SIT799 - Human Aligned Artificial Intelligence
Unit details
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Waurn Ponds (Geelong), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 2: Mohamed Reda Bouadjenek |
| Prerequisite: | Nil |
| Corequisite: | SIT720 |
| Incompatible with: | Nil |
| Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 2 hour online lecture per week, 1 x 2 hour practical experience (workshop) per week. |
| Educator-facilitated (scheduled) learning activities - online unit enrolment: | Online independent and collaborative learning including 1 x 2 hour online lecture per week (recordings provided), 1 x 2 hour practical experience (workshop) per week. |
Content
A ‘Terminator’ style Armageddon is a Hollywoodized over-simplification of the future of AI as it is deployed in society. However, AI researchers, industry and governments have a growing concern about the increasing deployment of AI in society without also ensuring these systems are aligned to human requirements. Aligning AI to human needs focuses on the ethical, safe, explainable and interactive requirements of socially deployed AI. This unit will explore these topics from both a philosophical and implementation point of view. In this unit students will study, research, discuss, implement and analyse a range of topics and methods such as: artificial general intelligence, super intelligence; consciousness; ethical conundrums; ethical decision making; safe exploration; constrained AI; legal frameworks; industry standards; competency awareness; black, grey and white box systems; interpretability/transparency; explainability; interactivity; and, AI teaching and learning pedagogies. All areas discussed in this unit are highly active and emerging research areas and students will be expected to explore beyond the unit content
| ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
|---|---|---|
| ULO1 | Demonstrate a deep understanding of the issues concerning safe, ethical, explainable and interactive AI. | GLO1: Discipline-specific knowledge and capabilities |
| ULO2 | Research, discuss and debate issues and considerations in the human alignment and deployment of AI systems. | GLO1: Discipline-specific knowledge and capabilities |
| ULO3 | Implement and analyse the performance of ethical safe, explainable and interactive AI approaches. | GLO1: Discipline-specific knowledge and capabilities |
| ULO4 | Review and recommend improvements to the legal and regulatory frameworks surrounding the deployment of AI. | GLO1: Discipline-specific knowledge and capabilities |
| ULO5 | Recommend human aligned solutions to real-world deployment situations. | GLO1: Discipline-specific knowledge and capabilities |
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Learning portfolio | Written and visual documentation, including program code, quizzes, reports, oral/video presentations | 100% | Week 12 |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.
Learning Resource
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.
Unit Fee Information
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