The quest for interpretable and responsible artificial intelligence

Vaishak Belle

doi:10.1042/BIO04105016

The quest for interpretable and responsible artificial intelligence

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applications in computational biology, finance, law and robotics. However, such a highly positive impact is coupled with significant challenges: how do we understand the decisions suggested by these systems in order that we can trust them? How can they be held accountable for those decisions?

Original language	English
Pages (from-to)	16-19
Number of pages	4
Journal	The Biochemist
Volume	41
Issue number	5
DOIs	https://doi.org/10.1042/BIO04105016
Publication status	Published - 18 Oct 2019

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The quest for interpretable and responsible artificial intelligence

Abstract

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