Artificial intelligence algorithms need large amounts of data. The strategies utilized to obtain this data have raised issues about personal privacy, security and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect individual details, raising concerns about intrusive information event and unapproved gain access to by third celebrations. The loss of personal privacy is more worsened by AI's capability to process and combine huge amounts of information, possibly causing a monitoring society where individual activities are continuously kept an eye on and evaluated without appropriate safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has actually recorded countless personal conversations and enabled temporary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent monitoring range from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206]
AI designers argue that this is the only method to provide important applications and have established numerous strategies that attempt to maintain privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have actually started to view personal privacy in terms of fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code