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Other images were more mundane, such as pictures of dogs and funny road signs that employees made into memes by embellishing them with amusing captions or commentary before posting them in private group chats.

The sharing of sensitive videos illustrates one of the less-noted features of artificial intelligence systems: They often require armies of human beings to help train machines to learn automated tasks such as driving.

Since about 2016, Tesla has employed hundreds of people in Africa and, later, the United States to label images to help its cars learn how to recognise pedestrians, street signs, construction vehicles, garage doors and other objects encountered on the road or at customers’ houses.

David Choffnes, executive director of the Cybersecurity and Privacy Institute at Northeastern University in Boston, called sharing of sensitive videos and images by Tesla employees “morally reprehensible”.

In February, the Dutch Data Protection Authority (DPA) said it had concluded an investigation of Tesla over possible privacy violations regarding Sentry Mode, a feature designed to record any suspicious activity when a car is parked and alert the owner.

As with many artificial intelligence projects, to develop Autopilot, Tesla hired data labellers to identify objects in images and videos to teach the system how to respond when the vehicle was on the road or parked.

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