commit 139b571250700e9322915fbba1d33bceee140a66 Author: aileenbachus72 Date: Thu Apr 10 23:43:56 2025 +0200 Add 'AI Pioneers such as Yoshua Bengio' diff --git a/AI-Pioneers-such-as-Yoshua-Bengio.md b/AI-Pioneers-such-as-Yoshua-Bengio.md new file mode 100644 index 0000000..a528ef7 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms need large amounts of information. The strategies utilized to obtain this information have actually raised concerns about privacy, monitoring and copyright.
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[AI](http://suvenir51.ru)-powered gadgets and services, such as virtual assistants and IoT items, constantly collect individual details, raising concerns about invasive data gathering and unapproved gain access to by 3rd celebrations. The loss of privacy is more intensified by [AI](http://120.237.152.218:8888)'s capability to procedure and integrate vast amounts of information, possibly resulting in a surveillance society where private activities are constantly kept an eye on and analyzed without appropriate safeguards or transparency.
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Sensitive user information collected may consist of online activity records, geolocation data, video, or audio. [204] For instance, in order to build speech recognition algorithms, Amazon has taped countless personal conversations and permitted short-lived workers to listen to and transcribe a few of them. [205] Opinions about this prevalent surveillance range from those who see it as an essential evil to those for whom it is plainly dishonest and an infraction of the right to privacy. [206] +
[AI](https://git.manu.moe) developers argue that this is the only way to deliver valuable applications and have established a number of strategies that attempt to maintain privacy while still obtaining the data, such as information aggregation, de-identification and differential personal privacy. [207] Since 2016, some personal privacy specialists, such as Cynthia Dwork, have started to view personal privacy in terms of fairness. Brian Christian composed that professionals have pivoted "from the question of 'what they understand' to the concern of 'what they're making with it'." [208] +
Generative AI is frequently trained on unlicensed copyrighted works, including in domains such as images or computer code \ No newline at end of file