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Generative AI - What is the cost for the information industry?


Generative AI - What is the cost for the information industry?



Generative AI has garnered significant attention recently due to its unique ability to create novel content designed to mimic humans.

ChatGPT is a form of generative AI currently gaining popularity. It is designed to generate human-like text in a chatbot context. This AI-powered chat tool is an example of how generative AI can automate content creation, in this case, by generating responses to user input in a chatbot.

It has the potential to revolutionise many industries by automating the creation of content, analysing large amounts of data and overall improving efficiency, which frees up workers' time. However, generative AI’s potential impact on the work landscape of the information industry has led to scepticism. There are concerns about job displacement and a loss of human perspective and voice.

Another drawback of generative AI is that it reflects society's biases on issues such as gender and race. It can generate fake news, such as ‘deepfakes’: images or videos created by AI that appear realistic but are false and misleading.

Currently, the EU’s approach to artificial intelligence centres on excellence and trust, aiming to boost research and industrial capacity while ensuring safety and fundamental rights.

In December 2022, the Council adopted its common position on the Artificial Intelligence Act which aims to ensure that AI systems placed on the EU market and used in the Union are safe and respect existing laws on fundamental rights and Union values.

Join this EURACTIV Hybrid Conference, part of the Horizon Europe project AI4TRUST, to discuss the benefits and risks of generative AI. Questions to be discussed include:

- Is there a place for generative AI in our society?
- What repercussions does generative AI have for the information industry? How does it impact journalism and content creation?
- What safeguards can be put in place to regulate generative AI?
- Does the European Commission’s AI Act adequately protect us from the drawbacks of generative AI?

This project has received funding from the European Union’s Horizon Europe Programme under Grant Agreement no 101070190.

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.


Supported by:



Euractiv Network Office
Boulevard Charlemagne 1, 1041 Brussels

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Opening Remarks:

Serena Bressan
Project Manager, AI4TRUST

Yordanka Ivanova
Legal and Policy Officer, Artificial Intelligence Policy Development and Coordination, DG CNECT, European Commission

Dan Nechita
Head of Cabinet, MEP Dragos Tudorache, European Parliament

Andrea G. Rodríguez
Lead Digital Policy Analyst, European Policy Centre

Matthias Spielkamp
Executive Director, Co-Founder & Shareholder, Algorithm Watch

Jeremy Rollison
Senior Director, Head of EU Policy, European Government Affairs, Microsoft

Gina Neff
Executive Director, Minderoo Centre for Technology & Democracy, University of Cambridge


Molly Killeen


09:30 – 09:35 Welcome
09:35 – 09:50 Panellist statements
09:50 – 10:55 Discussion and Q&A
10:55 – 11:00 Closing statements

Followed by a light networking breakfast


Síofra Gilmore
+32 222 65 823

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The outstanding concerns surrounding generative AI

The outstanding concerns surrounding generative AI

Ahead of Wednesday's (14 June) European Parliament AI Act vote, stakeholders came together to discuss the outstanding challenges posed by generative AI technology, from risks of disinformation and bias to competition and the need for international alignment.