Overview
In the digital age, how we communicate, conduct business and socialize is revolutionizing our world. The explosion of data-driven and artificial intelligence technologies are transforming the way we live and work, altering relationships between government and citizens, businesses and consumers, researchers and the researched, public and private sectors, and individuals, … For more content click the Read More button below.
While data driven and algorithmic technologies can potentially help grow the economy, improve health and education, support national security, protect the environment, enable more energy efficiency, drive innovation and progress, and support more resilient, sustainable communities and cultures, there is a growing need to identify and address the risks associated with their design, development and use. In this unit the problems associated with the application of these information technologies in government and big business that leads to greater surveillance of citizens by states and consumers by businesses, disempowerment of individuals and vulnerable communities, increased discrimination, threats to social inclusion, social justice, human and civil rights, self-determination and privacy, and widens the divide between the data haves and have-nots will be explored, alongside the emerging ethical, legislative and strategic frameworks that aim to address these concerns.
Offerings
S1-01-CLAYTON-ON-CAMPUS
S1-01-MALAYSIA-EVENING
SSB-01-CLAYTON-ON-CAMPUS
Requisites
Prohibition
Contacts
Chief Examiner(s)
Associate Professor Joanne Evans
Unit Coordinator(s)
Dr Prabha Rajagopal
Learning outcomes
On successful completion of this unit, you should be able to:
1.
Describe and analyse digital media/data ecosystems;
2.
Analyse issues relating to the benefits and risks of big data in society;
3.
Explain key ethical design principles and their relevance to the design and development of data-driven and algorithmic technologies;
4.
Investigate how rights in data, rights to self determination, privacy rights, access rights, discovery rights, IP and copyright apply in different contexts/scenarios;
5.
Develop recommendations for socio-legal and policy frameworks and strategies for transparency, good governance, accountability and ethical practice in data management and use, including data rights management;
6.
Analyse needs and issues relating to the use big data to support resilient, sustainable communities and cultures.
Teaching approach
Enquiry-based learning
Active learning
Assessment
1 - Assignment 1
2 - Assignment 2
3 - Assignment 3
4 - Assignment 4
5 - Assignment 5
Scheduled and non-scheduled teaching activities
Lectures
Tutorials
Workload requirements
Workload
Learning resources
Required resources
Availability in areas of study
Archives and recordkeeping
Data science
Library and information science
Data science
Library and information science