ΑΙhub.org
 

European Commission releases white paper on artificial intelligence


by
21 February 2020



share this:

On Wednesday 19th February the European Commission released a white paper entitled: On Artificial Intelligence – A European approach to excellence and trust. This document forms part of the EU’s digital strategy, which aims to make the AI and data transformation work for people and businesses, while helping to achieve its target of a climate-neutral Europe by 2050.

With their strategies for AI and data, the EU aim to encourage businesses to work with, and develop, new technologies, while at the same time making sure that they earn citizens’ trust. Here is the opening to the white paper:

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

Against a background of fierce global competition, a solid European approach is needed, building on the European strategy for AI presented in April 2018. To address the opportunities and challenges of AI, the EU must act as one and define its own way, based on European values, to promote the development and deployment of AI.

The Commission is committed to enabling scientific breakthrough, to preserving the EU’s technological leadership and to ensuring that new technologies are at the service of all Europeans – improving their lives while respecting their rights…

…the Commission supports a regulatory and investment oriented approach with the twin objective of promoting the uptake of AI and of addressing the risks associated with certain uses of this new technology. The purpose of this White Paper is to set out policy options on how to achieve these objectives.

The white paper does not contain specific details about how AI technologies will be regulated, rather signals the start of a process that could lead to new legislation. The Commission needs more time to examine the multitude of complex issues relating to regulation and plans to advance carefully.

You can read the full document here. The European Commission have opened a public consultation on the matter and this will run until until 19 May 2020.

Watch European Commission President Ursula von der Leyen unveil the strategy:

Further documentation, including factsheets and communications can be found on the European Commission webpage.




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




            AIhub is supported by:


Related posts :



monthly digest

AIhub monthly digest: January 2025 – artists’ perspectives on GenAI, biomedical knowledge graphs, and ML for studying greenhouse gas emissions

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

Public competition for better images of AI – winners announced!

  28 Jan 2025
See the winning images from the Better Images of AI and Cambridge Diversity Fund competition.

Translating fiction: how AI could assist humans in expanding access to global literature and culture

  27 Jan 2025
Dutch publishing house Veen Bosch & Keuning (VBK) has confirmed plans to experiment using AI to translate fiction.

Interview with Yuki Mitsufuji: Improving AI image generation

  23 Jan 2025
Find out about two pieces of research tackling different aspects of image generation.

The Good Robot podcast: Using feminist chatbots to fight trolls with Sarah Ciston

  22 Jan 2025
Eleanor and Kerry chat to Sarah Ciston about the difficult labor of content moderation, chatbots to combat trolls, and more.

An open-source training framework to advance multimodal AI

  22 Jan 2025
EPFL researchers have developed 4M, a next-generation, framework for training versatile and scalable multimodal foundation models.

Optimizing LLM test-time compute involves solving a meta-RL problem

  20 Jan 2025
By altering the LLM training objective, we can reuse existing data along with more test-time compute to train models to do better.

Generating a biomedical knowledge graph question answering dataset

  17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association