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THISAM Talks: "What does ‘Artificial Intelligence’ mean for journalism?"

Mattia Peretti, Journalism AI Manager at Polis, Department of Media and Communications, London School of Economics and Political Science talked about "Artificial Intelligence" on the 5th THISAM.

Key points by Ioanna Georgia Eskiadi 

Artificial Intelligence (AI) and Journalism are two narrow-connected terms that can shape the present and the future of journalism. Journalism AI is a global initiative that aims to inform media organizations about the potential offered by AI-powered technologies. AI is the present, journalists are using it every day in their work and has brought a lot of changes in their work. The AI-based applications usually refer to news gathering for example on how writers use AI to social media for their stories or how they receive notifications when there is a story in Twitter.

Another example is how the collaboration for international investigations has swift to throw a big document. AI-based applications also refer to news production like the machine learning articles produced automatically and fact-checking in order to find the disinformation and journalists understand what should be fact-checked. At least there are used for news distribution that helps journalists to reach their audience through personalized news that are more relevant for them.
Machine learning is a subset of AI and deep learning is a part of it. The experts suggest of two main factors, one is the availability of data and at the same time the speed of computing power. Artificial intelligence refers the narrow one and the general one. The artificial narrow intelligence refers to machines ability to perform single task extremely well, even better than humans and the artificial general intelligence to the machines that can be made to think and function as human mind. AI is a collection of ideas, technologies and techniques that relates to a computer system’s capacity to perform tasks normally requiring human intelligence.



As it regards the future, there is more about it when you feel this way, AI might help. Machine learning will help on reading all the needed documents that they are received and use the algorithms to find a solution quicker. You can search through the texts and find the uniqueness of one or the other and analyse the number of images on the internet. Also, journalists can find a formula to analyse the content since every story is based on data. AI just happened to be the most effective way to find a solution to their problem. In Journalism AI, we learnt that there are changes to structures and culture and there is a need for education and training and potential for collaboration. 

About THISAM
The 5th Thessaloniki International Summer Academy on Media is organized by School of Journalism and Mass Communications of Aristotle University Thessaloniki (AUTh), Jean Monet of European Union Public Diplomacy along with other partners  under the title: “New trends in Media and Journalism: Turning crisis into opportunity”.

 Special emphasis is  given on the topics:
1. Disinformation, Science Journalism / News Literacy
2. Crisis Communication
3. New business models in Media Organisations