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Introducing Project: Guidelines for the Ethical and Practical Use of Generative AI for University Students

by Trung Nguyen | Jun 5, 2024 | Materials, News, Research

We are excited to showcase a summer research project by our student Terence Zhang with guidance from Dr Thomas Lacombe. showcase a summer research project led by our student, Terence Zhang, under the expert guidance of Dr. Thomas Lacombe. This initiative is a part of...
Student’s Presentation in the 4th interRAI Annual Knowledge Exchange

Student’s Presentation in the 4th interRAI Annual Knowledge Exchange

by Trung Nguyen | May 22, 2024 | Materials, News, Opportunities, Research

Our PhD student, Cristian Gonzalez Prieto, alongside Associate Professor Sarah Cullum from the Faculty of Medical and Health Sciences at the University of Auckland, recently presented his research at the 4th interRAI Annual Knowledge Exchange. His talk, titled...
Research Project: Regional Bias in Monolingual English Language Models

Research Project: Regional Bias in Monolingual English Language Models

by Trung Nguyen | Apr 10, 2024 | News, Research

This study explores whether English language models (LLMs) contain biases towards specific regions, and how these biases affect their performance in tasks like Natural Language Processing (NLP). By looking into subtle differences in word meanings across regions,...
Research Project: Machine Learning to Predict Severe Acute Pancreatitis

Research Project: Machine Learning to Predict Severe Acute Pancreatitis

by Trung Nguyen | Mar 6, 2024 | News, Research

Supervised by Professor Gill Dobbie, Dr Vithya Yogarajan, and Professor John Windsor (Faculty of Medical and Health Sciences, the University of Auckland), this project seeks to leverage machine learning for healthcare. Title: Machine Learning to Predict Severe Acute...
Research Project: How do we know those Artificial Intelligence models are fair? An overview of bias evaluating frameworks for AI models

Research Project: How do we know those Artificial Intelligence models are fair? An overview of bias evaluating frameworks for AI models

by Trung Nguyen | Mar 1, 2024 | Materials, News, Research

Under the supervision of Professor Gill Dobbie and Dr Vithya Yogarajan, this research project by Kejun Dai reviews frameworks for evaluating bias in artificial intelligence models. Situated within the broader “Ethical Computing” initiative led by Professor...
Research Seminar: Challenges in Annotating Datasets to Quantify Bias

Research Seminar: Challenges in Annotating Datasets to Quantify Bias

by Trung Nguyen | Nov 29, 2023 | Materials, News, Research

Gill delivered a presentation at the ARC Training Centre in Data Analytics for Resources and Environments (DARE), The University of Sydney, where she shared insights from her research focused on quantifying bias in language models with the ultimate goal of debiasing....
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Recent Posts

  • Research Opportunities of Debiasing Large Language Models
  • Introducing Project: Guidelines for the Ethical and Practical Use of Generative AI for University Students
  • Introducing Centre for Data Ethics and Innovation
  • Student’s Presentation in the 4th interRAI Annual Knowledge Exchange
  • Recap of Artificial Intelligence Researchers Association (AIRA) Annual Conference

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