ICT902 Man made Intelligence and Machine Studying
Semester 1 2026
Overview 2 – Ethical Concerns in AI Alternatives – 30% Recordsdata
(Launch Overview)
Submission Deadline: Sunday 19 April 2026 11:59 PM
Entire Overview weighting – 30%
Plot of this evaluation
This evaluation objectives to trust pupil’s skill to critically respect ethical complications coming up from the enchancment and deployment of Man made Intelligence (AI) technologies in exact-world contexts. By enticing with a as much as date AI application or teach, students will practice conceptual recordsdata, ethical reasoning frameworks, and analytical pondering to establish probably risks, biases, governance challenges, and societal implications. The duty requires students to insist the guilty spend of AI techniques, assess their broader organizational and social impact, and formulate well-reasoned, evidence-primarily primarily based suggestions. Through this project, students will toughen their potential for excessive reflection, professional judgment, and the manufacturing of a structured tutorial file that demonstrates ethical consciousness and guilty AI apply in advanced resolution-making environments.
Designate success of this finding out end result:
ULO 4: Come across and critically assess the ethical concerns surrounding the enchancment and deployment of AI technologies in society.
Process description:
This is an person evaluation designed to insist pupil’s skill to critically analyse ethical concerns coming up from the enchancment and deployment of Man made Intelligence (AI) techniques in exact-world contexts. College students will be assigned a as much as date AI application or teach located within a life like organisational or societal environment. The teach will clarify the reason of the AI system, its operational environment, associated stakeholders, recordsdata utilization practices, and key ethical concerns.
The duty requires students to originate a entire written file of roughly 2000 words that demonstrates excessive diagnosis, ethical reasoning, conceptual notion, and professional tutorial verbal change. The file must evaluate the ethical implications of the AI application, assess risks and governance challenges, and imply well-reasoned suggestions to reinforce guilty AI style and deployment.
This evaluation objectives to simulate a talented ethical evaluate of an AI solution. College students will be required to:
- Analyse the assigned AI teach and establish key ethical complications and stakeholders
- Survey probably risks along side bias, fairness, transparency, accountability, privacy, and societal impact
- Overview the organisational, regulatory, and governance implications of deploying the AI system
- Imply evidence-primarily primarily based suggestions to mitigate ethical risks and improve guilty AI apply
- Critically replicate on the broader implications of AI adoption in organisational and societal contexts
To entire this evaluation, students are required to:
- Critically analyse the assigned AI application or teach, identifying ethical risks and contextual components.
- Overview probably impacts on participants, organisations, and society, along side complications of fairness, bias, privacy, and accountability.
- Apply associated ethical principles, governance concerns, and guilty AI ideas launched within the unit.
- Fabricate structured, evidence-primarily primarily based suggestions to reinforce ethical form, implementation, and oversight of the AI system.
- Designate tutorial rigour by draw of particular argumentation, acceptable referencing, and integration of scholarly or trade sources.
The ultimate submission must consist of:
- A structured written file (PDF, roughly 2000 words) analysing the AI teach, evaluating ethical implications, and presenting suggestions.
- Acceptable tutorial references supporting ethical diagnosis and argumentation.
This evaluation objectives to aid students:
- Critically evaluate ethical challenges in AI style and deployment.
- Apply guilty AI principles to life like organisational scenarios.
- Formulate structured and evidence-primarily primarily based ethical suggestions.
- Keep up a correspondence advanced ethical and technical concerns in a talented tutorial format.
- Designate readiness to have interaction responsibly with AI technologies in professional apply.
Structure:
This evaluation also can simply restful be submitted in a tutorial file format, along side the equipped evaluation quilt sheet from the ICT 902 Moodle page. The file also can simply restful consist of an introduction, main body, conclusion, suggestions, and a reference checklist.
Formatting: This evaluation must be submitted with a be aware count of 2,000 words the spend of either Calibri or Times Contemporary Roman font, dimension 12. The doc must be double-spaced, with no lower than ten references in APA 7 format. The evaluation carries a entire weight of 30%.
- Headings and Subheadings: Use a transparent and constant hierarchy for headings and subheadings. As an instance, main headings must be in intrepid and a elevated font dimension, while subheadings must be intrepid with a smaller font dimension.
- Font Fashion and Measurement: Assemble breeze consistency in font vogue (e.g., Calibri or Times Contemporary Roman) and dimension (12-level for body textual voice material). The total doc must be double-spaced with uniform paragraph spacing.
- Alignment: Retain the textual voice material left-aligned for greater readability. The body textual voice material must be justified for a graceful, organised look.
- Proofreading and Editing: Overview your work for grammatical errors and readability. Like in thoughts the spend of instruments love Grammarly or leer feedback to reinforce writing quality.
Due Date: Week 7
Resources On hand: Lecture slides and notes from weeks one to ten. Videos available within the “Readings and Viewings” a part of OASIS.
Recordsdata: The guidelines below provides a concise overview of how one can draw the evaluation.
- SCI Duvet Net page: (No be aware count)
- Table of Contents: (No be aware count, structured clarify)
- Introduction (300–350 words)
- Introduce the assigned AI application or teach and its relevance in lately’s recordsdata-driven environment.
- Highlight the rising importance of ethical oversight in AI style and deployment.
- Elaborate how the file will respect the AI system, analyse ethical risks, evaluate governance implications, and imply guilty AI suggestions.
- Physique of the Fable:
Paragraph 1: AI Machine and Influence Evaluation (400–450 words)
- Represent the personality and reason of the AI system (e.g., predictive mannequin, automatic resolution system, vivid assistant).
- Title affected stakeholders, along side participants, organisations, and society.
- Assess probably impacts such as fairness concerns, bias, privacy risks, transparency limitations, or accountability gaps.
- Discuss about that you are going to also imagine regulatory or compliance implications where associated.
Paragraph 2: Ethical Threat and Governance Review (450–500 words)
- Title key ethical risks associated with the AI system, along side recordsdata quality concerns, bias in coaching recordsdata, mannequin opacity, or resolution-making autonomy.
- Overview organisational accountability, governance structures, and oversight mechanisms.
- Assess risk severity, probably ruin, and long-term societal implications.
- Integrate associated ethical principles and guilty AI ideas launched within the unit.
Paragraph 3: Responsible AI Procedure and Mitigation Framework (450–500 words)
- Imply a structured approach to mitigate acknowledged ethical risks.
- Recommend governance mechanisms, transparency practices, monitoring processes, or coverage interventions.
- Discuss about accountability structures, fairness auditing, and continuous evaluate mechanisms.
- Give an explanation for suggestions the spend of scholarly and trade sources.
- Conclusion (200–250 words)
- Summarise basically the significant ethical concerns acknowledged within the diagnosis.
- Replicate on the importance of guilty AI governance in sustaining trust and legitimacy.
- Emphasise the long-term benefits of embedding ethical principles into AI system form and deployment.
- Recommendations (250–300 words)
- Present particular, actionable suggestions to toughen ethical AI style and oversight.
- Imply enhancements to governance frameworks, recordsdata practices, transparency mechanisms, or monitoring processes.
- Unusual a structured roadmap for guilty and sustainable AI implementation.
- References (No be aware count)
- Minimal 10 credible tutorial and trade sources cited in APA 7 format.
- Sources also can simply consist of tutorial journals, authorities tricks, trade frameworks, and professional requirements associated to AI ethics and governance.
Entire Discover Depend: 2,000 words
This involves ethical diagnosis, governance evaluate, guilty AI approach style, and structured suggestions. The file must combine conceptual notion and excessive reasoning aligned with ethical principles and guilty AI apply mentioned within the unit.
Overview submission
Sooner than the due date, every crew is allowed three (3) submission attempts, offering a risk to evaluate for unintended plagiarism the spend of textual voice material-matching tool. As a crew, evaluate the similarity file together, talk about any mandatory revisions, and invent breeze your ultimate submission shows the distinctive work. If the similarity fetch is 31% or bigger, collaborate to revise the voice material earlier than making your ultimate submission, as high similarity also can simply unique tutorial misconduct.
Academic Integrity and Misconduct
College students must post fresh work and uphold tutorial integrity at Southern Tainted Institute (SCI). The Academic Integrity Policy and Plot outlines the principles of tutorial honesty and particulars the consequences of misconduct, along side plagiarism, recycling, fabricating recordsdata, collusion, dishonest in examinations, contract dishonest, synthetic intelligence instruments, dishonest behaviour and masses others. SCI utilises Turnitin to aid accurate citation practices and to detect probably tutorial misconduct.
Ethical Use of Generative Man made Intelligence (GenAI) Instruments
Discuss to the Hastily Recordsdata for College students created by the Studying Enhance Team for easiest practices within the spend of GenAI instruments. Whereas GenAI can aid with notion generation, structuring, and drafting, students must in moderation evaluate, paraphrase, and properly reference any AI-generated voice material if susceptible. Overreliance on AI also can simply lift tutorial integrity concerns such as fabricating recordsdata.
Making a reference to ChatGPT or other AI units and power
As per American Psychological Association (2020), the reference and in-textual voice material citations for ChatGPT are formatted as follows:
OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
- Parenthetical citation: (OpenAI, 2023)
- Fable citation: OpenAI (2023)
Designate: Though right here we level of curiosity on ChatGPT, they’d be adapted to the spend of alternative wide language units (e.g., Bard), algorithms, and an identical tool.
For further particulars, please consult with the ICT902 Unit Elaborate and ICT902 Unit Overview Recordsdata for further recordsdata or contact your Lecturer. Please consult with the following page for the marking rubric for Overview 2.
Rubric for Overview 2 – Ethical Concerns in AI Alternatives (30%) – OPEN ASSESSMENT
| Requirements | Fail (0 – 49%) | Cross (50 – 64%) | Credit (65-74%) | Distinction (75-84%) | Excessive Distinction (85 – 100%) |
|---|---|---|---|---|---|
| Research Quality and Solution Feasibility (10%) | Insufficient research performed, with few or no probably solutions offered. Relies on non-credible or unsupported tips. | Enough research performed, presenting moderately probably solutions supported by credible sources. | Above-moderate quality of research, presenting probably solutions backed by appropriate sources. | Very appropriate research, presenting extremely probably solutions supported by exact tutorial and professional sources. | Excellent research, presenting modern and extremely probably solutions with wide tutorial reinforce. |
| Working out of the scenario with regards to theories and tips (20%) | No longer adequately understood the scenario with regards to the theories and tips studied (eg personal susceptible terminology incorrectly or form/prototype is in step with theoretically/conceptually unsuitable assumptions or misconceived the difficulty/scenario) | Adequately understood the scenario with regards to the theories and tips studied (eg personal precisely susceptible terminology and form/prototype is in step with theoretically/conceptually appropriate assumptions) | Adequately understood the scenario with regards to the theories and tips studied to an above moderate fashioned | Adequately understood the scenario with regards to the theories and tips studied to a genuinely appropriate fashioned | Adequately understood the scenario with regards to the theories and tips studied to an mighty fashioned |
| Coherence of diagnosis justifying form/prototype (10%) | The rationale for the form/prototype is illogical and/or poorly reasoned (eg because it relies on spurious assumptions or misunderstands the theories and tips utilized) | The rationale for the form/prototype is principally logical and well-reasoned | The rationale for the form/prototype is logical and well-reasoned to an above moderate fashioned | The rationale for the form/prototype is logical and well-reasoned to a genuinely appropriate fashioned | The rationale for the form/prototype is logical and well-reasoned to an mighty fashioned |
| Enhance for form/prototype (10%) | The form/prototype is insufficiently supported by thought and/or evidence | The form/prototype is supported by thought and/or evidence | The form/prototype is supported by thought and/or evidence to an above moderate fashioned | The form/prototype is supported by thought and/or evidence to a genuinely appropriate fashioned | The form/prototype is supported by thought and/or evidence to an mighty fashioned |
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