Machine Learning & Facebook’s Newsfeed Algorithms: Be Caution!

MACHINE LEARNING

  • YOU are about to give the computer a goal to build it. Why? Because it helps you to use it easier.
  • In another word, you request a computer to work out an outcome for you.
  • And then, the computer itself will learn how to code it, set it into an algorithm and bring out the best outcome possible for you.
  • This is the so-called “Machine Learning”.

Algorithms

In an easy way to understand:

  • Algorithms are opinions embedded in codes.
  • So imagine due to the commercial interests, opinions are usually profit;
  • then it helps them to build their own definition of success by coding their wanted algorithms

Machine Learning

  • But the problem of this is it keeps coding, changing the codes and doing the algorithms, again and again, to test you as a user to let it know whether you are satisfied with it or not.
  • So that is why no one is going to know what it is doing in order to achieve that goal – the latest and the best outcome.
  • The types of Machine Learning will help you see this a bit more details.

What if the machine changes itself?

  • As humans, we created machines, but the process of coding and algorithms are somehow being miscontrolled by ourselves, or even we don’t know where those algorithms will lead us to.
  • It’s pernicious! Like you know you got cancer, but you live with it without knowing what kind of cancer it is.
  • Whatever it is, you don’t know it, it will kill you! 

Above all, it controls us, more than we control it

It is a machine and the ram of its data storage is huge and durable longevity while we are humans, we are limited with our memory function, where our brain is the data storage.

You Think:

  • Our fate is a myth which we always seek for it. You know it lies in the future.
  • You hope one day we will meet the person who you will marry, the life mentor you always seek for, or even when you get rich.

Machines Think:

  • No! I knows who, whom, what and how things you are expecting to see, even when you are supposed to clash with.
  • But it problematizes the way you are living now, it waits for the right time when everyone is synced, they will unmask to you and let you know who they are – the one(s) controlling us.
  • If you are not sure, let this searching for the climate change show you and you can try it by yourself!

Yes, each of Big Tech company is trying to know you!

  • From what you write, what you film, even what you will be.
  • Fact check: they begin by a lot of suggestions and options offered for your end.
  • Do you think they make this for you to decide like democracy?
  • NO – They let machine learning form your things into texts, into numbers, into codes, and into algorithms.
  • And, they pour problems into you, then you react, they let machine sort the problems out.
  • If machine cannot make it, they will talk about the glitch computation issues. This sounds messy.
  • They try to manipulate you. Humans are being manipulated and. Something is turning human’s perceptions to be puppets or gadgets.
  • Those who control machine learning are responsible for this detrimental mistake because it is so unethical and immoral.

——————————————————————————-

FACEBOOK

We don’t need to see a robot killer appeared to trust!

  • By any chance, it should be well understood that embedded and latent biases are clearly seen by people outside of the technology world.
  • Assumedly, we have not seen any robot killers, which seem like a big physical picture drawn from sci-fi, but we do see due hugely to a narrow input set and inadvertent training to the Machine Learning system.
  • That harms us all!

Let’s imagine on Facebook!

  • You are about to text a girl you like,
  • you have searched out her profile,
  • but you don’t know how and when to open this relationship,
  • because of your human perception.
  • It does not know unfortunately or luckily, the machine knows you by your search.
  • They determine from your text, voice, and location.
  • They create fate for you to meet that girl!
  • Sounds great? Funny? 

NOW! Question yourself

  • when someone can easily interfere with your life like that and it looks like everything is so normal and legal.
  • Is that what you feel?
  • If so, it is a social dilemma.

Let’s think!

  • You never think you will do an action to attract someone you like, for instance, saying hello to her.
  • But the machine’s algorithms will show her online friends’ connection to your end.
  • That’s it. That’s it.
  • Are you triggered to check them out?
    Are you thinking to learn whom the girl always is so detect her character before you meet her?
  • Do you wish to have an app like a dating app to help you with that?

Don’t worry!

  • Facebook ads are blossoming out there!
  • They are trained algorithms to both attract and distract you.
  • This happens when you determine whether or not to connect with her after knowing who she is via online.
  • Apps are a parasite!
  • They attach to a bigger agent and survive over a win-win situation, which makes them some benefits too.
  • But you are being targeted by ads!

NOW! It’s not love anymore!

  • It’s a fight at which you should learn to protect yourself and community and the fair of your data being compromised.
  • So if it is a fight, make sure it is a fair fight!
Happening Now!
  • Facebook Facial Recognition allows you to tag your friends into your uploading photo. That is a machine learning algorithm in action.
  • Another example can be taken from Random Forest in the Xbox game, where it looks at your actions and play, and you don’t need a joystick.
  • Then virtual reality headsets function with superimposed images portrayed when turning your head.
  • Well, they are all monitoring by machine learning algorithms and connecting you to the game.

You should question!

  • So if I exhibit a difficult turn of my physical body, will machine learning algorithms anticipate with it?
  • The answer is YES. They know everything about you, except you, know nothing about them.

Facebook’s trick

  • Continue with Facebook, a simple trick that it can suggest tags in your photos, or what is supposed to come up in your newsfeed (have you ever questioned this?
  • Why the posts from a person you like to see always come first, same with videos, etc…).
  • If your response is yes, it’s good on you. But if it is no, it’s still ok. Why?
  • Because they are ML algorithms, they know you, they beat you, they satisfy you, and you feel happy while you don’t know how serious your data is being taken away, or stolen by Big Tech companies. 

Do you feel panic?

  • That’s good if you begin to panic.
  • Imagine that if you don’t like someone in the physical world, you can choose one-on-one communication to solve human’s real psychological matters with each other.
  • However, when it comes to the virtual world, you cannot fight with Artificial Intelligence.
  • The fight is not fair. You feel you are too passive now, don’t you?

You should feel so!

  • Humans are being overwhelmed by what we have invented.
  • Technology is a product of human intelligence and strengths.
  • However, we are not the same, not everyone can truly understand how algorithms work to manipulate them or help them.
  • Of course, we should think again, as humans, that some in our society are ubiquitously passive and consume technological products.
  • This leads [some of] us to be a product of technology indeed.

Facebook co-founder Sean Parker admitted recently that the platform was designed to exploit a vulnerability in human psychology, and ‘consume as much of your time and conscious attention as possible.’ 

Ramona Pringle, CBC News

You realize

  • How wrong that Facebook newsfeed from places are
  • Wikipedia.org where each person can give a customized definition, you have to pay to do so, but it gauges your interests. That’s so-called commercial interests. You are in a position of customer and provider, and money in the middle. Fair deal & Fair go. Win-Win situation. And it so likes Facebook, YouTube and Google.
  • Are they so cheap? Where are the qualities? Because it can come up with different results based on where you live. So it is not valued, it just keeps stockpiling the intangible learning guide. Scholarly, it can quantify the world, but it fails the quality.
  • Algorithms have their social power! – From what you search, people know your interests.

ACTON NOW

FOR YOUR PERSONAL

FOR LEGAL SERVICES

Outstanding learning capacities for human and AI

Legal

  • Refrain the monopoly of using users’ data. 
  • A vast trove of data must be kept safely by a third party agency which functions like a Department of Justice or Intelligence Service or Data Protection Vault.
  • Urging to legislate the Digital Rights, where it keeps everyone safe on the Internet and people’s data is kept safe for legal uses.
  • “Putting a price on data” is an Act where someone wants do to a business with their data in the circle of human rights and business rights.

Advocacy

  • Tighten human’s social values
  • Remain high tech developments
  • Harmonize AI developments and the resilient human society development as well
  • Good human leadership, which performs an integration with the high level of conscience and consciousness between the human values and machines.

Published by thedigeratipolitics

Johnny Hoang Nguyen studies Justice, Political Philosophy, and Law at HarvardX. He owns a dual Arts and Global Studies degree majored in Teaching and, International Relations and Politics at the Australian Catholic University.

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