Law
Description
This micro-credential examines principles, models and definitions of human and machine intelligence, including consideration of the legal issues arising from the use of artificial intelligence systems, chat bots and other adaptive, quasi-intelligent systems. This offering focuses on the Australian legal system and comparative international issues relating to the way that AI is being designed, developed and deployed in business and government.
Topics
- Introduction to human/machine cognition
- A typology of human/machine cognition
- Legal models in the context of human/machine cognition
- Implications for the use of human/machine cognition in business and government
Learning outcomes
Upon successful completion, enrolees will have the knowledge and skills to:
- Investigate and critically evaluate complex legal problems arising from the use of human/machine cognition.
- Distinguish and evaluate risks relating to the use of human/machine cognition systems.
- Identify and critically assess the legal principles and rules applicable to human/machine cognition.
- Engage in discussions on human/machine cognition in the context of social, financial and global security.
Indicative assessment
1,200 word research essay: 75%; links to Learning Outcomes 1 and 4
400 word-equivalent activity: 25%, links to Learning Outcomes 2 and 3
Assumed knowledge
This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.
Micro-credential stack information
This micro-credential may be undertaken as a stand-alone course or as part of a "stack". The three M-Cs proposed for this “Cyber Law" stack are:
- Introduction to Data and Cyber Law - Associate Professor Philippa Ryan
- Technology and Information Law - Daniel Stewart
- Legal models of Human/Machine Cognition - Associate Professor Will Bateman
Details
Course Code: DATA30
Workload: 43 hours
- Contact hours: 9 hours
- Individual study and assessment: 34 hours
ANU unit value: 2 units
AQF Level: 9
Contact: Associate Professor Will Bateman, ANU College of Law
This Micro-credential is taught at a graduate level. This is not an AQF qualification.
Description
This micro-credential introduces students to cyber law. This course focuses on the Australian legal system and comparative international issues relating to data security, as well as how technology is transforming our society and global relationships. Industry and government need a new breed of professionals who understand the legal, commercial and policy implications arising from the collections and use of personal data.
Topics
- Introduction and fundamentals of cyber law
- Understanding different types and uses of personal data
- Legal implications for the use of personal data in business and government
- A typology of cyber attack
Learning outcomes
Upon successful completion, enrollees will have the knowledge and skills to:
- Critically evaluate complex legal problems arising from the use of the personal data in different contexts
- Identify multiple operational domains created and supported by new technologies and their implications for the use of personal data
- Differentiate between types of risk arising from the use of personal data in business
- Engage in discussions on cyber law in the context of financial, government and global security
Indicative assessment
1,200 word Research Blog: 75%; links to Learning Outcomes 1, 4
400 word-equivalent Quiz; 25%; links to Learning Outcomes 2, 3
Assumed knowledge
This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.
Micro-credential stack information
This micro-credential may be undertaken as a stand-alone course or as part of a "stack". The three M-Cs proposed for this “Cyber Law" stack are:
- Introduction to Data and Cyber Law - Associate Professor Philippa Ryan
- Technology and Information Law - Dr Daniel Stewart
- Legal models of Human/Machine Cognition - Associate Professor William Bateman
Details
Course Code: DATA01
Workload: 43 hours
- Contact hours: 9 hours
- Individual study and assessment: 34 hours
ANU unit value: 2 units
Course Code Level: 8000
Contact: Associate Professor Philippa Ryan, ANU College of Law
This Micro-credential is taught at a graduate level. This is not an AQF qualification.
Description
This micro-credential will look at the various ways in which the legal system seek to maintain the secrecy of information, or encourages its dissemination. It will look at the different ways in which information is treated when held by government as opposed to private entities. It will also use information as a vehicle to examine the law reform process through the responses to the changing way in which information is being generated and viewed in our society.
Topics
- Legal fundamentals of access, collection, use, storage and disclosure of information
- The role of legal systems in freedom of information and secrecy
- Government accountability in its use of information
- Law reform issues in relation to collection and use of information
Learning outcomes
Upon successful completion, enrollees will have the knowledge and skills to:
- Investigate and critically evaluate complex legal problems arising from government use of information
- Identify legal issues relating to the way that government uses technology to gather, use, protect and disclose information
- Distinguish different public interest policies relating public management of personal data
- Engage in discussions on information law in the context of government use of new technologies
Indicative assessment
1,200 word Research Blog: 75%; links to Learning Outcomes 1, 4
400 word-equivalent Quiz; 25%; links to Learning Outcomes 2, 3
Assumed knowledge
This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.
Micro-credential stack information
This micro-credential may be undertaken as a stand-alone course or as part of a "stack". The three M-Cs proposed for this “Cyber Law" stack are:
- Introduction to Data and Cyber Law - Associate Professor Philippa Ryan
- Technology and Information Law - Daniel Stewart
- Legal models of Human/Machine Cognition - Associate Professor William Bateman
Details
Course Code: DATA18
Workload: 43 hours
- Contact hours: 9 hours
- Individual study and assessment: 34 hours
ANU unit value: 2 units
AQF Level: 9
Contact: Daniel Stewart, College of Law
This Micro-credential is taught at a graduate level. This is not an AQF qualification.
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