Artificial intelligence algorithms require large quantities of data. The methods used to obtain this information have actually raised concerns about privacy, security and copyright.
AI-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising issues about intrusive information event and unauthorized gain access to by third parties. The loss of privacy is additional intensified by AI's ability to process and integrate huge quantities of information, possibly resulting in a security society where private activities are constantly kept track of and analyzed without appropriate safeguards or openness.
Sensitive user data gathered may consist of online activity records, geolocation information, video, or audio. [204] For example, in order to develop speech acknowledgment algorithms, Amazon has tape-recorded countless personal conversations and permitted short-lived employees to listen to and transcribe some of them. [205] Opinions about this extensive surveillance variety from those who see it as a required evil to those for whom it is plainly dishonest and an infraction of the right to personal privacy. [206]
AI designers argue that this is the only way to deliver important applications and have developed a number of methods that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some privacy professionals, such as Cynthia Dwork, have started to see personal privacy in terms of fairness. Brian Christian wrote that professionals have rotated "from the concern of 'what they understand' to the concern of 'what they're making with it'." [208]
Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer system code
1
AI Pioneers such as Yoshua Bengio
colettelindt4 edited this page 3 weeks ago