ATTAIN*SG: Achieving Public Trust In AI In Autonomous Vehicles In Singapore
Although Singapore has achieved a high ranking in the Autonomous Vehicle Readiness Index 2020, the…
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Trust In AI At Workplaces
The advancement of computing capacities has facilitated artificial intelligence (AI) systems to play an active…
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Trust Experiments – Measuring Trust in AI As Actions, What Raises And Reduces Trust, And What Innovators And Organisations Can Do To Design Future Trusted AI
Trust in AI is a topic that has been on the rise since AI-enhanced technologies…
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Preparing For The Era of AI-powered Synthetic Advertising: Theoretical Development, Practical And Policy Recommendations
The recent technological innovations in artificial intelligence (AI) and machine learning are transforming the landscape…
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Automating Truth & Accountability? Public Attitudes Toward AI And Human-Machine Communication In Singapore
This research project examines Singaporeans’ attitudes, perceptions, and expectations of AI in Singapore, with a…
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Governance And Policy Design Lessons For Building Trust In AI: Perspectives From Singapore And Asia
The proliferation of artificial intelligence (AI) systems has led to disruptive changes impacting daily life,…
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Mandated Vs. Autonomous AI Use: An Empirical Examination On Worker’s Labor Outcomes And Social Welfare
Due to AI’s computation power, scalability, and cost efficiencies, algorithmic management (i.e., the managerial role…
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To Guard Against AI Attacks, First Think Like a Baddie
In 1947, British mathematician and wartime codebreaker Alan Turing — often considered the father of…
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Intelligent Telephone Triage in Pre-Hospital
The project aims to address the rising demand of pre-hospital emergency care (PEC) service by…
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Apache Superset: An Open-Source Visualization Tool
The articles document the views of the DataOps apprentices views and opinions on Apache Superset…
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Creating robots that are clever communicators
Communication — what information to convey, when and how to do so — is a…
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On the Completeness of Self-Supervised Learning: Group Theory, Causality, and their Combinations
In this project, we aim to answer the following three fundamental questions in self-supervised learning…
