Artificial intelligence algorithms require large quantities of data. The techniques used to obtain this data have actually raised concerns about privacy, monitoring and copyright.

AI-powered gadgets and services, such as virtual assistants and IoT products, continuously collect personal details, raising issues about invasive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is additional worsened by AI's ability to process and combine vast amounts of information, possibly resulting in a surveillance society where individual activities are constantly monitored and evaluated without sufficient safeguards or openness.

Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has taped millions of private conversations and enabled temporary employees to listen to and transcribe a few of them. [205] Opinions about this widespread monitoring range from those who see it as a necessary evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
AI developers argue that this is the only method to provide important applications and have established several strategies that try to maintain personal privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy experts, such as Cynthia Dwork, have actually begun 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 making with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer system code