European Commission, DG CNECT - Communications Networks, Content and Technology

Procurement of a microsatellite pilot mission, to be deployed to validate QKD technology in space and prepare for future quantum networks. It is part of IRIS² (the Union Secure Connectivity Programme, regulation (EU) 2023/588) regulation.

Procurement of a microsatellite pilot mission, to be deployed to validate QKD technology in space and prepare for future quantum networks. It is part of IRIS² (the Union Secure Connectivity Programme, regulation (EU) 2023/588) regulation.

The purpose of this procurement is to design, develop, and deploy two multilingual, AI-powered chatbot tools to support the implementation of the Artificial Intelligence Act (AI Act) and the Digital Services Act (DSA). These chatbots will provide context-sensitive, public-facing guidance tailored to a wide range of stakeholders, helping users navigate legal obligations, definitions, and procedures under the respective regulations. The tools will be integrated into Commission platforms and built using reusable components in line with existing IT governance frameworks.

The purpose of this procurement is to design, develop, and deploy two multilingual, AI-powered chatbot tools to support the implementation of the Artificial Intelligence Act (AI Act) and the Digital Services Act (DSA). These chatbots will provide context-sensitive, public-facing guidance tailored to a wide range of stakeholders, helping users navigate legal obligations, definitions, and procedures under the respective regulations. The tools will be integrated into Commission platforms and built using reusable components in line with existing IT governance frameworks.

The European Commission is committed to tapping into the potential of Artificial Intelligence (AI) to collaboratively and complementarily drive research to address global challenges. DG CONNECT is the European Commission’s Directorate General responsible for digital policies. Through its Directorate A “Artificial Intelligence Office”, it is tasked to implement the AI Act and promote the development and use of trustworthy AI. Additionally, it focuses on creating solutions for societal good, while also facilitating the implementation of international AI agreements to contribute to a global approach to AI. The purpose of this call for tenders is to develop and test AI-powered solutions for the benefit of the EU as well as wider communities and third countries. The call has two lots, on AI for Cancer imaging (LOT1) and on AI for Electric grid optimisation (LOT2). LOT 1 will explore and demonstrate how AI-powered solutions applied to EU cancer imaging data can be further fine-tuned and applied in other locations and settings covering a large variety of populations, without transferring the underlying sensitive health data. It has two predefined use-cases, breast cancer and prostate cancer. LOT2 will support the European Commission in exploring and demonstrating the application of AI- powered solutions to effectively tackle challenges within energy systems, specifically focusing on the seamless integration of renewable energy sources (RES) capacity across diverse energy system levels.

The European Commission is committed to tapping into the potential of Artificial Intelligence (AI) to collaboratively and complementarily drive research to address global challenges. DG CONNECT is the European Commission’s Directorate General responsible for digital policies. Through its Directorate A “Artificial Intelligence Office”, it is tasked to implement the AI Act and promote the development and use of trustworthy AI. Additionally, it focuses on creating solutions for societal good, while also facilitating the implementation of international AI agreements to contribute to a global approach to AI. The purpose of this call for tenders is to develop and test AI-powered solutions for the benefit of the EU as well as wider communities and third countries. The call has two lots, on AI for Cancer imaging (LOT1) and on AI for Electric grid optimisation (LOT2). LOT 1 will explore and demonstrate how AI-powered solutions applied to EU cancer imaging data can be further fine-tuned and applied in other locations and settings covering a large variety of populations, without transferring the underlying sensitive health data. It has two predefined use-cases, breast cancer and prostate cancer. LOT2 will support the European Commission in exploring and demonstrating the application of AI- powered solutions to effectively tackle challenges within energy systems, specifically focusing on the seamless integration of renewable energy sources (RES) capacity across diverse energy system levels.

Disinformation poses serious threats to the Europe democratic society. To tackle this phenomenon, the EU continues to support the work of European Digital Media Observatory - a multidisciplinary community composed of fact-checkers, media literacy practitioners, researchers and other relevant stakeholders.

Multiple framework services contracts in cascade for the organisation of events and promotional actions, including stands at major audiovisual and gaming markets.

Pursuant to article 27 DSA, providers of online platforms must clearly explain in their terms and conditions the main parameters used in their recommender systems, using plain and intelligible language. Moreover, they must explain options for users to modify or influence these main parameters. The main parameters that must be explained include (a) the most significant criteria used to determine suggested information, and (b) the reasons for the relative importance of these parameters. For platforms offering multiple options for recommender systems, they must provide a functionality allowing users to select and modify their preferred option at any time. Such a functionality should be directly and easily accessible from the section of the platform’s interface where the information is prioritized. In addition to the obligations established by article 27, providers of VLOPs and VLOSEs have an additional requirement: they must provide at least one recommender system option that is not based on profiling as defined in Regulation (EU) 2016/679 (“General Data Protection Regulation” or “GDPR”). These transparency requirements aim to give users more control and understanding of how information is presented to them on online platforms, particularly in relation to personalized recommendations. Against this background, this contract will explore how users engage with recommender systems across Very Large Online Platforms (VLOPs) and Very Large Online Search Engine (VLOSEs) through user surveys and user observations. DG CONNECT, together with the European Centre for Algorithmic Transparency at the Joint Research Centre (ECAT – JRC), is developing new methods to analyze recommender systems. These methods are developed across a wide range of representative recommendation surfaces across VLOPs and VLOSEs (both in terms of user experience – social media feeds, products listing, etc. - and types of contents – video, text, images, products, etc.). Therefore, the need arises to ground the understanding of such systems with real world data from observations of user interactions with recommender systems, confronting state of the art of the scientific literature with the reality of a representative panel of VLOPs and VLOSEs’ user base (in terms of relevant demographic variables such as age, gender, computer literacy, etc.).