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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
When Algorithms Rule, Values Can Wither
內容大綱
Organizations that aim to develop and deploy responsible AI systems must begin by considering what implicit and systemic biases reside in a technological system itself. Not doing so can result in catastrophic failures resulting from unintended consequences of the system's normal operations. The authors advise managers on how to mitigate the risk that algorithmic systems can cause organizational or social harm if left unchecked.