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 :



The Turing Lectures: Can we trust AI? – with Abeba Birhane

Abeba covers biases in data, the downstream impact on AI systems and our daily lives, how researchers are tackling the problem, and more.
21 November 2024, by

Dynamic faceted search: from haystack to highlight

The authors develop and compare three distinct methods for dynamic facet generation (DFG).
20 November 2024, by , and

Identification of hazardous areas for priority landmine clearance: AI for humanitarian mine action

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool to identify hazardous clusters of landmines.
19 November 2024, by

On the Road to Gundag(AI): Ensuring rural communities benefit from the AI revolution

We need to help regional small businesses benefit from AI while avoiding the harmful aspects.
18 November 2024, by

Making it easier to verify an AI model’s responses

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
15 November 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association