學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
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- Human Resource Management
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- Information Technology
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- Business & Government Relations
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- Teaching & the Case Method
最新個案
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Ubiquitous Surveillance (A)
內容大綱
This case set is part of the Giving Voice to Values (GVV) curriculum. To see other material in the GVV curriculum, please visit http://store.darden.virginia.edu/giving-voice-to-values. In this A case, Tasha, leader of a data analytics team at Gotham Children's Hospital, is confronted with an ethical dilemma when her supervisor, Beatriz, suggests a facial recognition system at the hospital. The proposed project would draw on images in the hospital's database, as well publicly available images and information about arrest records, to identify visitors and trigger alarms when flagged individuals enter certain areas of the hospital. While her team is interested in the project, Tasha is concerned about privacy, bias in automated systems, public relations, and opportunity costs. This case set is intended to be used with students from a wide range of backgrounds, including especially team leads (who may have an MBA or other graduate-level degree) and data scientists. It would be particularly useful in courses on data ethics, technological innovation, technology management, and data law or policy.