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

AI-powered gadgets and services, such as virtual assistants and IoT products, continually collect personal details, raising concerns about intrusive information event and unapproved gain access to by 3rd parties. The loss of personal privacy is further intensified by AI's ability to process and integrate vast amounts of information, potentially causing a surveillance society where individual activities are constantly monitored and analyzed without appropriate safeguards or transparency.

Sensitive user information gathered might include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually recorded countless private conversations and allowed short-term workers to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as an essential evil to those for whom it is plainly unethical and a violation of the right to personal privacy. [206]
AI developers argue that this is the only way to provide valuable applications and have developed numerous methods that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some personal privacy professionals, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian composed that experts have rotated "from the question of 'what they understand' to the concern of 'what they're doing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer code