Reference no: EM133819002
Professional Issues in IS Ethics and Practice
Purpose: Critically discuss the issues and challenges (ethical, legal, technological, social, political etc) that impact upon the administration and leadership of contemporary organisations;
Critically evaluate the role and application of standards, codes of conduct and legislative/regulatory obligations on the level of professionalism of the ICT industry;
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;
Develop an awareness and skills relating to written and oral communication vital for professional Information Systems practitioners;
Develop and apply appropriate information gathering, evaluation and problem- solving skills in regards to Information Systems ethical issues.
Assignment Description:
Using the case study: B. C. Stahl and D. Eke, "The ethics of ChatGPT - Exploring the ethical issues of an emerging technology," International Journal of Information Management, vol. 74, p. 102700, 2024
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:
Identify Ethical Issues
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:
Authorship and attribution challenges.
Misinformation risks and manipulation potential.
Privacy risks, transparency, and algorithmic bias.
Analyse Ethical Issues
Evaluate OpenAI'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. Hire Writer Now!
Classical Ethical Theories:
- 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.
Develop Recommendations
Provide actionable recommendations for OpenAI to address ethical risks effectively. Focus on:
Ensuring algorithmic transparency and explainability.
Strategies for mitigating bias and enhancing fairness.
Improving user privacy protections.
Establishing inclusive access models for underserved communities.
Conclusion
Summarize the key findings of your analysis and emphasize the importance of balancing ethical considerations with technological innovation.
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:
Introduction (~150 words)
Identification of Ethical Issues (~250 words)
Analysis of Ethical Issues (~1700 words)
Recommendations (~250 words)
Conclusion (~150 words)
References
Adapted Harvard Referencing Rules
Holmes has implemented a revised Harvard approach to referencing. The following rules apply:
Reference sources in assignments are limited to sources that provide full-text access to the source's content for lecturers and markers.