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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
Auditing Algorithmic Risk
內容大綱
Algorithmic auditing aims to identify and monitor potential harms caused by algorithmic systems. In these scenarios, diverse stakeholders consider specific use cases and collaborate to address critical questions about who could be harmed by such technologies, and how. The authors present two tools " the Ethical Matrix and the Explainable Fairness framework " that can help organizations identify these potential harms.