Engineers are experiencing burnout syndrome due to the artificial intelligence race.
Since OpenAI released ChatGPT-3 in November 2022, there has been an arms race among major technology companies to launch their own artificial intelligence services and gain a competitive edge. However, there is evidence that the rush to release artificial intelligence products is having a significant impact on the engineers coding these projects.
Artificial intelligence engineers
According to CNBC, many artificial intelligence engineers from major technology companies claim that their superiors are pushing them too hard to release these products. An unnamed engineer at Microsoft alleges that the company is in an “artificial intelligence rat race.” Additionally, they claim that Microsoft prioritizes the speed of releasing artificial intelligence products over ethical and security concerns.
Microsoft did not respond to CNBC’s request for comment. However, the company recently released its first artificial intelligence responsibility and transparency report. They stated that they have established a Responsible AI Board regularly to improve security aspects in their artificial intelligence services.
The same CNBC report also features comments from an unnamed artificial intelligence engineer at Amazon. This team member alleges that they received a notification to work on an artificial intelligence project over the weekend while they were about to spend time with friends. The engineer claims to have worked over the weekend to complete the task, only for the project to be canceled.
Echoing the comments of the Microsoft employee, the same team member said that Amazon prioritizes releasing new artificial intelligence products faster rather than focusing on accuracy and testing.
An Amazon spokesperson stated that the company focuses on creating and implementing useful, reliable, and secure productive artificial intelligence innovations that redefine and improve customer experiences. The spokesperson did not deny the report from the unnamed Amazon engineer and only said, “Using a single employee’s anecdote to characterize the experience of all Amazon employees working in artificial intelligence is incorrect and misleading.”
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