Gender Bias and Discrimination in Data
Gender Bias and Discrimination in Data
Data is a crucial tool in today’s workplaces – but it can often be skewed in ways that reinforce gender biases. This Melbourne MicroCert is ideal for professionals from any sector seeking the tools to understand how data can hold inherent bias, and how this impacts organisational decision making. Explore…
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COURSE DESCRIPTION
Data is a crucial tool in today’s workplaces – but it can often be skewed in ways that reinforce gender biases. This Melbourne MicroCert is ideal for professionals from any sector seeking the tools to understand how data can hold inherent bias, and how this impacts organisational decision making. Explore the nexus of gender and technology: Drawing on social science perspectives, you’ll explore the intrinsic gender inequalities that exist within our broader society. Consider how these are reflected in AI and other technologies. Understand how data influences workplace decision making: Recognise data’s value in the workplace, and consider how it can be applied to drive effective decision making. Examine how gender bias and discrimination can be embedded within data and tech used by organisations, and explore the unintended impacts this may have. Discover the tools to identify biases in data: Understand how gender bias can be reinforced during data collection, analysis and interpretation. Gain a critical framework to assess the quality of data and its sources, to identify potential bias. Apply your knowledge to your own workplace: Putting your new knowledge into practice, you’ll examine how data is used in your own organisation. You’ll demonstrate how to identify the potential bias that exists within it, and consider how to make more gender-inclusive data-driven decisions.
Skills and learning outcomes: By the end of this course, you’ll have gained a deeper insight into how biases can become embedded in data. You’ll be able to: Critically evaluate gender bias and discrimination in AI and data used in workplace contexts; Critically analyse ethical implications arising with the use of data; Identify and evaluate diverse data used in various workplace contexts.
EDUCATIONAL INSTITUTION
Established in 1853, the University of Melbourne enjoys an outstanding reputation with world rankings, consistently being placed as Australia’s leading comprehensive research-intensive university, and is one of the world’s top 50 (as per Times Higher Education World University Rankings 2015 – 2016 and Academic Ranking of World Universities 2015). There are over 80 different undergraduate study areas and over 270 graduate courses at Melbourne for students to choose from. The University has extensive global networks and has seven campus locations across Melbourne and rural Victoria.
