2.3 – Jade’s Formal Report Outline About AI Ethics Awareness

Report Outline of Assimilating AI Ethics Awareness into Computer Science Course Projects

I. Introduction

• Background information on current development and future possibilities of AI applications
• Introduce the issues of AI fair use in various industries
• Briefly discuss the methods of study
• Limitations of the study
• Scope of the inquiries
• Briefly state the conclusions of the study

II. Literature Review

• Investigate secondary sources for existing views on AI ethics
  • Supportive views and their reasons
  • Opposing views and their reasons
  • Ambivalent views
  • AI copyright laws and outstanding legal cases
• Current methods of educating people about AI fair use (inquiry 1)
• Discuss findings and their implications
  • Discuss the necessity of motivating students to think about AI in multiple perspectives

III. Methodology

• Describe the research design, including the online surveys and questionnaire
  • Design of the online survey
  • Design of the questionnaire addressed to Prof. Steve Wolfman
• Explain the data analysis techniques used
  • Statistical analysis
  • Logical deduction and generalization

IV. Collected Data

• Students’ exposure to recent outstanding legal cases about AI copyright (inquiry 1)
  • Findings based on data
  • Interpretation of findings
• Students’ interests in learning AI ethics in general (inquiry 2)
  • Findings based on data
  • Interpretation of findings
• Students’ views on nation-wide management schema of AI applications (inquiry 3)
  • Findings based on data
  • Interpretation of findings
• Students’ willingness to do appointed projects instead of free-style projects (inquiry 4)
  • Findings based on data
  • Interpretation of findings
• Students’ interests in peer-guided AI ethics awareness projects as an alternative (inquiry 5)
  • Findings based on data
  • Interpretation of findings
• Instructor’s opinions on the relation between AI ethics awareness and computer science courses (inquiry 6)
  • Findings based on answers received
  • Interpretation of findings

V. Conclusion

• Discuss the implications of the findings in the context of the proposed solution
  • Summary of the findings from the literature review, the online surveys, and the questionnaire
  • Analysis of the results in relation to the six inquiry directions
  • Evaluation of the feasibility of integrating AI ethics awareness elements into computer science courses
• Provide recommendations for feasible solutions or further research (depending on the findings)