387 citations · 763 across the 8 of their papers we have counts for
15 papers
The Risks of Machine Learning Systems
Samson Tan, Araz Taeihagh, Kathy Baxter
The speed and scale at which machine learning (ML) systems are deployed are accelerating even as an increasing number of studies highlight their potential for negative impact. Ther…
How does fake news spread? Understanding pathways of disinformation spread through APIs
Lynnette H. X. Ng, Araz Taeihagh
What are the pathways for spreading disinformation on social media platforms? This article addresses this question by collecting, categorising, and situating an extensive body of r…
Reliability Testing for Natural Language Processing Systems
Samson Tan, Shafiq Joty, Kathy Baxter +3
Questions of fairness, robustness, and transparency are paramount to address before deploying NLP systems. Central to these concerns is the question of reliability: Can NLP systems…
Regulating human control over autonomous systems
Mikolaj firlej, Araz Taeihagh
In recent years, many sectors have experienced significant progress in automation, associated with the growing advances in artificial intelligence and machine learning. There are a…
Smart City Governance in Developing Countries: A Systematic Literature Review
Si Ying Tan, Araz Taeihagh
Smart cities that make broad use of digital technologies have been touted as possible solutions for the population pressures faced by many cities in developing countries and may he…
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities
Hazel Si Min Lim, Araz Taeihagh
Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart, and sustainable cities. Algorithms form the basis of decisio…