ΑΙhub.org
 

European Union liability rules for artificial intelligence


by
06 October 2022



share this:
EU flag

Last week, the European Commission released a proposal for an Artificial Intelligence Liability Directive (AILD). It forms the next step in the development of a legal framework for AI.

In its white paper, published in 2020, the Commission undertook to promote the uptake of artificial intelligence and to assess the risks. Later, in 2021, the Commission proposed a legal framework which aimed to “address the risks generated by specific uses of AI through a set of rules focusing on the respect of fundamental rights and safety.”

One of the objectives of the 2020 white paper was to formulate a proposal for an AI liability directive. The purpose of this proposal is to “to contribute to the proper functioning of the internal market by harmonising certain national non-contractual fault-based liability rules, so as to ensure that persons claiming compensation for damage caused to them by an AI system enjoy a level of protection equivalent to that enjoyed by persons claiming compensation for damage caused without the involvement of an AI system.”

You can read the proposed directive in full here.

Find out more




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




            AIhub is supported by:



Related posts :



The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

  05 Sep 2025
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

How the internet and its bots are sabotaging scientific research

  03 Sep 2025
What most people have failed to fully realise is that internet research has brought along risks of data corruption or impersonation.

#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

  02 Sep 2025
Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Forthcoming machine learning and AI seminars: September 2025 edition

  01 Sep 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 September and 31 October 2025.
monthly digest

AIhub monthly digest: August 2025 – causality and generative modelling, responsible multimodal AI, and IJCAI in Montréal and Guangzhou

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

Interview with Benyamin Tabarsi: Computing education and generative AI

  28 Aug 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence