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It also serves as a lesson to the growing list of large companies including Hilton Worldwide Holdings Inc () that are looking to automate portions of the hiring process. Employers have long dreamed of harnessing technology to widen the hiring net and reduce reliance on subjective opinions of human recruiters.

But computer scientists such as Nihar Shah, who teaches machine learning at Carnegie Mellon University, say there is still much work to do.

“I certainly would not trust any AI system today to make a hiring decision on its own,” he said.

“The technology is just not ready yet.” Some activists say they are concerned about transparency in AI.

With the technology returning results almost at random, Amazon shut down the project, they said.

Other companies are forging ahead, underscoring the eagerness of employers to harness AI for hiring.

It did not dispute that recruiters looked at the recommendations generated by the recruiting engine.

“We are increasingly focusing on algorithmic fairness as an issue,” said Rachel Goodman, a staff attorney with the Racial Justice Program at the ACLU.

Automation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions.

The company’s experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars - much like shoppers rate products on Amazon, some of the people said.

“How to ensure that the algorithm is fair, how to make sure the algorithm is really interpretable and explainable - that’s still quite far off,” he said.

FILE PHOTO: Brochures are available for potential job applicants at "Amazon Jobs Day," a job fair at the Fulfillment Center in Fall River, Massachusetts, U. REUTERS/Brian Snyder/File Photo Amazon’s experiment began at a pivotal moment for the world’s largest online retailer.

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It offers employers algorithmic rankings of candidates based on their fit for job postings on its site.