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RECOMMENDED NON TECH READING Spy agencies, religion, the Mafia, and 14th century British history After several great discussions about recommended reading at the tech conferences I attended in 2019, I promised once again to publish my non-tech reading list. My favourite paper book this year was “ Army of None ”.
The government of the Netherlands resigned in 2021 after an algorithmic system wrongly accused 20,000 families–disproportionately minorities–of tax fraud. Systemdesigns can be wrong. What if a named entity recognition (NER) system, based on a cutting-edge large language model (LLM), fails for Chinese, Cyrillic, or Arabic text?
This working paper was submitted as a chapter in The International Handbook of Lean Organization , Cambridge University Press, Forthcoming. So small changes were submitted, reviewed, and integrated into the live code base as quickly as possible. What current – and future – technologies can we use to lower their costs?
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