Artificial intelligence algorithms require big quantities of data. The strategies used to obtain this data have raised concerns about privacy, surveillance and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT items, continually collect personal details, raising issues about intrusive information event and unapproved gain access to by third parties. The loss of personal privacy is additional worsened by AI's ability to process and integrate vast quantities of data, possibly causing a security society where private activities are constantly monitored and evaluated without adequate safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to construct speech acknowledgment algorithms, Amazon has actually recorded countless private conversations and enabled 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 needed evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have developed a number of methods that try to maintain privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to view personal privacy in regards to fairness. Brian Christian composed that professionals have pivoted "from the concern 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