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:



Subscribe to AIhub newsletter on substack



Related posts :

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

  03 Mar 2026
Will AI hollow out the pipeline of students, researchers and faculty that is the basis of today’s universities?

Forthcoming machine learning and AI seminars: March 2026 edition

  02 Mar 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 March and 30 April 2026.
monthly digest

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

  27 Feb 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

  26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence