AI ethics and governance: Where will you draw the line?
Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. Here’s a framework to protect your organization.
Enterprises must address complex ethical issues surrounding AI or risk exposure to myriad financial, legal, and reputational risks. Here’s a framework to protect your organization.
Market research is essentially a prediction problem. MIT Sloan’s John Horton says organizations should consider using generative AI to simulate the effects of their decisions before they make them.
MIT Sloan professor Andrew Lo says Al is good at explaining trade-offs and exploring scenarios but weak at precise tax optimization, math, and regulatory compliance.
Data regulation doesn’t necessarily cause economic harm. Markets — and consumers — can still derive economic benefits from data collection when it’s tempered by reasonable privacy guardrails.
Artificial intelligence can boost the systematic innovation of products, processes, and services. MIT Sloan professor Steven Eppinger offers four steps for making that happen.
New research from MIT Sloan School of Management examines how the integration of mobile touchpoints with existing technologies impacts the efficiency and equity of non-emergency complaints for cities
Check out the latest press coverage of the Golub Center for Finance and Policy–affiliated research, analysis, and working papers.
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