Artificial intelligence algorithms need large quantities of information. The methods used to obtain this data have raised concerns about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising concerns about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is additional exacerbated by AI's ability to process and combine large quantities of information, potentially leading to a security society where individual activities are constantly kept track of and examined without adequate safeguards or transparency.

Sensitive user information collected might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually recorded millions of private discussions and allowed short-lived workers to listen to and transcribe a few of them. [205] Opinions about this widespread security variety from those who see it as a needed evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have actually developed a number of strategies that try to maintain personal privacy while still obtaining the data, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have started to see personal privacy in regards to fairness. Brian Christian composed that professionals have actually pivoted "from the concern of 'what they know' to the concern of 'what they're finishing with it'." [208]
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer system code