Artificial intelligence algorithms need big amounts of information. The strategies used to obtain this data have raised issues about personal privacy, monitoring and copyright.

AI-powered devices and services, such as virtual assistants and IoT items, continually gather personal details, raising issues about invasive information gathering and unauthorized gain access to by 3rd celebrations. The loss of personal privacy is more intensified by AI's ability to process and integrate huge amounts of data, potentially leading to a surveillance society where individual activities are constantly kept track of and analyzed without sufficient safeguards or openness.

Sensitive user data collected might include online activity records, geolocation information, video, or audio. [204] For instance, in order to construct speech acknowledgment algorithms, Amazon has recorded millions of personal conversations and enabled momentary employees to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance range from those who see it as a necessary evil to those for whom it is plainly unethical and an offense of the right to personal privacy. [206]
AI designers argue that this is the only way to deliver important applications and have actually developed numerous techniques that attempt to maintain personal privacy while still obtaining the information, such as information 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 specialists have actually pivoted "from the concern of 'what they understand' to the question of 'what they're finishing with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code