Add 'AI Pioneers such as Yoshua Bengio'

AI-Pioneers-such-as-Yoshua-Bengio.md

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+<br>Artificial intelligence algorithms require big amounts of information. The methods used to obtain this data have raised concerns about personal privacy, surveillance and copyright.<br>
+<br>AI-powered devices and services, such as virtual assistants and IoT items, constantly gather personal details, raising concerns about intrusive information gathering and unapproved gain access to by 3rd parties. The loss of personal privacy is further intensified by [AI](https://pipewiki.org)'s ability to procedure and integrate vast amounts of information, possibly resulting in a security society where individual activities are continuously monitored and examined without appropriate safeguards or transparency.<br>
+<br>Sensitive user information collected may include online activity records, geolocation data, video, or audio. [204] For instance, in order to develop speech acknowledgment algorithms, Amazon has actually recorded millions of private discussions and permitted short-term workers to listen to and transcribe some of them. [205] Opinions about this extensive security variety from those who see it as an essential evil to those for whom it is plainly dishonest and a violation of the right to personal privacy. [206]
+<br>AI developers argue that this is the only method to provide valuable applications and have actually established numerous strategies that try to maintain personal privacy while still obtaining the information, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have begun to view personal privacy in terms of fairness. Brian Christian composed that specialists have pivoted "from the question of 'what they understand' to the concern of 'what they're making with it'." [208]
+<br>Generative AI is often trained on unlicensed copyrighted works, consisting of in domains such as images or computer system code