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SSRNML & AI Methods

Risks of Institutional Black Boxes

The article explores the 'black boxes' in machine learning systems, differentiating between 'algorithmic black boxes' that are complex for human understanding, and 'institutional black boxes' that are confidential due to business or economic reasons, advocating for more transparency in machine learning usage in public institutions.

Featured in No. 68 on 3 Oct 2024 ·

Released
19 Apr 2024
First featured
No. 68 · 3 Oct 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4971723

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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