Knowledge 4 All Foundation Concludes Successful Collaboration with European AI Excellence Network ELISE

Knowledge 4 All Foundation is pleased to announce the successful completion of its participation in the European Learning and Intelligent Systems Excellence (ELISE) project, a prominent European Network of Artificial Intelligence Excellence Centres. ELISE, part of the EU Horizon 2020 ICT-48 portfolio, originated from the European Laboratory for Learning and Intelligent Systems (ELLIS) and concluded in August 2024.

The European Learning and Intelligent Systems Excellence (ELISE) project, funded under the EU's Horizon 2020 programme, aimed to position Europe at the forefront of artificial intelligence (AI) and machine learning research
The European Learning and Intelligent Systems Excellence (ELISE) project, funded under the EU’s Horizon 2020 programme, aimed to position Europe at the forefront of artificial intelligence (AI) and machine learning research

Throughout the project, Knowledge 4 All Foundation collaborated with leading AI research hubs and associated fellows to advance high-level research and disseminate knowledge across academia, industry, and society. The Foundation contributed to various initiatives, including mobility programs, research workshops, and policy development, aligning with ELISE’s mission to promote explainable and trustworthy AI outcomes.

The Foundation’s involvement in ELISE has reinforced its commitment to fostering innovation and excellence in artificial intelligence research. By engaging in this collaborative network, Knowledge 4 All Foundation has played a role in positioning Europe at the forefront of AI advancements, ensuring that AI research continues to thrive within open societies

Knowledge 4 All Foundation Completes Successful Engagements in European AI Excellence Network HumanEAI-Net

Knowledge 4 All Foundation (K4A) is pleased to announce the successful completion of its engagements in two prominent European Networks of Artificial Intelligence (AI) Excellence Centres: the HumanE AI Network. These initiatives have been instrumental in advancing human-centric AI research and fostering collaboration across Europe.

Both HumaneAI-Net and ELISE were part of the H2020 ICT-48-2020 call, fostering AI research excellence in Europe.
The HumaneAI-NetE was part of the H2020 ICT-48-2020 call, fostering AI research excellence in Europe

The HumanE AI Network, comprising leading European research centres, universities, and industrial enterprises, has focused on developing AI technologies that align with European ethical values and societal norms. K4A’s participation in this network has contributed to shaping AI research directions, methods, and results, ensuring that AI advancements are beneficial to individuals and society as a whole.

K4A remains committed to advancing AI research and development, building upon the foundations established through these collaborations. The foundation looks forward to future opportunities to contribute to the global AI community and to promote the responsible and ethical development of AI technologies.

Knowledge 4 All Foundation Completes NLP Projects with Lacuna Fund, Transitions Efforts to Deep Learning Indaba Charity

Knowledge 4 All Completes NLP Projects, Passing the Torch to Deep Learning Indaba
Completed NLP Projects, Passing the Torch to Deep Learning Indaba

The Knowledge 4 All Foundation is pleased to announce the successful completion of its Natural Language Processing (NLP) projects under the Lacuna Fund initiative. These projects aimed to develop open and accessible datasets for machine learning applications, focusing on low-resource languages and cultures in Africa and Latin America.

The portfolio includes impactful initiatives such as NaijaVoice, which focuses on creating datasets for Nigerian languages, Masakhane Natural Language Understanding, which advances NLU capabilities for African languages, and Masakhane Domain Adaptation in Machine Translation, targeting improved domain-specific machine translation systems. The Foundation’s efforts have significantly contributed to assisting African researchers and research institutions in creating inclusive datasets that address critical needs in these regions.

As part of a strategic transition, the Foundation has entrusted the continuation and expansion of these initiatives to the Deep Learning Indaba charity. The Deep Learning Indaba, dedicated to strengthening machine learning and artificial intelligence across Africa, is well-positioned to build upon the groundwork laid by Knowledge 4 All. The Foundation extends its gratitude to the Deep Learning Indaba charity for taking over these projects and is confident that their expertise will further the mission of fostering inclusive and representative AI development in the future.

HumaneAI-Net results and project legacy

The HumaneAI-Net project has significantly advanced human-centered artificial intelligence by developing innovative resources and fostering collaboration across Europe. Key achievements include the creation of the Humane AI Database, a comprehensive repository summarizing essential project outputs, and the establishment of the Hybrid Human Artificial Intelligence (HHAI) conference, which serves as a platform for interdisciplinary AI research. Additionally, the project has produced diverse datasets, such as the SOMTUME dataset, containing textual information from social media and news sites, and the DIASER corpus, comprising over 37,000 annotated dialogues. These contributions have been instrumental in promoting ethical AI practices and enhancing human-AI collaboration.

For a comprehensive overview of the project’s legacy and access to these resources, check the following list:

Core Data

Core Legacy Items

  • HHAI conference (Hybrid Human Artificial Intelligence): https://hhai-conference.org/
  • ADR Topic Group – Generative AI for Human-AI Collaboration: coming soon
  • Springer handbook on Human-AI Collaboration: coming soon (email haimgmt@dfki.de if you are interested to collaborate 🙂 )

Social Media

Datasets

IDMicroproject producing the dataset (linked to HAI Net page)DescriptionLink short text
DS-001TMP-003Available on githublink
DS-002TMP-007Reviewed Papers and Coding Spreadsheet:link
DS-003TMP-016(Dataset 1) Example Jupyter Notebooks – Uwe Köckemann, Fabrizio Detassis, Michele Lombardilink
DS-004TMP-016(Dataset 2) Example Jupyter Notebooks – Uwe Köckemann, Fabrizio Detassis, Michele Lombardilink
DS-005TMP-016(Dataset 3) Example Jupyter Notebooks – Uwe Köckemann, Fabrizio Detassis, Michele Lombardilink
DS-006TMP-022Dataset: Pilot dataset – Kunal Gupta & Mark Billinghurstlink
DS-007TMP-022Dataset: eye tracking data during encoding phaselink
DS-008TMP-023The SOMTUME dataset contains textual information gathered from social media and news sites, segment: Trustworthiness Information Content (TIC). The texts pertain to the migration of Ukrainians to the European Union from February 2022, to August 2023link
DS-009TMP-023The SOMTUME dataset contains textual information gathered from social media and news sites, segment: Trustworthiness Uncertain Information Content (UIC). The texts pertain to the migration of Ukrainians to the European Union from February 2022, to August 2023link
DS-010TMP-036Dataset: DIASER corpus – Ondrej Dusek: A corpus of 37,173 annotated dialogues with unified and enhanced annotations built from existing open dialogue resourceslink
DS-011TMP-037Loan Approval1: dataselink
DS-012TMP-037Loan Approval2: datasetlink
DS-013TMP-039Dataset: PEEK Dataset – Sahan Bulathwelalink
DS-014TMP-059A unified multi-domain dialogue dataset is introduced and released along with the paper “Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction” (Burdisso et al. – EMNLP 2024 main conference).link
DS-015TMP-060A list of relevant datasetslink
DS-016TMP-060Survey showing Point Processes resourceslink
DS-017TMP-062Github repository of datasets and softwarelink
DS-018TMP-068PET: a new annotated dataset of human-annotated processes in a corpus of process descriptionslink
DS-019TMP-081evaluation and development data sets for speech translation for meetings (for English->Latvian, Latvian->English, and Lithuanian- >English)link
DS-020TMP-081ELITIR minuting cortpus: an automatic minuting test set for the AutoMin 2023 shared task on automatic creation of meeting summaries (“minutes”) for English and Czechlink
DS-021TMP-084SynSemClass 3.5 datasetlink
DS-022TMP-086A survey of tools and datasets for a multimodal perception with transformerslink
DS-023TMP-091Datalink
DS-024TMP-094Generator for preference data – Bruno Veloso, Luciano Caroprese, Matthias Konig, Sonia Teixeira, Giuseppe Manco, Holger H. Hoos, and Joao Gamalink
DS-025TMP-096Dataset without topicslink
DS-026TMP-096Dataset with topicslink
DS-027TMP-099Individual subject trajectories – Annalisa Boscolink
DS-028TMP-102A GitHub repository with detailed analysis of literature Detailed analysis of containing 36 existing datasets and papers according to our desiderata and checklistlink
DS-029TMP-103Data can be found herelink
DS-030TMP-107HCN dataset: news articles in the domain of Health and Climate Change. The dataset contains news articles, annotated with the major claim, claimer(s) and claim object(s).link
DS-031TMP-117Dataset of EEG recordings corresponding to easy and difficult decisionslink
DS-032TMP-1183 etxnsions of the HeLiS ontology – Mauro Dragonilink
DS-033TMP-124dataset showing the evaluated VAAs and the frameworks used to evaluate themlink
DS-034TMP-130we have a cleared and cured dataset for 70 years of Senate activities from year 1333link

Software and Tools

IDMicroproject producing the dataset (linked to HAI Net page)DescriptionLink short text
TL-001TMP-001labelling tool repositorylink
TL-002TMP-003This repository contains the implementation of the model presented in the paper “Modelling Concept Drift in Dynamic Data Streams for Recommender Systems”.link
TL-003TMP-004C# code to run for the geometry friends human-ai collaboration study.link
TL-004TMP-005The code of the ABM can be found in this repositorylink
TL-005TMP-008Program/code: Crowdnalysis Python packagelink
TL-006TMP-009Interpretable Fair Abstaining Classifierlink
TL-007TMP-010chatbot codelink
TL-008TMP-012Open source tool for training ASR models for dysarthic speech: The repository contains: A baseline recipe to train a TDNN-CNN hybrid model based ASR system, this recipe is prepared to be trained on the TORGO dataset. And an end-to-end model using ESPnet framework prepared to be trained on UASpeech dataset.link
TL-009TMP-016Program/code: Python library: Moving targets via AIDDLlink
TL-010TMP-018Mass Media Impact on Opinion Evolution in Biased Digital Environments: a Bounded Confidence Modellink
TL-011TMP-025Methods and Tools for Causal Discovery and Causal Inferencelink
TL-012TMP-031Meta-control decision-making experimentlink
TL-013TMP-037Discovery Framework (program/code)link
TL-014TMP-0372Experimentslink
TL-015TMP-039Program/code: TrueLearn Modellink
TL-016TMP-039Program/code: Semantic Networks for Narrativeslink
TL-017TMP-044EvalSubtitle: tool for reference-based evaluation of subtitle segmentationlink
TL-018TMP-051Backend codelink
TL-019TMP-053patent under review for FPGA based prototypelink
TL-020TMP-055The base gamelink
TL-021TMP-055The extended gamelink
TL-022TMP-057python package providing grey box NLP model to assist qualitative analystslink
TL-023TMP-058Package page at Python Package Indexlink
TL-024TMP-059Source code comes with tool-like scripts to convert any collection of dialogs to a dialog flow automatically.link
TL-025TMP-059The code repository for long-context ASR is publiclink
TL-026TMP-065A software library to help analyze crowdsourcing results (2024)link
TL-027TMP-071Web-Services librarylink
TL-028TMP-082Prototype implementationlink
TL-029TMP-083T-KEIRlink
TL-030TMP-083erc-unibo-modulelink
TL-031TMP-084SynSemClass 3.5 browserlink
TL-032TMP-089A bundle to replicate a simulation with SUMO over Milano with 15k vehicles and 40% routed oneslink
TL-033TMP-090datasetlink
TL-034TMP-091Implementation in Pytorch of the Iterative Local Refinement (ILR) algorithmlink
TL-035TMP-094Self Hyper-parameter tunninglink
TL-036TMP-095Contributed to a computational theory called POSG, a multi-agent framework for human-AI interactionlink
TL-037TMP-096repo with the code used to build and study the datasetslink
TL-038TMP-097Github link of the code of the simulator for the new dynamic modellink
TL-039TMP-099Program/code: Recurrent neural network codeslink
TL-040TMP-101Program/code: Proactive Behavior Generation – Open Source System –link
TL-041TMP-101Program/code: Playground, Jupyter Notebook / Google Colablink
TL-042TMP-104CKR Datalog Rewriterlink
TL-043TMP-107Website demolink
TL-044TMP-107Services for claim identification and the retrieval enginelink
TL-045TMP-107Service for the text simplificationlink
TL-046TMP-108-TMP-034SAI Simulator for Social AI Gossipinglink
TL-047TMP-109Pest control game demolink
TL-048TMP-109The Pest Control Game experimental platformlink
TL-049TMP-113Prototype of a dialogue system that deliberates on top of the social context, in which the dialogue scenarios are easy to author.link
TL-050TMP-114prototypelink
TL-051TMP-120Diurnal Patterns in the Spread of COVID-19 Misinformation on Twitter within Italylink
TL-052TMP-124Trustworthiness of Voting Advice Applications in Europelink
TL-053TMP-126Code for audio data collectionlink
TL-054TMP-126Code for end-to-end response generationlink
TL-055TMP-130VLD Series Viewerlink
TL-056TMP-133X5Learn Platformlink
TL-057TMP-133TrueLearn Codebaselink
TL-058TMP-133TrueLearn Python librarylink

Tutorials and Reports

IDMicroproject producing the dataset (linked to HAI Net page)DescriptionLink
TR-001TMP-016Tutorial: Moving targets tutoriallink
TR-002TMP-038EduCourse: Open lectures and hands-on practicalslink
TR-003TMP-042Seminar: Research seminar: Ethics and AI for PhD students, postdoctoral scholars, and research fellows in University of Kaiserslautern-Landau (Winter 2023-2024)Reach out to project contact person for access
TR-004TMP-058Tutorial: “tutorial page documenting how to use the packagelink
TR-005TMP-059Tutorial: a jupyter notebook tutorial for joint speech-text embeddings for spoken language understanding.link
TR-006TMP-059Tutorial: part 1 (on dialogue modelling)link
TR-007TMP-059Tutorial: part 2 (on LLMs)link
TR-008TMP-082Report: ArXiv Technical Report on formalizationlink
TR-009TMP-086Tutorial: A tutorial on the use of transformers for multimodal perception.link
TR-010TMP-086Report: Report on challenges for the use of transformers for multimodal perception and interaction.link
TR-011TMP-096Report: report summarizing the detailed resultslink
TR-012TMP-103A pre-registration for the demographic studylink
TR-013TMP-104Report: echnical reportlink
TR-014TMP-121Seminar: the Mossos d’Esquadra, the police authority in Barcelona.Reach out to project contact person for access
TR-015TMP-121Seminar: the police education unit at Umeå Sweden.Reach out to project contact person for access
TR-016TMP-123Report: Report of applicable mechanisms and formats for AI-innovation Report of the initial workshoplink
TR-017TMP-123Report: White Paper – Methods for AI implementationlink
TR-018TMP-126Report: Report for end-to-end response generationlink
TR-019TMP-131EduCourse: slideslink

Conference of the UK UNITWIN/UNESCO Chairs Programme

On 30-31 May 2023, UK National Commission for UNESCO hosted the Conference UK UNESCO Chairs Conference to mark the yearly anniversary of the UNITWIN/UNESCO Chairs Programme. This event, supported by the National Commission for UNESCO, brought together over 20 participants representing some 22 UNESCO Chairs and UNITWIN in the UK. This global network encourages inter-university cooperation, collaboration and information sharing. Today, the Programme involves over 700 institutions in 126 countries.

The two days of knowledge sharing inspired new ideas, partnerships, and opportunities that highlighted the value of intellectual collaboration across the network and beyond. The value of transdisciplinarity, future-oriented approaches and the need for increased North-South-South and South-South cooperation were emphasized throughout the event.

Presenting the new science of Artificial Intelligence that can put Europe on the world stage in the European Parliament

K4A is very happy to have helped co-organize an awesome half-day event at the European Parliament, titled “Beyond ChatGPT: How can Europe get in front of the pack on Generative AI Models?“, with Humane AI Net, IRCAI – International Research Center on Artificial Intelligence under the auspices of UNESCO, CLAIRE – Confederation of Laboratories for Artificial Intelligence Research in Europe, TAILOR, AI4Media, and VISION.
A big thank you to Paul Lukowicz, Cees Snoek, Fredrik Heintz, Ioannis Kompatsiaris, Virginia Dignum, Ieva Martinkenaite, Francesca Rossi, Holger Hoos, Marko Grobelnik, Catelijne Muller, Clara Neppel, Dino Pedreschi, and Cécile Huet.

Contributing to Lillehammer’s (Norway) Lifelong Learning ICDE Conference with the workshop: “Your place in the Open Ecosystem”

KA, as a partner institution of the ENCORE + Network, approached how Open Technologies can support initiatives, projects, and business’ uptake of Open Educational Resources (OERs) in the Lifelong Learning Conference 2023 (15th-17th February) in Lillehammer (Norway), which gathered 350 participants from 32 countries.

The workshop was intended to provide participants an opportunity to imagine and recreate their work and business as Open, reflecting on OERs applicability and benefit to business, innovation, and technology in lifelong learning. There was exchange, debate, and genuine interest on the possibilities openness offer to different stakeholders.

Some of the ongoing K4A’s research for the ENCORE+ Network was also presented as relevant background for engaging participants with the activities proposed. An overview of how businesses envisioned the use and potential strategies by the use of approach was provided, in terms of services provided to learners, and technologies supporting these processes. Additionally, some of the latest AI-based solutions for OER repositories were showcased as efficient tools catering for lifelong learners’ needs.

K4A workshop at the third International Lillehammer Lifelong Learning ICDE Conference 15-17 February 2023

Funding available for human-centered AI projects

K4A is a partner in the HumanE AI network of excellence which has been running a program of micro-projects and there is a potential to link this with the Network for AI and Knowledge for Sustainable Development (NAiXUS) established jointly by the International Research Centre on AI under the Auspices of UNESCO, the DataPop Alliance, Knowledge 4 All Foundation, ELLIS Alicante UNIT and Regional Center for Studies on the Development of the Information Society (Cetic.br). The Humane AI has funds reserved to finance the involvement of external partners and this call is concerned with micro-projects that would like to leverage these funds to include NAiXUS partners. Check here for the opportunity.

Human AI net Micro-Projects Collaboration Network

The periodic technical report for the HumaneAI Network successfully submitted to EU reviewers

After the HumaneAI project setup phase, initiating the internal and external collaboration mechanisms the first 18 months were focused on engaging with the research questions posed in the proposal within WPs 1-5 and conducting a series of concrete high-impact activities to connect to the community. Nearly 70 micro projects spanning the large majority of the project partners have been initiated resulting in 82 project publications, incl. Nature, PNAS, Phys.Rev, Artificial Intelligence etc papers.

A major result of this work has been the updated research agenda which includes a novel conceptual framework for human-AI collaboration, a notion of shared representations centered around of narratives and the expansion of the definition of AI trustworthiness and explainability in terms of human-computer interaction (systems that humans (both individually and as a society) feel they understand and are comfortable trusting rather than systems that “only” fulfill certain hard technical specification).

Lacuna Fund 2022 grantees convening in Tunis

As of August 2021, Lacuna Fund has selected 29 projects for funding in the Agriculture, Natural Language Processing, and Equity & Health domains. Project teams from the first rounds of funding in Agriculture and Natural Language Processing have either completed or are nearly finished with their datasets. Those project teams were invited to attend the 2022 Lacuna Fund Grantee Convening.

K4A was granted two projects funded by the first rounds of Lacuna funding, Jade Abbott leading the “Masakhane MT: Decolonizing Scientific Writing for Africa” and Peter Nabende’s project “Named Entity Recognition and Parts of Speech datasets for African languages“. Both project results are available now, with links to the datasets listed on the Lacuna Fund website.

We were extremely happy to meet representatives from many of the project teams in person!