{"id":5959,"date":"2025-06-12T21:49:50","date_gmt":"2025-06-12T19:49:50","guid":{"rendered":"https:\/\/aitrends.center\/ethical-ai-training-how-oxylabs-is-redefining-consent-in-the-age-of-artificial-intelligence\/"},"modified":"2025-07-24T13:33:19","modified_gmt":"2025-07-24T11:33:19","slug":"etyczne-szkolenia-z-zakresu-sztucznej-inteligencji-jak-oxylabs-na-nowo-definiuje-zgode-w-erze-sztucznej-inteligencji","status":"publish","type":"post","link":"https:\/\/aitrendscenter.eu\/pl\/ethical-ai-training-how-oxylabs-is-redefining-consent-in-the-age-of-artificial-intelligence\/","title":{"rendered":"Szkolenie z etycznej sztucznej inteligencji: Jak Oxylabs na nowo definiuje zgod\u0119 w erze sztucznej inteligencji"},"content":{"rendered":"
\n

\nStep inside Lithuania\u2019s vibrant tech landscape, and you\u2019ll likely come across Denas Grybauskas of Oxylabs<\/a>. As the company\u2019s Chief Governance and Strategy Officer, he doesn\u2019t shy away from the tough stuff\u2014instead, he leads conversations around the ethical boundaries of artificial intelligence at a time when few others want to wrestle with the topic.\n<\/p>\n

\nWhat drives Grybauskas is a commitment to responsible progress. He\u2019s adamant that innovation in AI shouldn\u2019t leave accountability in the dust. \u201cEthical practices are deeply rooted in how we operate,\u201d Grybauskas shares. \u201cWhether it\u2019s making sure our proxy networks set a new ethical standard or ensuring that AI training data is responsibly sourced\u2014our approach always comes back to integrity.\u201d\n<\/p>\n

\nSince its founding in 2015, Oxylabs has carved out a reputation for pioneering projects. The company boasts one of the world\u2019s largest ethically sourced proxy networks, reaching 195 countries and totaling more than 177 million unique IPs. Their latest achievement takes things a step further: Oxylabs introduced what they say is the world\u2019s first YouTube datasets for AI training built entirely on creator consent. Every dataset, from the videos themselves to associated transcripts and metadata, is shared only with the clear approval of each content creator. In Grybauskas\u2019 words: \u201cWe\u2019re not just collecting data. We\u2019re building bridges between the creators of content and those fueling innovation, always with mutual respect at the heart.\u201d\n<\/p>\n

\nHe\u2019s convinced this idea of consent-driven data can go much further. Grybauskas envisions a future where everything from music to literature to digital art is systematically, simply, and fairly licensed for use in AI\u2014creating an ecosystem where everyone benefits and scaling up doesn\u2019t mean compromising on principle.\n<\/p>\n

\nBut bringing this to life is a constant balancing act. Negotiating between what\u2019s fair for creators and how quickly AI can develop is no easy road. Grybauskas points to ongoing debates, especially in the UK, highlighting why it\u2019s crucial to protect creator rights. \u201cYes, innovation is essential,\u201d he says, \u201cbut not at the creator\u2019s expense. They deserve to feel secure, not taken advantage of. Regulation must keep pace and protect that balance.\u201d\n<\/p>\n

\nOne criticism he often hears is that seeking consent might slow down progress. Grybauskas strongly disagrees. \u201cWe don\u2019t see an either\/or situation between innovation and ethics. We\u2019ve proven it\u2019s possible to have smart, scalable infrastructure that makes consent straightforward, not a hurdle. Our datasets are an example that robust tech can support both sides.\u201d\n<\/p>\n

\nOf course, pushing boundaries presents its own technical headaches. Structuring large amounts of highly varied data into workable pieces wasn\u2019t simple for Oxylabs, Grybauskas admits. But with years of experience and a solid backbone of technical know-how, the team managed to pull it off.\n<\/p>\n

\nFor Grybauskas, the ethical approach isn\u2019t just about doing the right thing\u2014it\u2019s also a way to bring more consistency to patchwork AI regulations across different countries. Simplifying how consent is obtained and honored could set a global standard, making ethical best practices the norm rather than the outlier.\n<\/p>\n

\nHe\u2019s equally passionate about the need for openness. Grybauskas believes that being transparent about how AI is trained isn\u2019t a vulnerability\u2014it\u2019s a foundation for rebuilding trust, which in turn paves the way for AI\u2019s long-term acceptance and success. It\u2019s a belief reflected in initiatives like Oxylabs\u2019 Ethical Web Data Collection Initiative and Project 4\u03b2, all focused on setting\u2014not just following\u2014the new rules of the game.\n<\/p>\n

\nHis final piece of advice for those entering the AI space? Don\u2019t see ethical data as a roadblock. In fact, Grybauskas is adamant that it\u2019s quickly becoming a competitive edge for those ready to embrace it.\n<\/p>\n

\nFor deeper insight into how Oxylabs is putting all this into practice, including the full interview with Denas Grybauskas, you can find the original article at Unite.AI<\/a>.\n<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Step inside Lithuania\u2019s vibrant tech landscape, and you\u2019ll likely come across Denas Grybauskas of Oxylabs. As the company\u2019s Chief Governance and Strategy Officer, he doesn\u2019t shy away from the tough stuff\u2014instead, he leads conversations around the ethical boundaries of artificial intelligence at a time when few others want to wrestle with the topic. What drives Grybauskas is a commitment to responsible progress. He\u2019s adamant that innovation in AI shouldn\u2019t leave accountability in the dust. \u201cEthical practices are deeply rooted in how we operate,\u201d Grybauskas shares. \u201cWhether it\u2019s making sure our proxy networks set a new ethical standard or ensuring that […]<\/p>\n","protected":false},"author":4,"featured_media":5960,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47,3],"tags":[],"class_list":["post-5959","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","category-ai-video","post--single"],"_links":{"self":[{"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/posts\/5959","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/comments?post=5959"}],"version-history":[{"count":1,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/posts\/5959\/revisions"}],"predecessor-version":[{"id":6587,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/posts\/5959\/revisions\/6587"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/media\/5960"}],"wp:attachment":[{"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/media?parent=5959"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/categories?post=5959"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aitrendscenter.eu\/pl\/wp-json\/wp\/v2\/tags?post=5959"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}