embarked over past months on a programme of research designed to confront concerns about the pandemic and its control. Our interest is primarily directed to the ways in which AI-assisted technologies and mass data sharing have become a feature of pandemic control strategies. We want to know what impact these developments are having on community confidence and health safety. In developing this work, we have come across many myths that need busting.


Personal Data Protection Act 2012: Understanding The Consent Obligation, Man Yip Sep 2017

Personal Data Protection Act 2012: Understanding The Consent Obligation, Man Yip

Research Collection Yong Pung How School Of Law

The Personal Data Protection Act 20121 (“PDPA”) provides the baseline standards of protection of personal data and works in tandem with existing law to provide comprehensive protection. The birth of the legislation clearly signals Singapore’s commitment to protect the collection, use and disclosure of personal data in the age of big data and its awareness of the importance of such protection in strengthening Singapore’s position as a leading commercial hub. Significantly, the PDPA protection model balances “both the rights of individuals to protect their personal data” against “the needs of organisations to collect, use or disclose personal data for legitimate …