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Machine learning is helping auto lenders make better decisions

37 点作者 resalisbury超过 6 年前

6 条评论

benj111超过 6 年前
The title has been changed from the article, and I think slightly misses the point.<p>Plus ML can be more biased than humans (or more biased than we will admit to) <a href="https:&#x2F;&#x2F;www.bbc.co.uk&#x2F;news&#x2F;technology-45809919" rel="nofollow">https:&#x2F;&#x2F;www.bbc.co.uk&#x2F;news&#x2F;technology-45809919</a>
dhh2106超过 6 年前
Here&#x27;s the main study cited in the article: <a href="https:&#x2F;&#x2F;papers.ssrn.com&#x2F;sol3&#x2F;papers.cfm?abstract_id=3301009" rel="nofollow">https:&#x2F;&#x2F;papers.ssrn.com&#x2F;sol3&#x2F;papers.cfm?abstract_id=3301009</a><p>&quot;We find that the same minority applicants who faced lower approval rates on auto loans do not face lower approval rates on credit cards, even during the same year. This finding suggests that the human element of auto lending, rather than differences in hard information, leads to the lower approval rates for minorities.&quot;
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Iwan-Zotow超过 6 年前
&quot;make better decisions&quot; as making themselves richer and consumers poorer?
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m0zg超过 6 年前
Makes sense. Just don&#x27;t use race, gender, or ethnicity as a feature in the model and those factors _per_se_ won&#x27;t be a consideration. Their correlates might still be a consideration, however, so it&#x27;s not an entirely &quot;fair&quot; system, in the social-justice sense. Bias generated in meatspace will still affect it indirectly.
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apocalypstyx超过 6 年前
&quot;Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.&quot;<p>&quot; &#x27;Thou shalt not make a machine in the likeness of a man&#x27;s mind,&#x27; &quot; Paul quoted.<p>&quot;Right out of the Butlerian Jihad and the Orange Catholic Bible,&quot; she said. &quot;But what the O.C. Bible should&#x27;ve said is: &#x27;Thou shalt not make a machine to counterfeit a human mind.&#x27;
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ralph84超过 6 年前
I guess it&#x27;s, like, the author&#x27;s style to use the ..., like, ... construction, but that makes it no less annoying.
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