The AI, engine and constructor of fakenews:

The European (and international) society is currently subject to a large amount of information that has to be filtered. Natural languages such as GPT2, IBM Watson and neural networks such as those developed by MIT are opening many new options. Being able to supplant information, people and with an important damage to society.

The EU is working on this line, should the AI have a specific section?

Main source: The legal framework to address “fake news”: possible policy actions at the EU level

• Source1: Can science writing be automated? [A neural network can read scientific papers and render a plain-English summary. David L. Chandler | MIT News Office April 17, 2019]
• Source2: Watson Natural Language Understanding Natural language processing for  advanced text analysis.
• Source3: Natural Language Understanding Demo
• Source4: Giant Language model Test Room. MIT-IBM Watson AI lab and Harvard NLP.
• Source5: A public page of a citizen. People are aware of the problem and are proving the initiatives: I have created a website to query the GPT-2 OpenAI model.
• Source6: Better Language Models and Their Implications. "Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model".
• Source7: "GPT-2-117M.