AI and Machine Learning
Auditing Algorithmic Risk
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
Large language models
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AI and Machine Learning
Will Large Language Models Really Change How Work Is Done?
Even as organizations adopt increasingly powerful LLMs, they will find it difficult to shed their reliance on humans.
Peter Cappelli, Prasanna Tambe, and Valery Yakubovich
AI and Machine Learning
The Working Limitations of Large Language Models
Overestimating the capabilities of AI models like ChatGPT can lead to unreliable applications.
Mikhail Burtsev, Martin Reeves, and Adam Job
AI and Machine Learning
Use Open Source for Safer Generative AI Experiments
Commercial AI services can put proprietary data at risk — but there are alternatives.
Aron Culotta and Nicholas Mattei
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