Assessment Details and Submission Guidelines | |
Trimester | T3 2024 |
Unit Code | HI5031 |
Unit Title | Professional Issues in IS Ethics and Practice |
Assessment Type | Individual Assignment |
Due Date + time: | 24 January 2025 11.59 pm (Melb/ Sydney time) |
Purpose of the assessment (with ULO Mapping) |
learning; 4. Develop an awareness and skills relating to written and oral communication vital for professional Information Systems practitioners; 5. Develop and apply appropriate information gathering, evaluation and problem- solving skills in regards to Information Systems ethical issues. |
Weight | 50 % |
Total Marks | Assignment (50 marks) |
Word limit | 2500 words |
Submission Guidelines |
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Academic Integrity Information | Holmes Institute is committed to ensuring and upholding academic integrity. All assessments must comply with academic integrity guidelines. Please learn about academic integrity and consult your teachers with any questions. Violating academic integrity is serious and punishable by penalties that range from deduction of marks, failure of the assessment task or unit involved, suspension of course enrollment, or cancellation of course enrollment.l |
Penalties |
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Assignment Description:
Using the case study: B. C. Stahl and D. Eke, "The ethics of Chat GPT – Exploring the ethical issues of an emerging technology," International Journal of Information Management, vol. 74, p. 102700, 2024, https://doi.org/10.1016/j.ijinfomgt.2023.102700. A copy of this case study is available on the Blackboard site.
Students are required to review the case study provided and critically analyze the ethical challenges associated with ChatGPT, an emerging technology. The analysis should focus on key issues
highlighted in the case study, including authorship attribution, misinformation risks, algorithmic bias, privacy, and transparency.
Students must also search for and review a minimum of ten (10) academic research papers that expand on these ethical challenges.
Additionally, students should assess OpenAI's actions in addressing these concerns by applying a chosen professional code of conduct (e.g., ACS, ACM, or IEEE).
Finally, students are required to propose some recommendations to mitigate risks and promote
ethical practices in deploying ChatGPT. These recommendations should focus on transparency, bias mitigation, user privacy, and inclusive access, balancing the ethical considerations with the benefits of innovation.
Instructions:
Read the Case Study (Stahl and Eke, 2024), and then complete the following tasks:
Discuss the main ethical issues raised by ChatGPT as outlined in the case study. Undertake additional research to expand on these concerns. Topics to address include:
Evaluate OpenAI's actions in addressing these ethical concerns through a chosen professional code of conduct (ACS, ACM, or IEEE). Include the following analyses:
− Utilitarianism: Assess the balance between ChatGPT's societal benefits and harms.
− Deontology: Analyse OpenAI's intentions and obligations in addressing ethical challenges.
− Virtue Ethics: Evaluate the role of responsible innovation and the character of organizations involved in ChatGPT's development.
− Contract Theory: Discuss the implicit agreements with users and stakeholders regarding transparency, safety, and fairness.
3. Develop Recommendations
Provide actionable recommendations forOpenAI to address ethical risks effectively. Focus on:
Ensuring algorithmic transparency and explainability.
Establishing inclusive access models for underserved communities.
4. Conclusion
Summarize the key findings of your analysis and emphasize the importance of balancing ethical considerations with technological innovation.
5. References
Use at least 10 academic sources to support your analysis and recommendations. All references must adhere to the Holmes Institute Adapted Harvard Referencing style.
The report format must contain the following sections:
Criteria | Fail | Pass | Credit | Distinction | High Distinction |
Presentation (4 marks) | Poor presentation, lacks clarity and coherence. | Adequate presentation, some inconsistencies. | Clear and professional writing with logical structure. | Very good writing, formatting, and structure. | Excellent writing, formatting, and professional presentation. |
Introduction (4 marks) | Unclear or vague introduction; objectives are missing. | Objectives stated but lack detail. | Clear introduction with outlined objectives. | Well-defined objectives with relevant context. | Thorough, precise objectives and strong arguments. |
Identification of Ethical Issues (9 marks) | Ethical issues poorly identified or lack relevance. | Issues identified but lack depth. | Issues identified and supported by research. | Thorough identification with insightful connections. | Comprehensive identification with critical analysis and deep insight. |
Analysis of Ethical Issues (20 marks) | Lacks depth; minimal use of ethical theories or professional codes. | Basic analysis with limited critical insight. | Detailed and critical discussion with good reasoning. | Thorough, critical discussion with strong reasoning. | Exceptional analysis with deep critical engagement and nuanced insights. |
Recommendations (4 marks) | Recommendations are unclear or impractical. | Basic recommendations with limited justification. | Clear, practical recommendations with adequate justification. | Well-thought- out recommendations with strong support. | Exceptional recommendations that are actionable and innovative. |
Conclusion (4 marks) | Unclear or lacks coherence. | Basic but logical summary. | Clear and logical conclusion that reflects the analysis. | Strong conclusion supported by the analysis. | Insightful conclusion emphasizing key findings and implications. |
Referencing (5 marks) | Lacks consistency with many errors. | Generally good referencing style. | Clear styles with excellent source of references. | Very good sources of references. Correct format followed. | Excellent sources of references. The correct format followed. |
Adapted Harvard Referencing Rules
Holmes has implemented a revised Harvard approach to referencing. The following rules apply:
Non-Adherence to Referencing Rules
Where students do not follow the above rules:
Your document should be a single MS Word or Open Office document containing your report. Do not use PDF as a submission format.
All submissions will be submitted through the Safe Assign facility in Blackboard. Submission boxes
linked to Safe Assign will be set up in the Units Blackboard Shell. Assignments not submitted through these submission links will not be considered.
Submissions must be made by the due date and time (which will be in the session detailed above) and determined by your Unit coordinator. Submissions made after the due date and time will be penalized per day late (including weekend days) according to Holmes Institute policies.
The Safe Assign similarity score will be used in determining the level, if any, of plagiarism. SafeAssign will check conference web-sites, Journal articles, the Web and your own class members
submissions for plagiarism. You can see your Safe Assign similarity score (or match) when you submit your assignment to the appropriate drop-box. If this is a concern you will have a chance to change your assignment and resubmit. However, re-submission is only allowed prior to the submission due date and time. After the due date and time have elapsed your assignment will be graded as late.
Submitted assignments that indicate a high level of plagiarism will be penalized according to the Holmes Academic Misconduct policy, there will be no exceptions. Thus, plan early and submit early to take advantage of the re-submission feature. You can make multiple submissions, but please remember we grade only the last submission, and the date and time you submitted will be taken from that submission.
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