Artificial intelligence algorithms require large quantities of data. The methods used to obtain this data have raised issues about personal privacy, security and copyright.
AI-powered gadgets and services, such as virtual assistants and IoT products, constantly gather personal details, raising issues about intrusive data gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further worsened by AI's capability to process and integrate large amounts of information, possibly leading to a monitoring society where specific activities are constantly kept track of and analyzed without appropriate safeguards or openness.
Sensitive user information gathered might consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech recognition algorithms, Amazon has actually taped millions of private conversations and enabled short-term workers to listen to and transcribe a few of them. [205] Opinions about this extensive monitoring variety from those who see it as a needed evil to those for whom it is plainly dishonest and a violation of the right to privacy. [206]
AI developers argue that this is the only method to provide valuable applications and have actually established several strategies that try to maintain personal privacy while still obtaining the information, such as data aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to view privacy in regards to fairness. Brian Christian wrote that professionals have actually 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
1
AI Pioneers such as Yoshua Bengio
catharine53i07 edited this page 2 months ago