Artificial intelligence algorithms require large quantities of information. The methods used to obtain this information have raised issues about privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd parties. The loss of privacy is more intensified by AI's ability to procedure and integrate huge amounts of data, possibly leading to a surveillance society where specific activities are constantly monitored and analyzed without sufficient safeguards or transparency.

Sensitive user information collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually recorded millions of personal conversations and allowed short-term workers to listen to and transcribe a few of them. [205] Opinions about this widespread security variety from those who see it as a necessary evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have developed several strategies that try to maintain privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually begun to see privacy in terms of fairness. Brian Christian wrote that professionals have rotated "from the concern of 'what they understand' to the question of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code