Tesla Motors, Inc., incorporated on July 1, 2003, designs, develops, manufactures and sells electric vehicles and energy storage products. Most notably, Tesla is a major player in the self-driving car industry and a leader in utilizing Artificial Intelligence in their tech products. Our team will develop a case study that explores the pros/cons of using artificial intelligence in the tech space. We seek to answer questions including but not limited to: What methods exist for controlling AI solutions? How do we ethically delegate the responsibility of life/death decisions to machines? Should we mitigate the need for human interventions that will interfere with sound AI decisions?
Our case study will investigate the ethical, social and societal implications of the expanded use of artificial intelligence in personal and professional day-to-day decision-making. Given the complexity of the software powering artificial intelligence processes, our efforts will be focused more on building an actionable model/rationale for data-driven decision making rather than developing the software itself. We will discuss in detail specific use cases where artificial intelligence solutions must choose between the best interests of the end user vs. the best interests of the larger environment in which it operates. Examples include vehicle autopilot choosing between preserving the life of its occupants vs. pedestrians/other motorists in the vehicle’s path and the impact of automation on the workforce (jobs lost to automation vs. jobs created to maintain/service that same technology). Ultimately, we will develop business propositions that can be cohesively strategized and provide valuable solutions
Stakeholders include but are not limited to:
- Target Market
- Telsa Motors, Inc.
IV. Project Scope
The scope of our project will be to execute a comprehensive case study that tackles a current digital industry issue (Artificial Intelligence), specifically evaluating its controversial state among autonomous vehicles (i.e. Tesla Motors). Using the case study model as the framework for our analysis, we will gather requirements to present background on the subject matter, the brand, stakeholders, technical aspects, data and metrics, and the business problem (weighing the balance between artificial intelligence and its integration into our society). Furthermore, the case study will present an in-depth look into the various marketing methodologies used to attract a worldwide consumer base, before and after adoption. As a result, we will seek a strategic angle to market the product and decide on an appropriate value proposition to provide a constructive digital solution.
V. Project Cost
The cost of developing our case study is limited to readily available resources. Those resources include but are not limited to the Temple University Library database, WebEx, the Fox MIS-DIM Community Platform, and Harvard Business School case studies.
The schedule will follow the timeline as outlined by the capstone expectations. Each team member is expected to contribute to an assigned area prior to each weekly meet-up. In each session, the team member presents his/her research through the WebEx sharing tool. Afterwards, group mates will collaborate by discussing and providing feedback to form an effective and cohesive overall goal. In addition, our faculty advisor will offer suggestions and solutions to guide us in a well-defined direction.
||Project proposal shared with Amy Lavin via Google Drive doc|
|8.10.2016||1st virtual meeting with Mentors, Amy Lavin & Rebecca Zinn||WebEx: Intro to Rebecca, brief overview of submitted project proposal, (selection: case study focusing around AI marketing), next steps discussed.
Click for detailed August 10 Meeting Minutes.
||Deliverables split between team members – begun in Google Drive and transferred to Project Site individually. Sections: Company Profile (Michael), Brand Profile (John), Project Plan (Jennie/Jacyln), Competitive Analysis (Alison)|
|8.29.2016||1st virtual meeting with Faculty Advisor, Linda Descano||WebEx: Individual team member introductions, Linda Descano introduction, focus on AI on specific brand (Tesla Motors), thesis discussed.
Click for detailed August 29 Meeting Minutes.
|9.9.2016||2nd virtual Capstone Meeting with Mentors, Amy Lavin & Recbecca Zinn||Click for detailed feedback from Amy and Becca’s 1st capstone group meeting.|
|9.12.2016||2nd virtual meeting with Faculty Advisor, Linda Descano||WebEx: Defined thesis still in development, outside resources for research, competitors in similar market, emphasis on providing a visual front to the case study appendix, timeline, and project site.
Click for detailed September 12 Meeting Minutes.
||Deliverable split between team members – begun in Google Drive and transferred to Project Site individually.
Sections: Pros & Cons (Jaclyn), Comparison to Competitors (Alison), Overall architecture of the digital platform or technology of interest, and how it works (Jennie/Michael), Future Growth Prospects (John)
|9.26.2016||3rd virtual meeting with Faculty Advisor, Linda Descano|| WebEx: Reviewed proposed infographics and Linda provided feedback
Click for detailed September 26 Meeting Minutes.
||Deliverable split between team members – begun in Google Drive and emailed to Mentors and Faculty Advisor.
Sections: Case study draft section I (John/Alison), Case study draft section IV (Michael/Jennie), Jaclyn (revisions to existing infographics)
|10.10.2016||3rd virtual meeting with Faculty Advisor, Linda Descano|| Discuss 1st version of updated content on Project Site.
Click for detailed October 10 Meeting Minutes.
|10.13.2016||3rd virtual Capstone Meeting with mentors, Amy Lavin & Rebecca Zinn||Discuss progress on capstone completion
Click for detailed October 13 Meeting Minutes.
||Individual pages updated accordingly on Project Site with refined content|
|10.24.2016||5th virtual meeting with Faculty Advisor, Linda Descano||Discuss 2nd versions of updated content on Project Site.
Minutes to be posted soon.
|11.15.2016||Presented to Team 2 for Capstone Evaluation||Via Webex.|
|11.16.2016||Previewed Team 3’s Capstone Project||Click for summary of Team 3 Capstone Project.|
|12.5.2016||Submission of Team 3 Capstone Evaluation||Sent to Amy and Becca via email.|
|12.9.2016||Finalization of All Deliverables||All pages updated to finalized version on Project Site|
|12.14.2016||Final Presentions||Via WebEx at 6PM|