Denas Grybauskas, Chief Governance and Strategy Officer at Oxylabs – Interview Series

Denas Grybauskas is the chief official in government and strategy in Oxylabs, a global pioneer in the Web Intelligence Collection and excellent agent solutions.

Oxylabs was founded in 2015, and provides one of the largest agent networks from ethical sources in the world-which exceeds 177 million IPS in 195 countries-along with advanced tools such as Web Offline, Web Scriper API and Oxycopilot, an AI’s embodiment assistant that converts the natural language into structural data pleadings.

I went through a legal journey and impressive governance through the field of legal technology in Lithuania. What pushed you personally to address one of the most polarized challenges in Amnesty International – then and copyright – in your role in Oxylabs?

Oxylabs has always been the science holder for innovation responsible in this industry. We were the first to defend the ethical manufacturing standards and start on the Internet. Now, as artificial intelligence moves very quickly, we must make sure that innovation is balanced with responsibility.

We have seen this big problem facing artificial intelligence, and we can also see the solution. By providing these data groups, we enable Amnesty International companies and companies to be on the same page regarding the development of a fair AI, which is useful to all concerned. We knew how important it is to preserve the rights of creators in the foreground, but we also provide content to develop future AI systems, so we created these data groups as something that could fulfill the requirements of today’s market.

The UK is in the midst of the battle of hot copyright, with strong voices on both sides. How do you explain the current situation of discussion between creating artificial intelligence and the rights of the creator?

Although it is important for the UK government to prefer productive technological innovation as a priority, it is important for creators to feel enhanced and protecting by artificial intelligence, not theft. The legal framework that is currently taking place must find a great place between enhancing innovation, at the same time, to protect creators, and I hope in the coming weeks to see them find a way to balance.

Oxylabs has just launched the world’s first ethical ethical data sets, which requires the creator’s approval to train artificial intelligence. How does this approval process work exactly – and how much can expand in other industries such as music or publishing?

All millions of original videos in data collections have explicit approval from creators to use in artificial intelligence training and morally creative and innovators. All data collections of Oxylabs include videos, texts, and rich descriptive data. Although this data has many possible use, Oxylabs has been refined and prepared specifically to tract artificial intelligence, which is the use of the content of the content intentionally.

Many technology leaders argue that the explicit adherence request from all creators can “kill” the artificial intelligence industry. What is your response to this claim, and how does Oxylabs appeal otherwise?

This requires, for every use of materials to train artificial intelligence, that there is a previous explicit inspection that represents great operational challenges and will come at a great cost to innovate artificial intelligence. Instead of protecting the rights of creators, companies can unintentionally motivate development activities into judicial states with less stringent enforcement or various copyright systems. However, this does not mean that there can be no medium floor in which the development of artificial intelligence is encouraged during the respect of copyright. On the contrary, what we need is applicable mechanisms to simplify the relationship between artificial and creative intelligence companies.

These data groups provide one approach to go ahead. The cancellation of the subscription, which can be used with content that can be used unless the copyright owner is explicitly chosen, is another. The third method is to facilitate the creation of deals between publishers, creators and artificial intelligence companies through technological solutions, such as online platforms.

In the end, any solution should be within the limits of copyright and data laws in force. In Oxylabs, we believe that artificial intelligence must be pursued with responsibility, and our goal is to contribute to the legal practical frameworks that respect creators while enabling progress.

What are the biggest obstacles that your team had to overcome to make the data based on consent is viable?

The path has been opened for us by YouTube, enabling the content of the content to license their work easily and easily in training artificial intelligence. After that, our work was mostly technically, as it includes collecting, cleaning and structuring data to prepare data collections, and building fully technical preparation for companies to access the data they needed. But this is something that we have been doing for years, in one way or another. Of course, each case offers a set of challenges, especially when you deal with a huge and complex thing like multimedia data. But we had both knowledge and technical ability to do so. Looking at this, as soon as YouTube authors get the opportunity to give approval, the rest was only a matter in our time and resources in it.

Besides YouTube content, do you imagine in the future where other main content – such as music, writing, or digital art – can also be licensed to use as training data?

For a while now, we refer to the need for a systematic approach to agree to provide content and license content in order to enable innovation from artificial intelligence while balanced with the rights of the Creator. Only when there is a comfortable and cooperative way for both sides to achieve their goals, there will be mutual benefit.

This is just the beginning. We believe that providing data groups such as a group of our industries can finally provide a copyright discussion to a friendly end.

Is the importance of offers, such as the ethical data groups of Axilab, depending on the different artificial governance curricula in the European Union, the United Kingdom and other judicial states?

On the one hand, the availability of databases based on the explicit menu at the level of the field of artificial intelligence companies stationed in the judicial states where governments tend to touched regulation. The main concern of these companies is that, instead of supporting creators, strict rules for approval will only give an unfair advantage to artificial intelligence developers in other judicial states. The problem is not that these companies do not care about approval, but rather without a comfortable way to get them, they are convicted of backwardness.

On the other hand, we believe that if the approval grants are simplified and the data licensed to train artificial intelligence is simplified, there is no reason that this approach does not become the preferred way in the world. Our data -based data sets are the step -by -step YouTube content towards this simplification.

With the increased general confidence towards how to train artificial intelligence, how do you think transparency and approval can become competitive advantages for technology companies?

Although transparency is often considered an obstacle on the competitive edge, it is one of our greatest weapons to fight lack of confidence. The more transparency companies that artificial intelligence companies can provide, the more evidence of moral and useful training, thus rebuilding confidence in the artificial intelligence industry. Consequently, creators who see that they and society can get a value from the innovation of artificial intelligence will have a greater reason to give approval in the future.

Oxylabs is often associated with data and web intelligence. How does this new moral initiative fit with the broader vision of the company?

YouTube data groups continue to be released from ethical sources in our mission in Oxylabs to create and enhance ethical industry practices. As part of this, we participated in establishing the EwDCI Ethical Data Initiative and presented a transparent framework of the first level of the agent. We also launched Project 4β as part of our mission to enable researchers and academics to increase their research influence and enhance the understanding of critical general web data.

If we look at the future, do you think governments should impose a separate approval for training data, or should it remain a voluntary initiative led by industry?

In the free market economy, it is generally better to allow the market to correct itself. By allowing innovation to develop in response to the needs of the market, we are constantly inventing and renewing our prosperity. Heavy legislation is not a good initial choice and should only be resorted to when all other ways to ensure justice while allowing innovation have exhausted.

We do not seem to have already reached this point in training artificial intelligence. YouTube licensing options for our creators and data groups show that this ecosystem is actively looking for ways to adapt to new facts. Thus, although the clear organization, of course, is required to ensure that everyone will act within their rights, governments may want to walk lightly. Instead of asking for an expression approval in each case, they may want to study the methods in which industries can develop mechanisms to solve current tensions and take their signals from that when legislation to encourage innovation rather than hindrance.

What advice do you give to startups and artificial intelligence developers who want to determine the priorities of using ethical data without stopping innovation?

Strain companies can help facilitate the use of ethical data by developing technological solutions to simplify the process of obtaining approval and deriving value for creators. With options to get sources of sources with transparency, artificial intelligence companies do not need a medium on speed; Therefore, I advise them to keep their eyes open for such offers.

Thank you for the wonderful interview, readers who want to know more Oxylabs.