Contact Us

Give us a call or drop by anytime, we endeavor to answer all inquiries within 24 hours.


Find us

PO Box 16122 Collins Street West Victoria, Australia

Email us /

Phone support

Phone: + (066) 0760 0260 / + (057) 0760 0560

Machine Learning

  • March 1, 2023
  • Kaleigh O'Merry

Responsible AI: Privacy and Fairness in Decision and Learning Systems

Differential Privacy has become the go-to approach for protecting sensitive information in data releases and learning tasks that are used for critical decision processes. For example, census data is used to allocate funds and distribute benefits, while several corporations use machine learning systems for criminal assessments, hiring decisions, and more. While this privacy notion provides strong guarantees, we will show that it may also induce biases and fairness issues in downstream decision processes. These issues may adversely affect many individuals’ health, well-being, and sense of belonging, and are currently poorly understood.

In this talk, we delve into the intersection of privacy, fairness, and decision processes, with a focus on understanding and addressing these fairness issues. We first provide an overview of Differential Privacy and its applications in data release and learning tasks. Next, we examine the societal impacts of privacy through a fairness lens and present a framework to illustrate what aspects of the private algorithms and/or data may be responsible for exacerbating unfairness. We hence show how to extend this framework to assess the disparate impacts arising in Machine Learning tasks. Finally, we propose a path to partially mitigate these fairness issues and discuss grand challenges that require further exploration.

Read More
  • November 4, 2021
  • pendari1080

I Am Data Science | David Danks

Read More
  • October 20, 2021
  • pendari1080

I Am Data Science | Bradley Voytek

Read More
  • September 29, 2021
  • pendari1080

Data Science Insights Speaker Series: Lily Weng

Read More