ICT902 Synthetic Intelligence and Machine Studying
Semester 1 2026
Review 2 – Ethical Concerns in AI Solutions – 30% Handbook
(Launch Review)
Submission Closing date: Sunday 19 April 2026 11:59 PM
Total Review weighting – 30%
Reason of this review
This review goals to make pupil’s capability to critically stumble on moral issues rising from the come and deployment of Synthetic Intelligence (AI) applied sciences in valid-world contexts. By titillating with a contemporary AI software program or scenario, students shall be conscious conceptual recordsdata, moral reasoning frameworks, and analytical taking into consideration to title doable dangers, biases, governance challenges, and societal implications. The project requires students to dangle in solutions the to blame use of AI programs, assess their broader organizational and social affect, and formulate neatly-reasoned, proof-primarily based ideas. Thru this route of, students will strengthen their ability for crucial reflection, official judgment, and the production of a structured academic file that demonstrates moral consciousness and to blame AI be conscious in advanced choice-making environments.
Cover success of this studying raze end result:
ULO 4: Explore and critically assess the moral considerations surrounding the come and deployment of AI applied sciences in society.
Process description:
Here is an individual review designed to dangle in solutions pupil’s capability to critically analyse moral considerations rising from the come and deployment of Synthetic Intelligence (AI) programs in valid-world contexts. Students shall be assigned a contemporary AI software program or scenario positioned within a realistic organisational or societal setting. The scenario will outline the reason of the AI system, its operational environment, connected stakeholders, recordsdata utilization practices, and key moral issues.
The project requires students to enjoy a comprehensive written file of roughly 2000 phrases that demonstrates crucial diagnosis, moral reasoning, conceptual working out, and official academic communication. The file will need to dangle in solutions the moral implications of the AI software program, assess dangers and governance challenges, and propose neatly-reasoned ideas to support to blame AI pattern and deployment.
This review goals to simulate a official moral evaluation of an AI acknowledge. Students shall be required to:
- Analyse the assigned AI scenario and title key moral issues and stakeholders
- Explore doable dangers including bias, fairness, transparency, accountability, privacy, and societal affect
- Evaluate the organisational, regulatory, and governance implications of deploying the AI system
- Propose proof-primarily based ideas to mitigate moral dangers and increase to blame AI be conscious
- Significantly replicate on the broader implications of AI adoption in organisational and societal contexts
To full this review, students are required to:
- Significantly analyse the assigned AI software program or scenario, figuring out moral dangers and contextual components.
- Evaluate doable impacts on participants, organisations, and society, including issues of fairness, bias, privacy, and accountability.
- Be conscious connected moral principles, governance considerations, and to blame AI ideas introduced within the unit.
- Originate structured, proof-primarily based ideas to toughen moral type, implementation, and oversight of the AI system.
- Cover academic rigour thru certain argumentation, acceptable referencing, and integration of scholarly or industry sources.
The final submission must consist of:
- A structured written file (PDF, approximately 2000 phrases) analysing the AI scenario, evaluating moral implications, and presenting ideas.
- Appropriate academic references supporting moral diagnosis and argumentation.
This review goals to support students:
- Significantly dangle in solutions moral challenges in AI pattern and deployment.
- Be conscious to blame AI principles to realistic organisational eventualities.
- Formulate structured and proof-primarily based moral ideas.
- Discuss advanced moral and technical considerations in a official academic layout.
- Cover readiness to dangle interplay responsibly with AI applied sciences in official be conscious.
Structure:
This review needs to be submitted in a tutorial file layout, including the equipped review hide sheet from the ICT 902 Moodle online page. The file must consist of an introduction, important body, conclusion, ideas, and a reference record.
Formatting: This review must be submitted with a phrase depend of 2,000 phrases the use of either Calibri or Times Unique Roman font, size 12. The doc must be double-spaced, with as a minimum ten references in APA 7 layout. The review carries a full weight of 30%.
- Headings and Subheadings: Consume a certain and fixed hierarchy for headings and subheadings. For instance, important headings must be in intrepid and the next font size, whereas subheadings must be intrepid with a smaller font size.
- Font Vogue and Dimension: Guarantee that consistency in font model (e.g., Calibri or Times Unique Roman) and size (12-point for body textual boom material). The total doc must be double-spaced with uniform paragraph spacing.
- Alignment: Preserve the textual boom material left-aligned for greater readability. The body textual boom material must be justified for a tidy, organised appearance.
- Proofreading and Editing: Review your work for grammatical errors and clarity. Gain in solutions the use of tools love Grammarly or perceive feedback to toughen writing quality.
Due Date: Week 7
Resources Accessible: Lecture slides and notes from weeks one to ten. Videos readily available within the “Readings and Viewings” piece of OASIS.
Handbook: The book beneath offers a concise overview of programs on how to manner the review.
- SCI Veil Page: (No phrase depend)
- Table of Contents: (No phrase depend, structured outline)
- Introduction (300–350 phrases)
- Introduce the assigned AI software program or scenario and its relevance in as of late’s recordsdata-driven environment.
- Highlight the rising significance of moral oversight in AI pattern and deployment.
- Command how the file will stumble on the AI system, analyse moral dangers, dangle in solutions governance implications, and propose to blame AI ideas.
- Physique of the File:
Paragraph 1: AI System and Affect Evaluation (400–450 phrases)
- Say the character and reason of the AI system (e.g., predictive model, computerized choice system, colorful assistant).
- Identify affected stakeholders, including participants, organisations, and society.
- Assess doable impacts similar to fairness issues, bias, privacy dangers, transparency limitations, or accountability gaps.
- Discuss imaginable regulatory or compliance implications where connected.
Paragraph 2: Ethical Risk and Governance Evaluation (450–500 phrases)
- Identify key moral dangers connected with the AI system, including recordsdata quality issues, bias in coaching recordsdata, model opacity, or choice-making autonomy.
- Evaluate organisational accountability, governance structures, and oversight mechanisms.
- Assess possibility severity, doable afflict, and lengthy-time frame societal implications.
- Combine connected moral principles and to blame AI ideas introduced within the unit.
Paragraph 3: Guilty AI Strategy and Mitigation Framework (450–500 phrases)
- Propose a structured technique to mitigate identified moral dangers.
- Point out governance mechanisms, transparency practices, monitoring processes, or policy interventions.
- Discuss accountability structures, fairness auditing, and continuous evaluation mechanisms.
- Interpret ideas the use of scholarly and industry sources.
- Conclusion (200–250 phrases)
- Summarise the foremost moral issues identified within the diagnosis.
- Replicate on the significance of to blame AI governance in sustaining have confidence and legitimacy.
- Emphasise the lengthy-time frame advantages of embedding moral principles into AI system type and deployment.
- Suggestions (250–300 phrases)
- Present certain, actionable ideas to reinforce moral AI pattern and oversight.
- Counsel enhancements to governance frameworks, recordsdata practices, transparency mechanisms, or monitoring processes.
- Contemporary a structured roadmap for to blame and sustainable AI implementation.
- References (No phrase depend)
- Minimum 10 credible academic and industry sources cited in APA 7 layout.
- Sources might per chance perhaps well also consist of academic journals, govt pointers, industry frameworks, and official requirements connected to AI ethics and governance.
Total Word Count: 2,000 phrases
This involves moral diagnosis, governance evaluation, to blame AI intention pattern, and structured ideas. The file must integrate conceptual working out and anxious reasoning aligned with moral principles and to blame AI be conscious discussed within the unit.
Review submission
Earlier than the due date, each neighborhood is allowed three (3) submission makes an attempt, offering a probability to compare for unintended plagiarism the use of textual boom material-matching software program. As a group of workers, evaluation the similarity file collectively, discuss any mandatory revisions, and make sure your final submission reflects the celebrated work. If the similarity ranking is 31% or greater, collaborate to revise the boom material before making your final submission, as high similarity might per chance perhaps well also ticket academic misconduct.
Tutorial Integrity and Misconduct
Students must put up celebrated work and uphold academic integrity at Southern Inappropriate Institute (SCI). The Tutorial Integrity Policy and Plot outlines the principles of academic honesty and well-known aspects the implications of misconduct, including plagiarism, recycling, fabricating recordsdata, collusion, dishonest in examinations, contract dishonest, artificial intelligence tools, dishonest behaviour etc. SCI utilises Turnitin to attend appropriate quotation practices and to detect doable academic misconduct.
Ethical Consume of Generative Synthetic Intelligence (GenAI) Instruments
Consult with the Snappily Handbook for Students created by the Studying Toughen Group for beneath practices within the use of GenAI tools. While GenAI can attend with belief generation, structuring, and drafting, students must rigorously evaluation, paraphrase, and properly reference any AI-generated boom material if ancient. Overreliance on AI might per chance perhaps well also lift academic integrity issues similar to fabricating recordsdata.
Surroundings up a reference to ChatGPT or other AI models and software program
As per American Psychological Association (2020), the reference and in-textual boom material citations for ChatGPT are formatted as follows:
OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
- Parenthetical quotation: (OpenAI, 2023)
- Account quotation: OpenAI (2023)
Reward: Even supposing right here we address ChatGPT, they’re frequently tailored to the use of different huge language models (e.g., Bard), algorithms, and identical software program.
For further crucial aspects, please consult with the ICT902 Unit Command and ICT902 Unit Review Handbook for extra recordsdata or contact your Lecturer. Please consult with the next online page for the marking rubric for Review 2.
Rubric for Review 2 – Ethical Concerns in AI Solutions (30%) – OPEN ASSESSMENT
| Criteria | Fail (0 – 49%) | Walk (50 – 64%) | Credit (65-74%) | Distinction (75-84%) | High Distinction (85 – 100%) |
|---|---|---|---|---|---|
| Research Quality and Resolution Feasibility (10%) | Inadequate research performed, with few or no feasible alternatives presented. Relies on non-credible or unsupported solutions. | Sufficient research performed, presenting comparatively feasible alternatives supported by credible sources. | Above-common quality of research, presenting feasible alternatives backed by reliable sources. | Very reliable research, presenting highly feasible alternatives supported by stable academic and official sources. | Distinctive research, presenting modern and highly feasible alternatives with broad academic support. |
| Working out of the deliver thru theories and solutions (20%) | Now no longer adequately understood the deliver thru the theories and solutions studied (eg dangle ancient terminology incorrectly or type/prototype is per theoretically/conceptually unsuitable assumptions or misconceived the deliver/deliver) | Adequately understood the deliver thru the theories and solutions studied (eg dangle precisely ancient terminology and type/prototype is per theoretically/conceptually simply assumptions) | Adequately understood the deliver thru the theories and solutions studied to an above common usual | Adequately understood the deliver thru the theories and solutions studied to a truly reliable usual | Adequately understood the deliver thru the theories and solutions studied to a phenomenal usual |
| Coherence of diagnosis justifying type/prototype (10%) | The reason for the sort/prototype is illogical and/or poorly reasoned (eg because it depends on counterfeit assumptions or misunderstands the theories and solutions applied) | The reason for the sort/prototype is mostly logical and neatly-reasoned | The reason for the sort/prototype is logical and neatly-reasoned to an above common usual | The reason for the sort/prototype is logical and neatly-reasoned to a truly reliable usual | The reason for the sort/prototype is logical and neatly-reasoned to a phenomenal usual |
| Toughen for type/prototype (10%) | The type/prototype is insufficiently supported by principle and/or proof | The type/prototype is supported by principle and/or proof | The type/prototype is supported by principle and/or proof to an above common usual | The type/prototype is supported by principle and/or proof to a truly reliable usual | The type/prototype is supported by principle and/or proof to a phenomenal usual |
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