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AI testers resist traditional labels, adopt 'validation engineering'

AI professionals are reportedly avoiding traditional testing terminology, opting for terms like "evals" or "validation engineering" instead of "testers" or "QA/QE." This shift in language suggests a desire to differentiate AI testing as a distinct discipline, although the article argues that it shares similarities with established practices in embedded device testing, which has long dealt with non-deterministic results. AI

IMPACT This linguistic shift may indicate a growing professional identity within AI testing, potentially influencing how the field is perceived and regulated.

RANK_REASON The item is an opinion piece discussing terminology used in AI testing.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI testers resist traditional labels, adopt 'validation engineering'

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Commentary
The item is an opinion piece discussing terminology used in AI testing.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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opinion
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Standard
On-topic for AI-industry coverage; kept in the public index.
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91 days old
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    People who are # testing # AI *really* don't like to be called # testers . First there were "#evals" instead of tests, now it's "#validationEngineering" instead

    People who are # testing # AI *really* don't like to be called # testers . First there were "#evals" instead of tests, now it's "#validationEngineering" instead of QA/QE. It's almost as if, because they're testing AI, they want to claim it's a completely different discipline. Hin…