algorithms

Report

Why ethics, diversity in hiring & implicit bias trainings aren't enough
22 May 2019
39

This paper moves past conversations of implicit bias to think about racism in tech at a systems-level. The authors offer strategies grounded in intellectual understanding, emotional intelligence, and a commitment to take action.

Report

25 Mar 2019
100

As algorithms enter increasingly sensitive areas of our lives, we need to have meaningful accountability for those who create and deploy algorithmic decision systems, especially in areas where decisions have a significant impact on individuals.

Report

9 Dec 2018
113

This report explores how predictive tools affect equity throughout the entire hiring process. It examines some popular tools that many employers currently use, and offers recommendations for further scrutiny and reflection. It concludes that without active measures to mitigate them, bias will arise in predictive...

Journal article

23 Aug 2018
45

This article examines the primary ways in which algorithmic political communication—organized by automated scripts on social media—may undermine elections in democracies.

Report

18 Apr 2018
263

Algorithmic decision-making is becoming more common every day. Increasingly, important decisions that affect people’s lives are governed by datasets that are too big for an individual to process.

Guide

7 Mar 2018
90

Members of the Victorian Parliament have established an All-Party Group on Artificial Intelligence (AI) to learn more about this technology and the impacts it will have on Victorians in the future. This primer provides a basic explanation of some of the key issues surrounding AI....

Report

26 Feb 2018
16

Automated decisions are increasingly part of everyday life, but how can the public scrutinize, understand, and govern them? This report maps out the landscape, providing practical examples and a framework to think about what has worked.

Report

8 Feb 2017
77

Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could...

Report

1 Jul 2015
6

This short report comes out of a workshop exploring the capabilities and limitations of machine learning algorithms. Rather than a complete resource looking at the specific capabilities of different algorithms, this report is an introduction to some of the current capabilities and limitations in the...

Overview

 

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