State and Status of Air Power Assets in Afghanistan

For Selective viewing, please click on the link below:-

1 Introduction.

2. Perspective (1:28 onwards).

3. What all air power assets are in Afghanistan (4:13 onwards).

4. What is the status of air power assets in Afghanistan and their likely future (12:25 onwards).

5. China and Pakistan involvement (30:52 onwards).

6 Concluding thoughts 43:20 onwards).

 

Bottom Line

State  and status of Afghanistan air force and the air power assets is not good. External help would be required to build them up, operationalise them and operate them  .

 

Question

what in your view is the future of Afghanistan?

 

Suggestions and value additions are most welcome

 

For regular updates, please register here

Subscribe

 

 

Artificial Intelligence (AI) & the Fake News INFODEMIC

Internet users are inundated with info every single day. Each minute, there are approximately 98,000 tweets, 160 million emails sent, and 600 videos uploaded to YouTube.

To make critical decisions in life, one requires facts. People crave a way to sort through all the information to find valuable content, they can use.

 

The Fake News “Infodemic”

Since anyone has the ability to publish information on the internet, false / fake news can be generated very easily and it travels fast and can have dire consequences.

 

World desperately needs a way to discern truth from fiction in our news and public, political and economic discussions.

 

World’s largest social media networks (companies such as Facebook, Twitter, and others) have come under fire for the part they play in spreading fake news.

 

Artificial intelligence (AI)

Artificial Intelligence is spearheading the way towards eliminating fake and toxic news.

 

Technology and the Artificial intelligence (AI) tools are now on the job to combat the spread of misinformation on the internet and social platforms.

 

AI algorithms use natural language processing to understand and analyse text.

 

The AI models label the credibility of the source of the content with a rating of low, medium, high, and an article as reliable or unreliable based on comparisons of similar content from more than 100,000 sources.

 

The algorithms are checking not only content, but metadata and images too.

 

The algorithms also check the toxicity of content and can block out profane and obscene content.

 

Man Machine Interface

While AI is able to analyse the   enormous amounts of info generated daily on a scale that is impossible for humans, ultimately, humans need to be part of the process of fact-checking to ensure credibility.

 

Any solution for the purpose of verifying the veracity of news, images, and social discussions will have to to combine artificial intelligence and human intelligence.

 

Machines are adept at quickly analysing volumes of content. They can flag questionable items for review by a human fact-checker as well as become smarter over time with feedback from results.

 

Future Trajectory

AI-based fact checkers can be useful but they still are not fool proof.

 

As the pursuit of fighting fake news becomes more sophisticated, technology leaders will continue to work to find even better ways to sort out fact from fiction.

 

Deep learning can help automate and further refine the AI Tools that help in fake news and disinformation detection.

 

Bottom Line

It is still a Spy versus Spy game

 

Question

Will this problem be ever solved?

 

Suggestions and value additions are most welcome

 

For regular updates, please register here

Subscribe

References

https://www.forbes.com/sites/bernardmarr/2021/01/25/fake-news-is-rampant-here-is-how-artificial-intelligence-can-help/?sh=442daa9b48e4

https://www.mygreatlearning.com/blog/role-of-ai-in-preventing-fake-news-weekly-guide/

https://www.verdict.co.uk/social-media-hate-fake-news/

Knowing China Better:  Chinese Social Score System

 

China’s social credit system isn’t a world first but  it is unique.

Pic courtesy:https://www.bertelsmann-stiftung.de/fileadmin/files/aam/Asia-Book_A_03_China_Social_Credit_System.pdf

The Social Credit System is part of Xi Jinping’s vision for data-driven governance. 

 

The goal of the China social credit system is to provide a holistic assessment of an individual or a company’s trustworthiness.

 

The China social credit system, is an extension of existing social rankings and ratings in China which have existed for millennia.

 

The Social Score is a system that collects all kinds of data about citizens and companies, sorts, analyses, evaluates, interprets and implements actions based on it.

 

In concrete terms, this means that if you wait at a red light, you get plus points. If you pay your taxes and bills on time, you get plus points. If you are socially involved and accept the rules, you also get plus points.

 

If you have a good Social Score, you get unsolicited benefits for your social behaviour. These include, for example, faster visa application processing and more freedom to travel. When dating online, algorithms higher prioritize the own profile. Banks offer lower interest rates for company loans or private real estate purchases. People with a high Social Score are promoted faster and get better job offers.

 

However, people who go red, cut off someone while driving, spit on the street or stick their chewing gum under their seat get minus points.

 

Anyone who criticizes the state in social media or pays their bills too late also receives minus points.

 

The consequences of a poor social credit score could be serious. It may affect travel prospects, employment, access to finance, and the ability to enter into contracts. On the other hand, a positive credit score could make a range of business transactions for individuals and corporations much easier.

 

It is essential that any foreign business consolidating or establishing their presence in China seek professional advice for managing a social credit score. This applies both to individual scores, and the corporate social credit score. 

 

Machine (AI) based Implementation

Every country has laws, cultural norms, social morals and social agreements. The police, courts, politicians, administrations, media and citizens are involved in a constant dialogue; it determines what we define as right or wrong.

 

In China, this task has partly been taken over by Artificial Intelligence based machine i.e. controlling and managing the society – with machines instead of people. The machine decides on correct and incorrect behaviour.

 

Inputs are obtained from:

  • Financial Data
  • Digital Data (Internet websites, apps, videos and pictures visited/browsed)
  • Mobile Data (Calls and messages)
  • Health Data

 

The data is used to make individual profiles (Behaviour, movement and content).

 

Based on the profile credit scores are allotted and reviewed.

 

Based on the credit score the privileges are granted or curbed.

 

Ethical Issues

This system raises a lot of ethical questions related to freedom and privacy.

 

  • Who monitors the score, who imports the data and who configures the system?

 

  • How ethical and moral aspects (if any) are integrated?

 

 

  • Who monitors the system to prevent manipulation, and abuse of power?

 

  • What data is collected? Who has access to it?

 

 

  • How is the privacy of citizens and companies ensured?

 

  • Are only Chinese citizens monitored or all people on Chinese territory?

 

 

  • Does the government also collect data on Chinese people abroad?

 

End piece

Collecting data and setting up administrative systems to ensure protection, freedom and security for all concerned is a legitimate tool for states. However, as surveillance increases, privacy must be respected as long as the welfare of society is not affected.

 

Titbits

In China everyone’s movements are monitored continuously. In the AI based monitoring system besides face recognition, even gait recognition has been introduced to make it more fool proof.

 

 

Question

Do you approve of such a system?

 

Suggestions and value additions are most welcome

 

For regular updates, please register here

Subscribe

References

 https://www.wired.co.uk/article/china-social-credit-system-explained

 https://merics.org/en/report/chinas-social-credit-system-2021-fragmentation-towards-integration

 https://nhglobalpartners.com/china-social-credit-system-explained/

 https://www.bertelsmann-stiftung.de/fileadmin/files/aam/Asia-Book_A_03_China_Social_Credit_System.pdf