UnitLevel 2Undergraduate

FIT2110 Human-centred artificial intelligence

Faculty of Information Technology

FIT2110 Human-centred artificial intelligence is a level 2, 6-credit-point, undergraduate unit from the Faculty of Information Technology. It isn't offered in 2027. It needs FIT1045.

Credit points
6
Offered in 2027
Not offered
Assessment
No exam
2 tasks
Workload
144 hours
per semester

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Requisites

After FIT2110

No unit lists FIT2110 as a prerequisite in the 2027 handbook.

Overview

This unit will explore how AI technologies are integrated into — and deeply influenced by — human values and social systems. It will explain the foundations of human-centred design and illustrate the application of design frameworks to designing socio-technical AI systems. In addition to gaining basic technical experience on how AI is constructed and used in software development, you will also develop your skills in critical analysis of AI technologies by engaging with their social dimensions and ethical challenges across a wide-range of case studies. These include studying how AI can reinforce old (or create new) forms of social discrimination, how to assess the authority and trustworthiness of AI outputs, and how AI is developed in a broader political and financial context. You will use your critical skills to evaluate existing AI technologies and propose new ways to redesign AI systems so they align with the principles, frameworks, and goals of human-centred design.

Offerings in 2027

The 2027 handbook lists no offerings for FIT2110.

Assessment

  • Development and Personalisation for Human-Centred AIProject
    50%
  • Critical Analysis and Redesign for Human-Centred AIWritten
    50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Describe the principles of human-centred design in their
    application to AI

  2. 2

    Critically analyse AI systems in terms of their motivations,
    processes, and outcomes

  3. 3

    Analyse different social, ethical, legal, and environmental
    challenges and problems with AI systems, and identify
    possibilities for appropriate solutions.

  4. 4

    Evaluate the broader social and technical implications of how
    AI is constructed and used in software development

  5. 5

    Apply socio-technical knowledge to propose a detailed plan
    for (re)designing human-centred AI systems

Workload and teaching

  • Applied sessions30 hours
  • Workshops18 hours
  • Teaching approachActive learning
  • Teaching approachEnquiry-based learning

This unit has a requirement of 1-2 hours per week of asynchronous learning.

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Contacts

Unit Coordinators
Pamela Spink
Chief Examiners
Jathan Sadowski

Common questions

What are the prerequisites for FIT2110?

You need FIT1045 before you enrol.

When is FIT2110 offered?

FIT2110 has no offerings listed in the 2027 handbook.

How much work is FIT2110?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does FIT2110 have an exam?

No. FIT2110 has 2 assessment tasks and no exam.

More details

Credit points
6
Level
2
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
202520262027