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Trust In Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay Mar 2022

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

Centre for AI & Data Governance

Pivoting on the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the 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 trust …


Covid-19 Responses: A Living Archive, Centre For Ai & Data Governance (Smu) Jul 2021

Covid-19 Responses: A Living Archive, Centre For Ai & Data Governance (Smu)

Centre for AI & Data Governance

COVID-19 has reshaped our lives, the global economy, and the geopolitical landscape in unimaginable ways. Socio-economic disruptions are keenly felt across every sector in every country and irreversible damage has been done to our collective health and livelihood opportunities. From a health crisis, the pandemic has insidiously unfolded into a human one - where efforts taken to contain the virus have resulted in the targeting and/or neglect of vulnerable populations, the exacerbation of structural inequalities, and the pushback against fundamental rights and freedoms. The prolonging of this health crisis has also accentuated the need for better governance as questions of …


Artificial Intelligence And Moral Rights, Martin Miernicki, Irene (Huang Ying) Ng Mar 2021

Artificial Intelligence And Moral Rights, Martin Miernicki, Irene (Huang Ying) Ng

Centre for AI & Data Governance

Whether copyrights should exist in content generated by an artificial intelligence is a frequently discussed issue in the legal literature. Most of the discussion focuses on economic rights, whereas the relationship of artificial intelligence and moral rights remains relatively obscure. However, as moral rights traditionally aim at protecting the author’s “personal sphere”, the question whether the law should recognize such protection in the content produced by machines is pressing; this is especially true considering that artificial intelligence is continuously further developed and increasingly hard to comprehend for human beings. This paper first provides the background on the protection of moral …


Towards A Data-Driven Financial System: The Impact Of Covid-19, Nydia Remolina Jul 2020

Towards A Data-Driven Financial System: The Impact Of Covid-19, Nydia Remolina

Centre for AI & Data Governance

The COVID-19 outbreak has a growing impact on the global economy and the financial sector, which plays a critical role in mitigating the unprecedented macroeconomic and financial shock caused by the pandemic. Given the unprecedented nature of the current crisis, financial regulators and supervisors, central banks, along with governments and legislatures face challenges to maintain financial stability, preserve the well-functioning core markets, and ensure the flow of credit to the real economy. Even though the COVID-19 has slowed down our daily lives and stopped the operation of many industries, it did not have the same effect in the data-driven finance …


Regulatory Approaches To Consumer Protection In The Financial Sector And Beyond: Toward A Smart Disclosure Regime?, Nydia Remolina, Aurelio Gurrea-Martinez, Yvonne Ai-Chi Loh, David R. Hardoon May 2020

Regulatory Approaches To Consumer Protection In The Financial Sector And Beyond: Toward A Smart Disclosure Regime?, Nydia Remolina, Aurelio Gurrea-Martinez, Yvonne Ai-Chi Loh, David R. Hardoon

Centre for AI & Data Governance

Traditionally, consumer and data protection policies evolved from issues of consent and information disclosure. The purpose of these regulatory approaches is the protection of consumers by reducing some contracting failures, such as asymmetries of information and a lower bargaining power, especially in transactions involving complex issues such as financial products and sensitive personal data. In the past, regulators have responded to privacy and consumer protection by adopting what this paper refers to as an “imperfectly informed regime”, in which consumers do not receive full information about the risks associated with their decisions, even if they are still protected through a …


Regulating Personal Data Usage In Covid-19 Control Conditions, Mark Findlay, Nydia Remolina May 2020

Regulating Personal Data Usage In Covid-19 Control Conditions, Mark Findlay, Nydia Remolina

Centre for AI & Data Governance

As the COVID-19 health pandemic ebbs and flows world-wide, governments and private companies across the globe are utilising AI-assisted surveillance, reporting, mapping and tracing technologies with the intention of slowing the spread of the virus. These technologies have capacity to amass and share personal data for community control and citizen safety motivations that empower state agencies and inveigle citizen co-operation which could only be imagined outside times of real and present personal danger. While not cavilling with the short-term necessity for these technologies and the data they control, process and share in the health regulation mission (provided that the technology …


Global Challenges And Regulatory Strategies To Fintech, Aurelio Gurrea-Martinez, Nydia Remolina Apr 2020

Global Challenges And Regulatory Strategies To Fintech, Aurelio Gurrea-Martinez, Nydia Remolina

Centre for AI & Data Governance

The rise of new technologies has changed the operation, regulation and supervision of financial markets, bringing new challenges and opportunities for consumers, regulators, and financial institutions. This Article seeks to explore the most common regulatory strategies used by financial regulators around the world to address the challenges associated with the rise of fintech. These strategies include the imposition of bans, regulatory passivity, adoption of new legislation, permission on a case by case basis, and more interactive approaches such as innovation offices, accelerators and sandboxes. This Article argues that the adoption and desirability of each regulatory approach will depend on a …


Open Banking: Regulatory Challenges For A New Form Of Financial Intermediation In A Data-Driven World, Nydia Remolina Oct 2019

Open Banking: Regulatory Challenges For A New Form Of Financial Intermediation In A Data-Driven World, Nydia Remolina

Centre for AI & Data Governance

Data has taken immense importance in the last years. Consider the amount of data that is being collected worldwide every day, industries are reshaping their activities into a data-driven business. The digital transformation of all industries, portent of the fourth industrial revolution, is creating a new kind of economy based on the datafication of almost any aspect of human social, political and economic activity as a result of the information generated by the numerous daily routines of digitally connected individuals and technology. The financial services industry is part of this trend. Embracing the digital revolution and creating the right foundations …


How To Address The Ai Governance Discussion? What Can We Learn From Singapore’S Ai Strategy?, Nydia Remolina Leon, Josephine Seah Aug 2019

How To Address The Ai Governance Discussion? What Can We Learn From Singapore’S Ai Strategy?, Nydia Remolina Leon, Josephine Seah

Centre for AI & Data Governance

The following research piece explores how Singapore is addressing the AI Governance discussion. First, the document broadly provides some background to the Singapore’s AI strategy; second, it explains exactly what the Model AI Governance Framework is and how Singapore is addressing the AI Governance discussion; third, it compares Singapore’s approach with other jurisdictions’ and how important it is to contribute to the international debate on AI governance; and fourth, the document mentions some challenges ahead and observations on what is missing from current conversations about AI.


Data Regulation With Chinese Characteristics, Henry S. Gao Aug 2019

Data Regulation With Chinese Characteristics, Henry S. Gao

Centre for AI & Data Governance

Data regulation has become a key issue in today’s world. For various reasons, however, it has been challenging to understand data regulations in China, home to the largest e-commerce market in the world. This paper traces the evolution of data and Internet regulation in China, from the early days of the Chinese Internet, to the regulatory turf wars among different agencies, and all the way to the elevation of data and Internet regulation to the level of national security and the rise of a super-agency in charge of the issue in recent years. The paper argues that, the Chinese Internet …


Taxation Of Automation And Artificial Intelligence As A Tool Of Labour Policy, Vincent Ooi, Glendon Goh Feb 2019

Taxation Of Automation And Artificial Intelligence As A Tool Of Labour Policy, Vincent Ooi, Glendon Goh

Centre for AI & Data Governance

Rapid developments in automation technology pose a risk of massdisplacement of human labour, resulting in the need to support and retraindisplaced workers (a negative externality). We propose an “automation tax”that would slow the adoption of automation technology in appropriatecircumstances, giving workers and social support systems time to adapt. Thiscould be easily implemented through changes to the existing schedular systemof depreciation/ capital allowances, reducing the uncertainty of its applicationand implementation costs. Such a system would be flexible enough to keepup with rapid technological developments. Two main dimensions may beadjusted to produce intended distortionary effects: 1) accelerated depreciation,and 2) bonus depreciation. While …


Contracts Formed By Software: An Approach From The Law Of Mistake, Vincent Ooi Feb 2019

Contracts Formed By Software: An Approach From The Law Of Mistake, Vincent Ooi

Centre for AI & Data Governance

A ‘Contracting Problem’ arises when software is used to autonomously enter into contracts without human input. Questions arise as to how and whether there can be an expression of an objective intention to be legally bound. This article considers three leading solutions to the Contracting Problem. The ‘Mere Tools Theory’, which views software as ‘mere tools’ of communication, is too harsh as it binds users to any software malfunction. The Agency Approach, which treats software as Electronic Agents, capable of contracting on behalf of their users, is untenable as it ascribes unrealistic characteristics to software. The article submits that the …