HI5031 Professional Issues in IS Ethics and Practice T3 2024 Assignment Help

  
 

 

HI5031 Professional Issues in IS Ethics and Practice T3 2024 Assignment Help
 

Assessment Details and Submission Guidelines
TrimesterT3 2024
Unit CodeHI5031
Unit TitleProfessional Issues in IS Ethics and Practice
Assessment TypeIndividual Assignment
Due Date+ time:

24 January 2025

11.59 pm (Melb./Sydney time)

Purpose of the assessment (with ULO Mapping)
  1. Critically discuss the issues and challenges (ethical, legal, technological, social, political etc) that impact upon the administration and leadership of contemporary  Organisations;
  2. Critically evaluate the role and application of standards, codes of conduct and legislative/regulatory obligations on the level of professionalism of the ICT industry;
  3. Critically review the roles and responsibilities of Information Systems professionals in organisations and society from a range of perspectives such as work-life balance, mentoring, obligations and lifelong

learning;

  1. Developanawarenessandskillsrelatingtowrittenandoralcommunicationvital for professional Information Systems practitioners;
  2. Develop and apply appropriate information gathering, evaluation and problem- solving skills in regards to Information Systems ethical issues.
Weight50%
Total MarksAssignment(50marks)
Word limit2500 words
Submission Guidelines
  1. All work must be submitted on Blackboard by the due date a long with a completed Assignment Cover Page.
  2. The assignment must be in MS Word format unless otherwise specified.
Academic Integrity InformationHolmes 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 integrityisseriousandpunishablebypenaltiesthatrangefromdeductionofmarks, failure of the assessment task or unit involved, suspension of course enrolment, or cancellation of course enrolment.
Penalties
  • All work must be submitted on Black board by the due date and time, along with a completed Assessment Cover Page. Late penalties apply.
  • Your answers must be based on Holmes Institute syllabus of this unit. Outside sourcesmaynotamounttomorethan10%ofanyanswerandmustbecorrectly referenced in full. Over-reliance on outside sources will be penalised
  • Referencesourcesmustbecitedinthetextofthereportandlistedappropriately at the end in a reference list using Holmes Institute Adapted Harvard

    Referencing.Penaltiesareassociatedwithincorrectcitationandreferencing.


 

 

 

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.2023.102700A copy of this case study is available on the Blackboard site.

Studentsarerequiredtoreviewthecasestudyprovidedandcriticallyanalyzetheethicalchallenges 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 often (10) academic research papers that expand on these ethical challenges.

Additionally, students should assess Open AI'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:

  1. Identify Ethical Issues

Discuss the main ethical issues raised by ChatGPT as outlined in the case study. Under take additional research to expand on these concerns. Topics to address include:

  • Authorship and attribution challenges.
    • Misinformation risks and manipulation potential.
    • Privacy risks, transparency, and algorithmic bias.
  • Analyse Ethical Issues

Evaluate Open AI's actions in addressing these ethical concerns through a chosen professional code of conduct (ACS, ACM, or IEEE). Include the following analyses:

  • Professional Responsibilities: How developers and organizations adhere to or deviate from ethical practices in deploying ChatGPT.


 

  • Classical Ethical Theories:

−      Utilitarianism: Assess the balance between ChatGPT's societal benefits and harms.

−      Deontology: Analyse Open AI'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.

  1. Develop Recommendations

Provide actionable recommendations for Open AI to address ethical risks effectively. Focus on:

  • Ensuring algorithmic transparency and explain ability.
    • Strategies for mitigating bias and enhancing fairness.
    • Improving user privacy protections.
    • Establishing inclusive access models for under served communities.
  • Conclusion

Summarize the key finding so your analysis and emphasize the importance of balancing ethical considerations with technological innovation.

  1. References

Use atleast 10 academic sources to support your analysis and recommendations. All references must adhere to the Holmes Institute Adapted Harvard Referencing style.

 

There port format must contain the following sections:

  1. Introduction(~150words)
  2. Identification of Ethical Issues(~250words)
  3. Analysis of Ethical Issues(~1700words)
  4. Recommendations(~250words)
  5. Conclusion(~150words)
  6. Reference



 

 

Adapted Harvard Referencing Rules

Holmes has implemented a revised Harvard approach to referencing. The following rules apply:

  1. Referencesourcesinassignmentsarelimitedtosourcesthatprovidefull-textaccesstothe source’s content for lecturers and markers.
  2. Thereferencelistmustbelocatedonaseparatepageattheendoftheessayandtitled: “References”.
  3. The reference list must include the details of all the in-text citations, arranged A-Z alphabetically by author surname with each reference numbered (1to10, etc.) and each reference MUST include a hyperlink to the full text of the cited reference source. For example:
  
 Text Box: 1.	Hawking,P.,McCarthy,B.&Stein,A.2004.SecondWaveERPEducation,Journalof Information Systems Education, http://jise.org/Volume15/n3/JISEv15n3p327.pdf


 

 

  1. All assignments must include in-text citations to the listed references. These must include the surname of the author/s or name of the authoring body, year of publication, page number of the content, and paragraph where the content can be found. For example, “The company decided to implement an enterprise-wide data warehouse business intelligence strategies (Hawking et al., 2004, p3 (4)).”
  
 


 

 

Non-Adherence to Referencing Rules

Where students do not follow the above rules:

  1. For students who submit assignments that do not comply with the rules, a 10% penalty will be applied
  2. As per the Student Handbook, late penalties will apply each day after the student/s has been notified of the due date.
  3. Students who comply with rules and the citations are “fake” may be reported for academic misconduct.


 

 

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 Black board. Submission boxes

Linked to Safe Assign will be setup in the Units Black board 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. Safe Assign 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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