The quest for interpretable and responsible artificial intelligence

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)16-19
Number of pages4
JournalThe Biochemist
Volume41
Issue number5
DOIs
Publication statusPublished - 18 Oct 2019

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