Skip to main content

COPYRIGHT REFORM

 


Today's copyright laws are even taking away everyday freedoms. In chapter two of the book 

"The Case For Copyright Reform" (link below) he explains very well why copyright reform should be considered. He lays out a proposal for what a two-sided approach to copyright use might look like. In other words, a fair distribution of rights. Nowadays anything we do with a song, a book or anything created by someone protected by copyright is a punishment.

The points he deploys from the proposition are the following:


- A punish for people who claim to be the authors of something they have never made.


- A completely free sharing of content as long as it has no commercial purpose. This was possible 20 years ago, but today it is a criminal offence.


- A compulsory registration after 5 years of the rights of a content. Because nowadays we have problems with content where it is not clear who the author is and nothing can be done because there is no one to whom permission can be ask.


- Freedom to reuse content from other content (remixes, parodies, etc).


- Impose restrictions on DRM (Digital Rights Management), which is what prevents us from making use of copies even if it is legal.


Then comes the big question, how the authors will be paid if the sharing is free.


Well, it puts it on the table through another point of view. If sharing is not possible then do they really have the right to restrict our privacy? Copyright is restricting our fundamental rights.


I quite agree with this whole proposition. Reform is a must.


Book: http://falkvinge.net/wp-content/uploads/large/The%20Case%20For%20Copyright%20Reform%20(2012)%20Engstrom-Falkvinge.pdf


Comments

Popular posts from this blog

CENSORSHIP AND PRIVACY

  Censorship and privacy are two very important concepts in our lives.  Nowadays censorship is mostly misused. Unfortunately, it has become very much linked to the politics of each country, and this leads to unfair censorship. Privacy is a feature that in theory we care a lot about, but then in practice most of society does whatever they want and they don't even care if they use their data for anything else. But sometimes there are cases where a person loses their privacy without consent, that is the problem. Let's look at two examples, one of censorship and the other of privacy. As censorship we can use one of the most current examples and one that has affected globally. The censorship of information about COVID 19. Maybe there are people who don't agree with this but in the end it has been a case of censorship and I put it as an example. Rajat Khosla, Amnesty International's Senior Director for Research, Advocacy and Policy, said: "Throughout the pandemic, govern...

Cybersecurity in Spain

  Currently, 93% of Spanish citizens use the Internet. This is why new projects are already appearing in order to increase cybersecurity as much as possible. In Spain there are two institutions created for cybersecurity under the name of INCIBE-CERT and CCN-CERT. The first one is focused on companies and citizens and the second one only for the government.  I think it is worth making a separation before analysing security in Spain: before and after the appearance of COVID.  Before the pandemic there was not so much concern about cybersecurity, which has affected us in the state of inferiority that we are currently in compared to the UK or Germany. There were a few projects going on but at the official conferences, most of the companies did not attend, they had their minds set on their own company's profit or other reasons. But what's the point of getting wealth when they can take it away from you in hours through malware. The key to Spain's focus on internet security was ...

THREE INTERESTING IT SOLUTIONS

1980s: Machine Learning Do you know that today's massive algorithms probably know you better than you know of yourself? It all started with Alan Turin saying a famous and interesting phrase in the 1950s: Can machines think? That is when they started to investigate algorithms in which machines could learn by themselves from data. Until a few years later, when an IBM researcher named Arthur Lee Samuel created the first machine learning algorithm in the game of checkers and popularised it among IT researchers. For various reasons, there were about 25 years without any optimal algorithm results and the popularity of machine learning declined considerably, until the 1980s, when the backpropagation algorithm (neural network) was developed. From then on, different algorithms were developed and improved. Until today where machine learning is one of the most used fields collecting massive amounts of data and looking for patterns among them (without privacy) to improve the experience of each...