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

AI-powered gadgets and services, such as virtual assistants and IoT items, constantly collect personal details, raising concerns about invasive data gathering and unauthorized gain access to by third celebrations. The loss of personal privacy is more intensified by AI's ability to procedure and integrate huge amounts of data, potentially leading to a monitoring society where individual activities are continuously monitored and analyzed without adequate safeguards or openness.

Sensitive user information gathered may consist of online activity records, geolocation data, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has taped countless personal discussions and permitted short-term employees to listen to and transcribe a few of them. [205] Opinions about this widespread surveillance range from those who see it as a necessary evil to those for whom it is plainly dishonest and an offense of the right to personal privacy. [206]
AI designers argue that this is the only method to provide valuable applications and bytes-the-dust.com have developed numerous strategies that attempt to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have actually begun to see privacy in regards to fairness. Brian Christian composed that professionals have pivoted "from the concern of 'what they know' to the concern of 'what they're doing with it'." [208]
Generative AI is typically trained on unlicensed copyrighted works, including in domains such as images or computer code