The Economic Times
English EditionEnglish Editionहिन्दी
| E-Paper
AI wrestles with a replication crisis as scientists address transparency issues
Getty Images

Artificial intelligence

AI wrestles with a replication crisis as scientists address transparency issues

An AI cancer detection microscope by Google is seen during the World Artificial Intelligence Conference 2018


A growing number of scientists are pushing back against a perceived lack of transparency in AI research, citing instances where such work doesn’t provide access to code, data, and hardware. This hinders replication, and further development. Such research, they add, is more like an advertisement for smart technology than addition to scientific knowledge.

By Emily LuongLast month Nature published a damning response written by 31 scientists to a study from Google Health that had appeared in the journal earlier this year. Google was describing successful trials of an AI that looked for signs of breast cancer in medical images. But according to its critics, the Google team provided so little information about its code and how it was tested that the study amounted to nothing more than a promotion of
Share This Article
  • SAVE

Sign in to read the full article

You’ve got this Prime Story as a Free Gift

Why ?

  • Sharp Insight-rich, Indepth stories across 20+ sectors

  • Access the exclusive Economic Times stories, Editorial and Expert opinion

  • Clean experience with
    Minimal Ads
  • Comment & Engage with ET Prime community
  • Exclusive invites to Virtual Events with Industry Leaders
  • A trusted team of Journalists & Analysts who can best filter signal from noise
The Economic Times