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Facebook’s Artificial Intelligence Shut Down After It Creates Its Own Language

Mark Zuckerberg doesn't understand Artifical Intelligence, says Tech Business Magnet, Elon Musk

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Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay
  • Facebook shuts down AI program after the robot starts developing its own language to decide conclusion of the task
  • Researchers identify this when they find two bots in the lab having a seemingly gibberish exchange, which actually has semantic meanings
  • Tech business magnet, Elon Musk says that The Facebook CEO has a limited understanding of AI technology

New Delhi, August 2, 2017: Researchers at Facebook had to shut down the Artificial Intelligence program after the robot started to create its own language. It developed a system of code words to make the communication more efficient.

According to the Digital Media report, this one incident at Facebook is not first of its kind to have happened while working on AI programs, even in the past, an AI robot has diverged from its training to communicate in English and developed its own language. To a common man, that language may come off as “gibberish” but they contain semantic meaning when deciphered by experts and the AI ‘agents’.

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The researchers at Facebook noticed that their AI bot had given up on English and the new language it created was capable of communicating with other AI bots and deciding the future course of action as well. The language which at first appeared unintelligent to the researchers actually represented a task at hand, and a possible conclusion on how to proceed. They noticed this when two bots in the lab began to exchange with each other.

AI developers at other companies have observed a similar use of “shorthands” to simplify communication. At OpenAI, the artificial intelligence lab founded by Elon Musk, an experiment succeeded in letting AI bots learn their own languages.

At Google, the team working on the Translate service discovered that the AI they programmed had silently written its own language to aid in translating sentences.

Also Read: BENEFITS & RISKS OF ARTIFICIAL INTELLIGENCE

The Translate developers had added a neural network to the system, making it capable of translating between language pairs it had never been taught. The new language the AI silently wrote was a surprise.

This incident with Facebook’s AI failure made more news when Elon Musk, the founder of OpenAI made remarks on Zuckerberg’s AI faux pas. In an altercation at twitter, Elon said in one of his tweets that, Facebook CEO doesn’t have much understanding of the AI technology.

Facebook's AI creates own language; Forces Shutdown Click To Tweet

To which Mark Zuckerberg in a Live Q&A session responded, “Whenever I hear people saying AI is going to hurt people in the future, I think yeah, you know, technology can generally always be used for good and bad, and you need to be careful about how you build it and you need to be careful about what you build and how it is going to be used”.

There is not enough evidence to claim that these unforeseen AI divergences are a threat or that they could lead to machines taking over operators. They do make development more difficult, however, because people are unable to grasp the overwhelmingly logical nature of the new languages. In Google’s case, for example, the AI had developed a language that no human could grasp but was potentially the most efficient known solution to the problem.

Prepared by Nivedita Motwani. Twitter @Mind_Makeup


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Facebook Introduces Digital Training and Start-up hubs in India to Promote Digital Economy

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Facebook launched digital training in India
Facebook launched digital training in India.Pixaby.

New Delhi, Nov 23: Facebook on Wednesday introduced its digital training and start-up training hubs in India aimed at helping small businesses and people grow by giving them the digital skills they need to compete in today’s digital economy.

Facebook said it plans to train more than half a million people in the country by 2020 through these online training hubs, which are being rolled out first in India.

The learning curriculum which is personalised to the individual’s needs and available in English and Hindi on mobile, the social network, which is used by 217 million people in India, announced.

“We believe the best way to prepare India for a digital economy is by equipping people with the tools, knowledge, and skills they need to succeed,” said Ritesh Mehta, Head of Programmes, Facebook, India and South Asia.

To develop the learning curriculum, the social network worked with several organisations, including Digital Vidya, Entrepreneurship Development Institute of India (EDII), DharmaLife and the government’s StartupIndia initiative.

The curriculum includes vital skills for digital skill seekers and tech entrepreneurs, including how to protect their ideas, how to hire, how to go about getting funding, what regulations and legal hurdles they need to consider, how to build an online reputation, and a host of other critical skills.

This could mean teaching a small business owner how to create an online presence; helping a non-profit reach new communities and potential donors; or it could mean helping a tech entrepreneur turn their product idea into a startup through practical business advice.

Facebook said its digital training hub would provide free social and content marketing training for anyone – from students to business owners – who is looking to develop their digital knowledge and skills.

According to new research by Morning Consult in partnership with Facebook, small businesses use of digital translates into new jobs and opportunities for communities across the country.

Since 2011 Facebook has invested more than $1 billion to support small businesses globally.

The “Boost Your Business” and “SheMeansBusiness” initiatives have trained more than 60,000 small businesses, including 12,000 women entrepreneurs, in India, Facebook said. (IANS)

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Indian Railways to use artificial intelligence

Earlier, railways used a manual maintenance system

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Railways to use AI
Artificial Intelligence will also reduce the probability of delays and accidents to a great extent. Wikimedia Commons

New Delhi. November 21, 2017:

Aiming to reduce the possibilities of signals failing, Indian Railways has undertaken remote condition monitoring of the system, a new approach for the national transporter, to predict failures through the effective use of Artificial Intelligence.

The Signalling system is vital for safe train operations and the railways completely depend on the health of its signalling assets along with real-time information.

Currently, the railways follow a manual maintenance system and adopt find-and-fix methods rather than predict-and-prevent approach.

“Now, we are introducing remote condition monitoring using non-intrusive sensors for continuous online monitoring of signals, track circuits, axle counters and their sub-systems of interlocking, power supply systems including the voltage and current levels, relays, timers,” said a senior Railway Ministry official involved with the project.

The system entails the collection of inputs on a pre-determined interval and sending this to a central location.

As a result, any flaws or problems in the signalling system would be detected on a real-time basis and rectified to avoid possible delays and mishaps.

The failure of signals is one of the major reasons for train accidents and delays.

Currently, remote monitoring of signalling is operational in Britain.

The system envisages data transfer through a wireless medium (3G, 4G and high-speed mobile) and data based on these inputs will be utilised, with help of Artificial Intelligence (AI), for predictive and prescriptive Big Data analytics.

This will enable prediction of signalling asset failures, automated self-correction and informed decisions on intervention strategies, said the official.

The railways have decided that trial is taken up in two sections of Western Railway and South Western Railway at Ahmedabad-Vadodara and Bengaluru-Mysuru.

Depending on the feedback, the system would gradually be extended to other sections. (IANS)

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Facebook, Google, Bing and Twitter Join The Trust Project to Help Users Combat Fake News

In their bid to combat fake news and help readers identify trustworthy news sources, Facebook, Google, Twitter and several media organisations have joined the non-partisan "The Trust Project"

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To Combat Fake News
To Combat Fake News Facebook, Twitter , Google have joined 'The Trust Project'. PIxabay.

San Francisco, Nov 19: In their bid to combat fake news and help readers identify trustworthy news sources, Facebook, Google, Twitter and several media organisations have joined the non-partisan “The Trust Project”.

“The Trust Project” is led by award-winning journalist Sally Lehrman of Santa Clara University’s Markkula Centre for Applied Ethics.

Starting from Friday, an icon will appear next to articles in Facebook News Feed.

When you click on the icon, you can read information on the organisations’ ethics and other standards, the journalists’ backgrounds, and how they do their work.

“Leading media companies representing dozens of news sites have begun to display ‘Trust Indicators’. These indicators, created by leaders from more than 75 news organisations also show what type of information people are reading a” news, opinion, analysis or advertising,” the university said in a statement.

Each indicator is signalled in the article and site code, providing the first standardised technical language for platforms to learn more from news sites about the quality and expertise behind journalists’ work.

“Google, Facebook, Bing and Twitter have all agreed to use the indicators and are investigating and piloting ideas about how to best to use them to surface and display quality journalism,” the university said.

German press agency DPA, The Economist, The Globe and Mail, the Independent Journal Review, Mic, Italy’s La Republica and La Stampa, Trinity Mirror and The Washington Post are among the companies starting to go live with “Trust Indicators” this month.

The Institute for Non-profit News has developed a WordPress plug-in to facilitate broader implementation by qualified publishers.

“An increasingly sceptical public wants to know the expertise, enterprise and ethics behind a news story. The Trust Indicators put tools into people’s hands, giving them the means to assess whether news comes from a credible source they can depend on,” Lehrman explained.

The eight core indicators are: Best Practices; Author Expertise; Type of Work; Citations and References; Methods; Locally Sourced; Diverse Voices and Actionable Feedback.

New organisations like the BBC and Hearst Television have collaborated in defining the “Trust Indicator” editorial and technical standards, and in developing the processes for implementing these.

“Quality journalism has never been more important,” said Richard Gingras, vice president of news products at Google.

“We hope to use the Type of Work indicator to improve the accuracy of article labels in Google News, and indicators such as Best Practices and Author Info in our Knowledge Panels.”

“The Trust Indicators will provide a new level of accessibility and insight into the news that people on Facebook see day in and day out,” said Alex Hardiman, Head of News Products at Facebook.

A growing number of news outlets are expected to display the indicators over the next six months, with a second phase of news partners beginning implementation work soon. (IANS)