The Course Topic is centring around: Ethical Problems of Technologies and AI
CASE STUDY PROJECTS FOR FALL 2024
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One of the goals of this class is to prepare you to critically evaluate issues that arise in the Digital Technology space
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Your Case Study Project will offer each of you the opportunity to display these skills
Oral and Written Presentations:
There will be separate grades handed out for your Case Study presentations. One of the objectives of this class is for you to develop analytical skills in the Digital Technology arena, and to be able to apply these skills to solve real world problems in your current/future job environments.
This Case Study project aims to explore the challenges faced by companies or industries when integrating AI technology into their operations. The project seeks to provide insights and recommendations on designing a Pilot Program that enables organizations to gather valuable Customer feedback during the implementation process. The objectives include understanding the key considerations, potential roadblocks, and best practices for successful AI integration while ensuring Customer satisfaction and organizational efficiency.
You will be asked to write your own Case Study using ChatGPT, Bing AI, Gemini AI, or any current AI platform available. You must focus on either a Global Company or Industry/Sector and describe how they should address a problem related to ethical issues regarding the use of Artificial Intelligence. In addition to drafting a 5-8-page paper on the subject, you will also prepare a separate PowerPoint presentation which you will present to me as an Oral Presentation via Zoom summarizing your findings.
Case Study project:
In your Case Study, you will be asked to conduct research analyzing the ethical implications of utilizing Artificial Intelligence (“A.I.”) based on either a Global Company or Industry/Sector, and how they have responded to the challenges of A.I.
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Use the following template to prepare your Case Study. Ensure that you address all of the following requirements. This document is NOT final during this draft stage; you can make changes as you contemplate the project in the coming weeks.
Problem(s) to solve
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A. Limited Customer feedback during the AI implementation phase.
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B. Ensuring Customer satisfaction and addressing concerns regarding AI technology.
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C. Identifying potential issues and challenges related to AI adoption in day-to-day operations.
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D. Designing an effective Pilot Program to gather feedback and assess the performance of AI systems.
Solution/Technology
- What technologies, methodologies, and frameworks should companies or industries consider when designing a Pilot Program that effectively collects Customer feedback on AI implementation?
- List your initial thoughts regarding the solution(s). Is it software, hardware, process improvement or all combined? What is the technology currently being used by that business/industry, or what should they use?
SWOT Analysis
- Give some ideas of the strengths, weaknesses, opportunities, and threats (“SWOT”) of your technology solution(s). State why and how businesses or industries might be affected by your solution(s).
Research Parameters: At a high level, list those areas that you feel your research will cover – including marketing technologies, hardware, process improvement, etc.
Metrics
How are you going to measure the success of your solution(s)?
Your analysis should include
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A. Customer Satisfaction – measure customer feedback and sentiment to gauge satisfaction levels during the Pilot Program.
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B. Accuracy and Performance – evaluate the effectiveness and efficiency of AI systems through metrics such as error rates, processing time, or system uptime.
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C. Cost reduction – Access the impact of AI implementation on cost reduction, including savings in labor, time, or operational expenses.
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D. Process improvement – identify key process metrics (e.g., cycle time, error rates) to measure improvements achieved through AI integration.
Costs for implementing proposed solutions:
The costs associated with implementing the proposed solutions will vary depending on the specific industry and organizational context.
Key cost considerations may include:
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1) Acquisition or development of AI technology and infrastructure.
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2) Training and upskilling employees to work alongside AI systems.
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3) Data acquisition, management, and security measures.
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4) Legal and Regulatory compliance related to privacy and data protection.
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5) Marketing and communication efforts to address customer concerns and build trust.
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6) What is the cost estimate for implementing your solution? Estimate!!
Grading for the Oral Presentation will be based on four areas:
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Professionalism
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Content
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Presentation skills
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Believability that you have command of the subject.