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.




            AIhub is supported by:


Related posts :



Interview with Aneesh Komanduri: Causality and generative modeling

  31 Jul 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
monthly digest

AIhub monthly digest: July 2025 – RoboCup round-up, ICML in Vancouver, and leveraging feedback in human-robot interactions

  30 Jul 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

Interview with Yuki Mitsufuji: Text-to-sound generation

  29 Jul 2025
We hear from Sony AI Lead Research Scientist Yuki Mitsufuji to find out more about his latest research.

Open-source Swiss language model to be released this summer

  29 Jul 2025
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure.

Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

  25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.

#RoboCup2025: social media round-up part 2

  24 Jul 2025
Find out what participants got up to during the second half of RoboCup2025 in Salvador, Brazil.

Visualising the digital transformation of work

Does it matter that the existing images of AI and digital technologies are so unrealistic?

#ICML2025 social media round-up part 2

  22 Jul 2025
Find out what participants got up to during the second half of the conference.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence