From ec7f76e46397050169b726707b78eb475797a19f Mon Sep 17 00:00:00 2001 From: israelwaite263 Date: Mon, 17 Feb 2025 16:57:20 +0800 Subject: [PATCH] Add 'AI Pioneers such as Yoshua Bengio' --- AI-Pioneers-such-as-Yoshua-Bengio.md | 5 +++++ 1 file changed, 5 insertions(+) create mode 100644 AI-Pioneers-such-as-Yoshua-Bengio.md diff --git a/AI-Pioneers-such-as-Yoshua-Bengio.md b/AI-Pioneers-such-as-Yoshua-Bengio.md new file mode 100644 index 0000000..4d540e3 --- /dev/null +++ b/AI-Pioneers-such-as-Yoshua-Bengio.md @@ -0,0 +1,5 @@ +
Artificial intelligence algorithms need big quantities of information. The methods used to obtain this information have actually raised concerns about personal privacy, monitoring and copyright.
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[AI](https://drshirvany.ir)-powered gadgets and services, such as virtual assistants and IoT items, constantly collect personal details, raising issues about invasive data gathering and unapproved gain access to by 3rd parties. The loss of privacy is more worsened by [AI](https://repo.serlink.es)'s ability to procedure and combine vast quantities of data, potentially causing a security society where specific activities are constantly monitored and analyzed without appropriate safeguards or transparency.
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Sensitive user data gathered might 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 enabled short-term employees to listen to and transcribe a few of them. [205] Opinions about this extensive monitoring variety 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](http://xunzhishimin.site:3000) developers argue that this is the only way to deliver valuable 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 privacy. [207] Since 2016, some privacy specialists, such as Cynthia Dwork, have begun to see personal privacy in terms of fairness. Brian Christian wrote that specialists have actually pivoted "from the question of 'what they understand' to the question of 'what they're doing with it'." [208] +
Generative [AI](https://community.cathome.pet) is frequently trained on unlicensed copyrighted works, consisting of in domains such as images or computer code \ No newline at end of file