Artificial intelligence algorithms need large amounts of information. The methods used to obtain this information have actually raised concerns about personal privacy, surveillance and copyright.

AI-powered devices and services, such as virtual assistants and IoT products, continually collect individual details, raising concerns about invasive data event and unauthorized gain access to by 3rd celebrations. The loss of privacy is additional exacerbated by AI's ability to procedure and combine huge amounts of information, potentially resulting in a security society where specific activities are constantly kept track of and evaluated without adequate safeguards or openness.

Sensitive user data gathered might include online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech recognition algorithms, Amazon has taped countless private conversations and enabled temporary workers to listen to and transcribe a few of them. [205] Opinions about this extensive surveillance range from those who see it as a necessary evil to those for whom it is plainly unethical and a violation of the right to privacy. [206]
AI designers argue that this is the only method to provide valuable applications and have developed numerous strategies that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential privacy. [207] Since 2016, some privacy experts, such as Cynthia Dwork, have actually begun to view personal privacy in regards to fairness. Brian Christian composed that experts have actually pivoted "from the concern of 'what they know' to the question 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 code