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HumaneAI-Net Posts

November 21, 2024

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.

May 15, 2024

HumaneAI-Net

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

Humane AI Website: https://www.humane-ai.eu/
Humane AI Database: a living document spreadsheet summarizing key project outputs (view sheet)
AI on Demand: coming soon

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

Linkedin (@humaneainet): https://www.linkedin.com/company/90859893/
Facebook (@humaneainet): https://www.facebook.com/profile.php?id=100089945357753
Twitter (@humaneainet): https://twitter.com/humaneainet
YouTube (@humaneainet): https://www.youtube.com/channel/UCyT8rfuCFHLK3ha1-GdE9Zg

Datasets

ID	Microproject producing the dataset (linked to HAI Net page)	Description	Link short text
DS-001	TMP-003	Available on github	link
DS-002	TMP-007	Reviewed Papers and Coding Spreadsheet:	link
DS-003	TMP-016	(Dataset 1) Example Jupyter Notebooks – Uwe Köckemann, Fabrizio Detassis, Michele Lombardi	link
DS-004	TMP-016	(Dataset 2) Example Jupyter Notebooks – Uwe Köckemann, Fabrizio Detassis, Michele Lombardi	link
DS-005	TMP-016	(Dataset 3) Example Jupyter Notebooks – Uwe Köckemann, Fabrizio Detassis, Michele Lombardi	link
DS-006	TMP-022	Dataset: Pilot dataset – Kunal Gupta & Mark Billinghurst	link
DS-007	TMP-022	Dataset: eye tracking data during encoding phase	link
DS-008	TMP-023	The 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 2023	link
DS-009	TMP-023	The 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 2023	link
DS-010	TMP-036	Dataset: DIASER corpus – Ondrej Dusek: A corpus of 37,173 annotated dialogues with unified and enhanced annotations built from existing open dialogue resources	link
DS-011	TMP-037	Loan Approval1: datase	link
DS-012	TMP-037	Loan Approval2: dataset	link
DS-013	TMP-039	Dataset: PEEK Dataset – Sahan Bulathwela	link
DS-014	TMP-059	A 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-015	TMP-060	A list of relevant datasets	link
DS-016	TMP-060	Survey showing Point Processes resources	link
DS-017	TMP-062	Github repository of datasets and software	link
DS-018	TMP-068	PET: a new annotated dataset of human-annotated processes in a corpus of process descriptions	link
DS-019	TMP-081	evaluation and development data sets for speech translation for meetings (for English->Latvian, Latvian->English, and Lithuanian- >English)	link
DS-020	TMP-081	ELITIR minuting cortpus: an automatic minuting test set for the AutoMin 2023 shared task on automatic creation of meeting summaries (“minutes”) for English and Czech	link
DS-021	TMP-084	SynSemClass 3.5 dataset	link
DS-022	TMP-086	A survey of tools and datasets for a multimodal perception with transformers	link
DS-023	TMP-091	Data	link
DS-024	TMP-094	Generator for preference data – Bruno Veloso, Luciano Caroprese, Matthias Konig, Sonia Teixeira, Giuseppe Manco, Holger H. Hoos, and Joao Gama	link
DS-025	TMP-096	Dataset without topics	link
DS-026	TMP-096	Dataset with topics	link
DS-027	TMP-099	Individual subject trajectories – Annalisa Bosco	link
DS-028	TMP-102	A GitHub repository with detailed analysis of literature Detailed analysis of containing 36 existing datasets and papers according to our desiderata and checklist	link
DS-029	TMP-103	Data can be found here	link
DS-030	TMP-107	HCN 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-031	TMP-117	Dataset of EEG recordings corresponding to easy and difficult decisions	link
DS-032	TMP-118	3 etxnsions of the HeLiS ontology – Mauro Dragoni	link
DS-033	TMP-124	dataset showing the evaluated VAAs and the frameworks used to evaluate them	link
DS-034	TMP-130	we have a cleared and cured dataset for 70 years of Senate activities from year 1333	link

Software and Tools

ID	Microproject producing the dataset (linked to HAI Net page)	Description	Link short text
TL-001	TMP-001	labelling tool repository	link
TL-002	TMP-003	This repository contains the implementation of the model presented in the paper “Modelling Concept Drift in Dynamic Data Streams for Recommender Systems”.	link
TL-003	TMP-004	C# code to run for the geometry friends human-ai collaboration study.	link
TL-004	TMP-005	The code of the ABM can be found in this repository	link
TL-005	TMP-008	Program/code: Crowdnalysis Python package	link
TL-006	TMP-009	Interpretable Fair Abstaining Classifier	link
TL-007	TMP-010	chatbot code	link
TL-008	TMP-012	Open 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-009	TMP-016	Program/code: Python library: Moving targets via AIDDL	link
TL-010	TMP-018	Mass Media Impact on Opinion Evolution in Biased Digital Environments: a Bounded Confidence Model	link
TL-011	TMP-025	Methods and Tools for Causal Discovery and Causal Inference	link
TL-012	TMP-031	Meta-control decision-making experiment	link
TL-013	TMP-037	Discovery Framework (program/code)	link
TL-014	TMP-037	2Experiments	link
TL-015	TMP-039	Program/code: TrueLearn Model	link
TL-016	TMP-039	Program/code: Semantic Networks for Narratives	link
TL-017	TMP-044	EvalSubtitle: tool for reference-based evaluation of subtitle segmentation	link
TL-018	TMP-051	Backend code	link
TL-019	TMP-053	patent under review for FPGA based prototype	link
TL-020	TMP-055	The base game	link
TL-021	TMP-055	The extended game	link
TL-022	TMP-057	python package providing grey box NLP model to assist qualitative analysts	link
TL-023	TMP-058	Package page at Python Package Index	link
TL-024	TMP-059	Source code comes with tool-like scripts to convert any collection of dialogs to a dialog flow automatically.	link
TL-025	TMP-059	The code repository for long-context ASR is public	link
TL-026	TMP-065	A software library to help analyze crowdsourcing results (2024)	link
TL-027	TMP-071	Web-Services library	link
TL-028	TMP-082	Prototype implementation	link
TL-029	TMP-083	T-KEIR	link
TL-030	TMP-083	erc-unibo-module	link
TL-031	TMP-084	SynSemClass 3.5 browser	link
TL-032	TMP-089	A bundle to replicate a simulation with SUMO over Milano with 15k vehicles and 40% routed ones	link
TL-033	TMP-090	dataset	link
TL-034	TMP-091	Implementation in Pytorch of the Iterative Local Refinement (ILR) algorithm	link
TL-035	TMP-094	Self Hyper-parameter tunning	link
TL-036	TMP-095	Contributed to a computational theory called POSG, a multi-agent framework for human-AI interaction	link
TL-037	TMP-096	repo with the code used to build and study the datasets	link
TL-038	TMP-097	Github link of the code of the simulator for the new dynamic model	link
TL-039	TMP-099	Program/code: Recurrent neural network codes	link
TL-040	TMP-101	Program/code: Proactive Behavior Generation – Open Source System –	link
TL-041	TMP-101	Program/code: Playground, Jupyter Notebook / Google Colab	link
TL-042	TMP-104	CKR Datalog Rewriter	link
TL-043	TMP-107	Website demo	link
TL-044	TMP-107	Services for claim identification and the retrieval engine	link
TL-045	TMP-107	Service for the text simplification	link
TL-046	TMP-108-TMP-034	SAI Simulator for Social AI Gossiping	link
TL-047	TMP-109	Pest control game demo	link
TL-048	TMP-109	The Pest Control Game experimental platform	link
TL-049	TMP-113	Prototype of a dialogue system that deliberates on top of the social context, in which the dialogue scenarios are easy to author.	link
TL-050	TMP-114	prototype	link
TL-051	TMP-120	Diurnal Patterns in the Spread of COVID-19 Misinformation on Twitter within Italy	link
TL-052	TMP-124	Trustworthiness of Voting Advice Applications in Europe	link
TL-053	TMP-126	Code for audio data collection	link
TL-054	TMP-126	Code for end-to-end response generation	link
TL-055	TMP-130	VLD Series Viewer	link
TL-056	TMP-133	X5Learn Platform	link
TL-057	TMP-133	TrueLearn Codebase	link
TL-058	TMP-133	TrueLearn Python library	link

Tutorials and Reports

ID	Microproject producing the dataset (linked to HAI Net page)	Description	Link
TR-001	TMP-016	Tutorial: Moving targets tutorial	link
TR-002	TMP-038	EduCourse: Open lectures and hands-on practicals	link
TR-003	TMP-042	Seminar: 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-004	TMP-058	Tutorial: “tutorial page documenting how to use the package	link
TR-005	TMP-059	Tutorial: a jupyter notebook tutorial for joint speech-text embeddings for spoken language understanding.	link
TR-006	TMP-059	Tutorial: part 1 (on dialogue modelling)	link
TR-007	TMP-059	Tutorial: part 2 (on LLMs)	link
TR-008	TMP-082	Report: ArXiv Technical Report on formalization	link
TR-009	TMP-086	Tutorial: A tutorial on the use of transformers for multimodal perception.	link
TR-010	TMP-086	Report: Report on challenges for the use of transformers for multimodal perception and interaction.	link
TR-011	TMP-096	Report: report summarizing the detailed results	link
TR-012	TMP-103	A pre-registration for the demographic study	link
TR-013	TMP-104	Report: echnical report	link
TR-014	TMP-121	Seminar: the Mossos d’Esquadra, the police authority in Barcelona.	Reach out to project contact person for access
TR-015	TMP-121	Seminar: the police education unit at Umeå Sweden.	Reach out to project contact person for access
TR-016	TMP-123	Report: Report of applicable mechanisms and formats for AI-innovation Report of the initial workshop	link
TR-017	TMP-123	Report: White Paper – Methods for AI implementation	link
TR-018	TMP-126	Report: Report for end-to-end response generation	link
TR-019	TMP-131	EduCourse: slides	link

July 25, 2023

ELISE, HumaneAI-Net

K4A gives support to IRCAI and AWS fellowship on climate via research network expertise

K4A will support with research capacity from EU projects a new program that selects and fully funds proof of concepts of new ideas leveraging advanced cloud computing and AI to solve some of the biggest challenges in the fight against climate change. It is a new program to fund Climate Tech startups’ R&D projects that need a great deal of cloud computing. Startups at any stage can apply, they just need to have a tech team capable of building with advanced computing services.

APPLY HERE

It supports entrepreneurs and startups applying advanced cloud computing and artificial intelligence (AI) to create new solutions that address the climate crisis. The Compute for Climate Fellowship will select innovative ideas and fully fund the design and building of their proof of concepts (PoC).

When a startup is selected for the fellowship, they will engage in a 2-3 month build with 1:1 advice from mentors and AWS credits to cover the AWS service costs of the build. Both IRCAI and AWS will provide selected startups with a team of mentors who are experts in AI, sustainability and ethics.

Startups will get access to advanced computing services, such as quantum computing, high-performance computing (HPC), artificial intelligence and machine learning (AI/ML), and AWS credits to cover the build of the PoC. In addition, all PoCs will be designed under the guidelines of UNESCO’s Ethics Impact Assessment for Artificial Intelligence to ensure that each solution is built with safe, trustworthy technology.

Run by:

Supported by:

European Learning and Intelligent Systems Excellence – Making Europe competitive in AI technology

May 25, 2023

General, HumaneAI-Net

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.

Irena Joveva MEP, HumaneAI delivering a one day event @ European Parliament, Presenting the new science of Artificial Intelligence that can put Europe on the world stage, May 25, 2023 Brussels, Belgium, European Parliament, Room A5G1

HumaneAI delivering a one day event @ European Parliament, Presenting the new science of Artificial Intelligence that can put Europe on the world stage, May 25, 2023 Brussels, Belgium, European Parliament, Room A5G1

October 3, 2022

HumaneAI-Net

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

September 21, 2022

General, HumaneAI-Net

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

Chatila Raja, Sorbonne University - European Network of Human-Centered Artificial Intelligence

Yvonne Rogers, University College London - European Network of Human-Centered Artificial Intelligence

European Network of Human-Centered Artificial Intelligence

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).

June 6, 2022

HumaneAI-Net

Organizing the Dagstuhl Workshop on Human-Centered AI Perspectives

Dagstuhl Report

Frank van Harmelen, Wendy Mackay and K4A director John Shawe-Taylor with the help of Virginia Dignum co-organized and ran the Human-Centred AI Perspectives Workshop at Dagstuhl from 26 June to 1 July, 2022, with 22 participants.

Society is undergoing a revolution in artificial intelligence (AI), with huge potential benefits, but also major risks for individuals and society. Increasingly, trust in the development, deployment, and the use of AI and autonomous systems concerns not only the technology’s inherent properties, but also the socio-technical systems of which they are part of, that is, the people, organisations, and societal environments in which systems are developed, implemented, and used. Currently, major challenges include the lack of fundamental theory and models to analyse and ensure that systems are aligned with human values and ethical principles, accountable, open to inspection, and understandable to diverse stakeholders. Furthermore, there is no doubt that this technological shift will have revolutionary effects on human life and society.

The goal of this Dagstuhl Perspectives Workshops was to contribute to shape that revolution, to provide the scientific and technological foundations for designing and deploying AI systems that work in partnership with human beings, to enhance human capabilities rather than replace human intelligence. Fundamentally new solutions are needed for core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems and to facilitate meaningful interaction between humans and AI systems.

June 26 – July 1 , 2022, Dagstuhl Perspectives Workshop 22262

April 15, 2022

HumaneAI-Net

Making artificial intelligence human-centric at the first post-pandemic HumaneAI-Net consortium meeting in person

This was the EU-funded HumanE-AI-Net project meeting which brought together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings. HumanE-AI-Net will lay the foundations for designing the principles for a new science that will make AI based on European values and closer to Europeans.

HumaneAI-Net meeting, April 12-14, 2022 Venice, Italy

October 14, 2019

HumaneAI-Net

Setting up a European Network of AI Excellence Centres

The HumaneAI project, delivering the roadmap for a new science in Artificial Intelligence, has met in Den Haag, the Netherlands in order to understand the scope for the H2020 call on European Network of Artificial Intelligence Excellence Centres.

The Humane AI 3rd meeting was held on 10-11 October 2019 in Den Haag with all partners attending.

September 30, 2019

HumaneAI-Net

HumaneAI interview series: Ville Mäkelä, LMU München

My blue sky project for AI is to make better humans, to improve the quality of life, to enable humans to do things that they perhaps couldn’t do before, to make people better than the best people out there currently.

Organized by HumaneAI, Paris, France, June 2019 ‏‏#artificialintelligence #humaneAI #responsibleAI @EU_Commission #videolectures #humanrobotinteraction