Artificial intelligence algorithms require large quantities of information. The strategies used to obtain this information have actually raised issues about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually collect individual details, raising issues about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's ability to process and integrate large amounts of data, potentially resulting in a monitoring society where specific activities are continuously kept an eye on and examined without adequate safeguards or transparency.

Sensitive user data collected may include online activity records, geolocation information, video, or audio. [204] For example, in order to construct speech recognition algorithms, Amazon has actually recorded countless private conversations and permitted short-term workers to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance variety from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to deliver important applications and have developed numerous techniques that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have begun to see personal privacy in regards to fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they know' to the concern of 'what they're making with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code