#human-evaluation

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#ai-generated-content #ai-detection #detection-workflow #ai-text-detection #automated-detectors
Artificial intelligence
fromFast Company
2 months ago

Detecting AI-written text is challenging, even for AI. Here's why

Reliable detection of AI-generated content is difficult but essential because enforcement of rules depends on accurate identification across varied contexts and tools.
fromFortune
2 months ago

It's starting to look like we'll never come up with a good way to tell what was written by AI and what was written by humans | Fortune

People and institutions are grappling with the consequences of AI-written text. Teachers want to know whether students' work reflects their own understanding; consumers want to know whether an advertisement was written by a human or a machine. Writing rules to govern the use of AI-generated content is relatively easy. Enforcing them depends on something much harder: reliably detecting whether a piece of text was generated by artificial intelligence.
Artificial intelligence
fromHackernoon
9 months ago

How Reliable Are Human Judgments in AI Model Testing? | HackerNoon

In our evaluation, questions are answered by three human annotators, and we consider majority votes the final answer to ensure reliability in our results.
Artificial intelligence
Artificial intelligence
fromMedium
10 months ago

The problems with running human evals

Running evaluations is essential for building valuable, safe, and user-aligned AI products.
Human evaluations help capture nuances that automated tests often miss.
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