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- 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
Power and Prediction: The Anti-Discrimination Opportunity
內容大綱
Whenever someone makes a decision that affects other human beings, their inherent biases and motivations are invisible. Whether it's an HR manager deciding which candidates to interview or a bank loan officer deciding who should receive a loan, chances are, people are not being treated equally. That might be about to change. The authors of Power and Prediction: The Disruptive Economics of Artificial Intelligence argue that if artificial intelligence (AI) can be placed at the heart of such decisions, objective benchmarks can be achieved, because AI cannot have explicit motivations to treat people differently. The authors see the potential for AIs to reduce discrimination in all sorts of decisions, from education to healthcare, banking and policing.