ΑΙhub.org
 

European parliament approves draft EU AI act


by
16 June 2023



share this:
EU flag

An important milestone in the process of EU AI legislation was taken on 14 June when the European parliament voted in favour of adopting the proposed AI act (with 499 votes in favour, 28 against and 93 abstentions). The next step will involve talks with EU member states on the final form of the law. The aim is to reach an agreement by the end of this year.

At the core of the proposed act is a risk-based approach, which establishes obligations for providers and those deploying AI systems depending on the level of risk posed.

AI systems deemed to present an “unacceptable risk” would be completely prohibited. In the draft act, this includes “real-time” biometric identification systems (when deployed in publicly accessible spaces), systems that deploy harmful manipulative “subliminal techniques”, systems that exploit specific vulnerable groups, and systems used by public authorities, or on their behalf, for social scoring purposes.

Systems classified as “high risk” would be subject to new regulations including registration of these systems by the providers in an EU-wide database before releasing to the market, and the necessity to comply with a range of requirements including those relating to risk management, testing, technical robustness, data training and data governance, transparency, human oversight, and cybersecurity. Such high-risk applications will include AI systems that pose significant harm to people’s health, safety, fundamental rights or the environment.

AI systems presenting “limited risk” would be subject to a limited set of transparency obligations. All other AI systems presenting only low or minimal risk could be developed and used in the EU without conforming to any additional legal obligations.

On the subject of generative AI, systems based on such models, like ChatGPT, would have to comply with transparency requirements (disclosing that the content was AI-generated, also helping distinguish deep-fake images from real ones) and ensure safeguards against generating illegal content. Detailed summaries of the copyrighted data used for their training would also have to be made publicly available.

You can read more details about the proposed AI act in this document.



tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Towards experiment-guided AlphaFold

Researchers enhance Nobel Prize-winning structural prediction model.

AI listens in to help protect wildlife

  24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.

How can we characterize consensus in a network of agents?

  23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

  22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.

AAAI presidential panel – AI and scientific integrity

  21 Jul 2026
Watch the next panel discussion in this series from AAAI.

Congratulations to the #ICML2026 award winners

  20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

Interactive world simulator for robot policy training and evaluation

  17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

#ICML2026 social media round-up

  17 Jul 2026
We take a look at what the participants got up to in Seoul.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence