學門類別
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- 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
The Ethics of Managing People's Data
內容大綱
Over the past few years the European Union has fined companies more than 1,400 times for a total of nearly €3 billion for violations of the General Data Protection Regulation (GDPR). Almost every week stories appear about how AI-driven decisions result in discrimination against women or minority members in job recruitment, credit approvals, medical diagnoses, or criminal sentencing. These stories are stoking feelings of unease about how data is collected, used, and analyzed. According to the authors, managers who are examining projects that involve gathering human-provided data or leveraging existing databases need to focus on five critical issues: the provenance of the data, the purpose for which it will be used, how it is to be protected, how the privacy of the data providers can be ensured, and how the data is prepared for use. They begin with a brief overview of the organizational requirements for a robust ethical-review process.