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The next generation of AI is expected to transition from its primarily predictive capabilities to autonomous decision-making units. This unit explores the economic implications of this change by augmenting standard economic theory to include AI-driven agents. These include the impact on economic inequality, wealth distribution, and economic disparity; the influence/perpetuation of bias in pricing, risk assessment, and insurance; the economics of work and organisation; and issues in law and economics. Through a mix of theoretical exploration and occasional case studies, students will gain critical insights into the economic challenges and opportunities presented by the next generation of AI.
| Study level | Undergraduate |
|---|---|
| Academic unit | Economics |
| Credit points | 6 |
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Prerequisites:
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ECOS2001 or ECOS2901 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Game theory, particularly games of complete information |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2026
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Find your current year census dates
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
It is recommended that students complete ECOS3012 before attempting this unit.