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How Youtube Is Driving Innovation?

 

Watching online videos on YouTube can be a passion to many people. According to TED’s head Chris Anderson, the online web videos are promoting a worldwide phenomenon called ‘Crowd Accelerated Innovation’. This is innovative as it is a self-fuelling cycle- people learn by themselves! YouTube has become a place for all the age groups to watch videos. Buy youtube subscribers. It has a massive viewership of 3.25 billion hours per month. So how is YouTube driving innovation? Here are 5 ways by which YouTube has positioned itself for driving innovation:

1. YouTube has helped to create a modern and global studio system:

Content or video marketing is quite easy. However, many people find the creative aspect as a barrier to the video making world. But when it comes to YouTube, it has helped creators in various ways. Understanding the equipment needed for making videos, editing and optimizing it is not always easy. YouTube has allowed the content creators to access YouTube Spaces, make 360-degree and HDR video, support virtual reality and live broadcasting at 4k. By providing such amazing features, YouTube has helped to innovate in the content creation market significantly.

 

2. YouTube has become a mobile-first experience:

A mobile phone can be carried anywhere. It is light, handy and easy to use. Not to mention, it opens any application in a split second. But this is not the case for computers. Such reasons have made mobiles the first choice for people. YouTube has created innovation, as it has understood what the viewers want and has created a mobile-first experience. This has led to more views on mobile than on computers!

 

 

 

3. YouTube’s new algorithm has increased the viewership:    

YouTube has created a new algorithm aimed at optimizing ‘watch time’. This algorithm has helped them in delivering videos to viewers that they want to watch. The result? Now 1 billion hours of video are watched on YouTube every day! So if you are a video creator or marketer, you need to take a note on this! Remember, that only good quality videos can surpass the quality!

 

4. YouTube is delivering to their user groups:

YouTube has successfully built a platform, where the needs of every user group has been taken care of! They understand that these user groups are the source behind the generation of their revenue. This has led to significant innovation, as they have started to offer virtual reality for people who are interested, built apps for gamers and kids and have collected data to provide a personalized and unique experience for their viewers.

 

5. YouTube has come up with the ‘Premium’ platform:

Amazon prime and Netflix offer tons of movies, TV shows and original content at a very minimum cost. To get in the game, YouTube has come with ‘YouTube Premium’. With various subscription plans, it offers an ad-free experience for its users. Aimed at their teenage audience, they offer tons of TV shows and movies that can be bought or rented out.

 

With dozens of features and their state-of-art experience, YouTube is a hub for driving innovation. Planning out what their users want to provide a platform where the creators can explore- YouTube has done it all to drive innovation!

 

Google’s New AI Ethics Lead Calls for More’ Diplomatic’ Conversation

 

In the aftermath of several months of congressional internal struggles and opponents, Google recently announced that it would reorganize its operations in the area of Artificial Intelligence ethics and place the others in the hands of VP Marian Croak, which will begin a new accountable AI Centre.

A six-minute video conversation with Croak Google published recently announcing the news makes no reference to former co-head of the Ethical AI team TimnitGebru, who abruptly shot Google late in 2020, or Ethical AI leader Margaret’ Meg’ Mitchell.

The release also doesn’t refer to the steps that the members of the AI Ethical group at Google are taking to address such a need to “rebuild trust.” Many members of the Ethical AI team have been told that they have learned of the change in management from a study released by Bloomberg last Wednesday evening.

“I’ve admired and sometimes even trusted Marian, who is a highly accomplished leading scientist. It’s really incredibly boring when she sees what Jeff Dean, as well as his subordinates, did towards me & my group as legitimizing,” Gebru told the media.

Throughout the video, and yet large language models were not mentioned, Croak describes self-driving cars as well as disease diagnostics techniques as potential fields of interest for the future. A recent AI study quoting a cross-spectrum of experts concludes that companies such as Google as well as OpenAI have only months to define standards on how well the negative aspects of large language models can be dealt with in society.

In the weeks after she was shot, the Ethical AI team as well called for Gebru to be reinstated in its previous role. The letter supported Gebru and opposed the so-called unprecedented research censorship, agreed to sign by more than 2,000 Googlers and thousands of others. Congress members are proposing laws to regulate algorithms as well-posed some queries in a letter to Google CEO Sundar Pichai more about the Gebru episode. The letter addressed a number of questions. Earlier this month, it appeared that two software makers, like April Curley and Gebru, resigned to protest Google’s treatment of black women.

Croak stated in Google’s today’s blog, and video posting that the fields of ethics and AI in responsibility need to be understood and called for a much more conciliatory tone to talk about how AI can harm people. Google established 2019 its AI principles, soon again when thousands of staff opposed participation in Project Maven in the US military.

 

 

“There is much dissension; therefore, there is much conflict in attempting to standardize a standardization of the normative definition for these principles and which definition of fairness and security will we use, and therefore there is a lot of conflict in this area right now; sometimes it can be polarised.

Croak said the new center would work internally to evaluate AI systems that are designed or used and also to “partner & mitigate potential harm.”

The Gebru episode on Google promised certain AI researchers not to review Google Research papers until the changes have been made. Shortly after Gebru was fired by Google, Reuters said that the company asked its scientists to give a positive tone to the difficult matters.

Crook’s appointment at Google Research as well as DeepMind, which Gooble acquired in 2014, marks the most recent controversial development throughout the top AI ethics ranks. Last month, DeepMind co-founder Mustafa Suleyman was deleted from the management of his company before leaving in 2019, following his bullying of coworkers, a Wall Street Journal reporting found. Suleyman as well served as DeepMind’s head of ethics in which he talked about climate as well as health care issues. Months later, Google hired Suleyman for a regulation and policy advisory position.

How Google conducts itself responsibly in the use of defense and AI against forms of algorithmic oppression is incredibly important because AI adoption throughout society and business is going to grow and also as Google would be a world leader in published AI research. A report conducted last autumn found that large-scale companies treat AI ethics finance in a manner similar to how big-tobacco firms funded health research decades ago.

Media had also reached Google in order to find out about the actions of Google employees as well as a number of other questions in order to reform internal practices.

 

Jigsaw’s AI-Powered Toxic Language Detector is Now Processing 500 Million Requests Daily

 

AI-powered API also for content moderation named the Prospects was released in 2017 by Google’s Counter-Business Technology Team as well as Jigsaw, Google’s parent company Alphabet. The NY Times, Open Web, Vox Media and Disqus are among media companies, and currently, Jigsaw revealed 500 million requests are processed daily.

While researchers have confirmed Point of view susceptible to various forms of prejudice, such as ethnic or racial prejudice, the company’s engineers say it enhanced its ability to find comments that contain objective hate speech as well as toxicity.

The Jigsaw CEO Jared Cohen said during a statement: Toxicity mostly on the Internet is an ongoing problem which has a disproportionate effect on marginalized groups, jeopardizes independent journalism, as well as undermines freedom of speech and good dialogue. “We commit ourselves to continuous training and retraining our models with the academic institutions and partners so that we are even more effective in identifying toxicity while minimizing bias to find better conversations.”

 

Perspective offers a value of 0-100, looking at the way in which related new comments will be previously toxic for others, which defines the likelihood of a comment leaving a talk for anyone. Editors could use Perspective in several ways, from providing readers with immediate results mostly on the toxicity of their remarks to empowering viewers to filter discussions based on their preferred level of toxicity. Jigsaw states that its AI can spread an evaluation of the “toxicity” of a sentence more precisely and rapidly than any human moderator than any keyword blacklist.

However, some auditors claim Outlook doesn’t equally moderate toxicity and hate among various populations. In a research study published by researchers at Oxford University, the Alan Turing Institute, Utrecht University as well as Sheffield University, the API Perspect struggles, especially with hate complaints quoting or referring to a hate speech. Only 15.6% of them are correctly classified by Perspective, based on their experimentation with such a purpose-built dataset, to 18.4%, and only 66% recognize the hate language using an abuse slur and 62.9% of non-protected groups like ‘capitalists’ and ‘artists’. They also say that the Outlook only acknowledges 54% of ‘recognized’ slurs as ‘queer’ and cannot capture variations of spelling such as missing characters, added spaces between spells and characters, with words instead of numbers.

A previous study by the University of Washington published in 2019 discovered that Perspective was much more likely than “white-aligned England” to label “Black-aligned English.” The co-authors saw correlations between the dialects as well as groups in their datasets as well as their Point of view Toxicity scores after feeding Perspective a sample of black and white users. They said that all correlations were significant, implying the prospective racial bias with all datasets.

 

 

Bias Mitigation

However, Jigsaw asserts to have advanced in mitigating its model preconditions. In 2019, the firm issued its claim that it was the most prominent public dataset of toxicity label as well as identity label comments as well as annotations. The corpus came from a Jigsaw competition which in April 2019 challenged enthusiasts to create a toxicity-recognizing and minimizing bias in respect of any identity mentioned. The very first release contained approximately 250000 identity commentaries, in which a comment was made by raters to indicate sexual orientation, ethnicity, gender allusions, race, religion, disability as well as mental illness. The new version added some 9000 human annotations, annotations which effectively teach the significance of toxicity to machine learners.

Enhanced data sets alone may not be sufficient to rectify some toxicity models in some respects, such that those at the core. Recently, researchers from the Allen Institute have studied the method for dealing with dialectal and lexical disturbances within hatred language training data, where ‘lexical distractions’ relate to toxicity associated with the presence of many words. In certain snippets, even models that were dependent on advanced techniques flagged text disproportionately, in particular text from either the black, as toxic, as per the researchers.

One interesting area of research in Jigsaw’s initial stages seeks to study how toxicity classification is provided to annotators from diverse backgrounds. The aim is about to what extent the history of somebody affects what they are seeing to be toxic and to use it to create a superior viewpoint by integrating it into the decision making of the person, mostly on the label.

Jigsaw is trying to explore modelling uncertainty, which could allow the models that also enable Perspective to understand whenever a particular chip of speech might have been wrong. The models now value the toxicity of every speech they are given, but they can make the decision never to rate speech with uncertainty modelling if there is a strong chance it can be misidentified.’

 

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How Youtube Is Driving Innovation?

  Watching online videos on YouTube can be a passion to many people. According to TED’s head Chris Anderson, the online web videos are promoting a worldwide phenomenon called ‘Crowd Accelerated Innovation’. This is innovative as it is a self-fuelling cycle- people learn by themselves! YouTube has become a place

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  Watching online videos on YouTube can be a passion to many people. According to TED’s head Chris Anderson, the online web videos are promoting a worldwide phenomenon called ‘Crowd Accelerated Innovation’. This is innovative as it is a self-fuelling cycle- people learn by themselves! YouTube has become a place

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