Ethical Computing
  • Home
  • About Us
  • News
  • Research
  • Join Us
  • Materials
Select Page
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....
Project “Teaching Materials for AI Ethics” at Capstone Event

Project “Teaching Materials for AI Ethics” at Capstone Event

by Trung Nguyen | Nov 22, 2023 | Materials, News

Following our recent post, the group of “Teaching materials for AI Ethics” has successfully presented at the Capstone event (photo above). Project description: This year, the team EthicAI developed a resource with real-world use cases of the latest AI...
Capstone Project Showcase: Teaching Materials for AI Ethics

Capstone Project Showcase: Teaching Materials for AI Ethics

by Trung Nguyen | Nov 10, 2023 | Materials, News

This semester, two groups of students from the School of Computer Science Capstone course (COMPSCI 399) worked on a project aiming at developing teaching materials for AI Ethics. The goal was to develop an interactive website that introduces students to the potential...

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

Archives

  • September 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • December 2023
  • November 2023
  • October 2023
  • September 2023
  • August 2023
  • July 2023
  • June 2023
  • March 2023
The University of Auckland | Accessibility | Copyright | Privacy | Disclaimer