HORIZON-CL4-2021-HUMAN-01-01 | TopicTree (by Ideal-ist)

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HORIZON-CL4-2024-DATA-01-01
AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA)
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MOTIVATION Trustworthiness and energy efficiency shared goals.
HORIZON-CL4-2023-HUMAN-01-01
Efficient trustworthy AI - making the best of data (AI, Data and Robotics Partnership) (RIA)
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MOTIVATION Topic HORIZON-CL4-2021-HUMAN-01-01 shares a focus on robustness, efficiency, and data optimization for trustworthy AI development.

Call text (as on F&T portal)

View on F&T portal

Expected Outcome

Proposal results are expected to contribute to at least one of the following expected outcomes:

World-class transparent, explainable, accountable and trustworthy AI, based on smarter, safer, secure, resilient, accurate, robust, reliable and dependable solutions.
Improved AI solutions aiming to meet the industrial[1] requirements in terms of autonomy, accuracy, safety, repeatability, robustness, resilience, security, etc.
Greener AI.
Next level of AI-based solutions, exploiting the intelligence embedded in the edge-to cloud infrastructure
Advances in complex systems & socially aware AI

Scope

Develop trustworthy AI technology, key for acceptance, to take full advantage of the huge benefits such technology can offer, and demonstrate the benefits in particular applications. This will require improvement in transparency: explainability, accountability and responsibility, safety, expected levels of technical performance (accuracy, robustness, level of ‘intelligence’ and autonomy, etc.) which are guaranteed/verifiable and with corresponding confidence levels.

Build the next level of “intelligence” and autonomy, essential to scale-up deployment, in solving wider set and more complex problems, adapting to new situations and context knowledge, addressing real-time performance requirements and data and energy efficiency, also for greener AI and robotics solutions. This will investigate approaches such as integration of both learning and reasoning, causality, contextualization and knowledge discovery, hybrid semi-parametric models (combining laws of physics with observations, aka physics-informed machine learning), human-in-the loop approaches, etc.

Contribute to making AI and robotics solutions meet the requirements of Trustworthy AI, based on the respect of the ethical principles, the fundamental rights, including privacy. Ethics principles needs to be adopted from early stages of AI development and design.

In this topic, solid scientific developments will be complemented, as relevant, by tools and processes for design, testing and validation, certification (where appropriate), software engineering methodologies, as well as approaches to modularity and interoperability, aimed at real-world applications. Where appropriate proposals are encouraged to propose standardisation methods to foster AI industry, helping to create, and guarantee trustworthy and ethical AI, and in support of the Commission regulatory framework.

Scientific proposals are expected to focus on advancing the state of the art in one of the major research areas below:

Novel or promising learning (such as unsupervised, self-supervised, representational learning capable of contextualization, transfer learning, life-long and continual learning, etc.) as well as symbolic and hybrid approaches. The objective is to advance “intelligence” and autonomy of AI-based systems, essential to scale-up deployment, in solving a wider set of more complex problems, adapting to new situations (making them “smarter”, more accurate, robust, dependable, versatile, reliable, secured, safer, etc.), and addressing real-time performance requirements, where relevant, for both robotics and non-embodied AI systems. This will include, among others, integration of both learning and reasoning, combining data-driven and knowledge-based models, causality, contextualization and knowledge discovery. Approaches can build on simulation and digital twins, or include data augmentation, knowledge modelling, federation of AI systems – including the use of distributed data – federated learning, and new AI methods ensuring scalability and re-usability. This topic also supports innovative or promising approaches addressing functional and performance guarantees.

Advanced transparency in AI, including advances in explainability, in transparency (with guaranteed/verifiable levels of performance, confidence levels, etc.), investigating novel or improved approaches increasing users’ understanding of AI system behaviour, and therefore increasing trust in such systems.

Greener AI, increasing data and energy efficiency. This covers research towards lighter, less data-intensive and energy-consuming models, optimized learning processes to require less input (data efficient AI), or optimized models, data augmentation, synthetic data, transfer learning, one-shot learning, continuous / lifelong learning, and optimized architectures for energy-efficient hardware, framework that optimises calculations for energy reduction in big data analytics. This also build on latest results in self-configuring, low-power or energy harvesting capable sensor devices, and low power data transmission and energy reduction in big data analytics (e.g. a framework that optimises calculations, leading to decreasing use of energy, etc.).

Advances in edge AI networks, bringing intelligence near sensors, in embedded systems with limited computational, storage and communication resources, as well as the integration of advanced and adaptive sensors and perception (including multi-modal sensing and active perception, distributed sensing, etc.), but also optimising edge vs cloud AI to maximise the capabilities of the overall system (both globally and for individual users). This builds on latest hardware development (for which synergies with the European Partnership for Key Digital Technologies (KDT) is encouraged), but does not cover such hardware developments.

Complex systems & socially aware AI: able to anticipate and cope with the consequences of complex network effects in large scale mixed communities of humans and AI systems interacting over various temporal and spatial scales. This includes the ability to balance requirements related to individual users and the common good and societal concerns, including sustainability, non-discrimination, equity, diversity etc.

Proposals should clearly identify its focused research area among the 5 listed above.

Proposals should include, as appropriate, the development of tools and processes for design, testing and validation, deployment and uptake, auditing, certification (where relevant), software engineering methodologies, as well as approaches to modularity and interoperability.

To complement the impressive progress in developing individual AI algorithms and components, proposals could also address the development of scientific foundations for designing, modelling, analysing, operating, monitoring, integrating, maintaining and extending AI systems.

In all these topics, involvement of multidisciplinary teams and transdisciplinary research, including SSH as appropriate, will be essential. The consortia should involve world-class research labs and top scientists, joining forces to address these major scientific challenges, and they are strongly encouraged to team up with European companies (large and small) representing major industrial sectors for Europe, genuinely interested in S&T progress in these fields, and which consider adoption of AI “made in Europe” key for their competitiveness[2].

While the proposals should address scientific foundations, relevance to real-world applications should be demonstrated, in particular through use-cases used to demonstrate scientific progress.

All proposals are expected to embed mechanisms to assess and demonstrate progress (with qualitative and quantitative KPIs, demonstrators, benchmarking and progress monitoring), and share communicable results with the European R&D community, through the AI-on-demand platform[3], a public community resource, to maximise re-use of results and efficiency of funding.

Activities are expected to achieve TRL 4-5 by the end of the projects.

Proposals should foresee activities to collaborate with projects stemming from topics relevant to AI, Data and Robotics, primarily in destinations 3, 4 and 6, but also in other destinations and clusters (in particular Cluster 3 on cybersecurity where relevant), and share or exploit results where appropriate.

This topic implements the co-programmed European Partnership on AI, Data and Robotics.

All proposals are expected to allocate tasks to cohesion activities with the PPP on AI, Data and Robotics and funded actions related to this partnership, including the CSA HORIZON-CL4-2021-HUMAN-01-02.

Specific Topic Conditions:

Activities are expected to start at TRL 2-3 and achieve TRL 4-5 by the end of the project – see General Annex B.

Cross-cutting Priorities:

Digital AgendaArtificial IntelligenceCo-programmed European PartnershipsSocial sciences and humanities

[1]Including all industries from manufacturing to service, both public and private.

[2]https://ec.europa.eu/digital-single-market/en/artificial-intelligence#Coordinated-EU-Plan-on-Artificial-Intelligence

[3]Initiated under the AI4EU project https://cordis.europa.eu/project/id/825619 and further developed in projects resulting from H2020-ICT-49-2020 call

News flashes

2022-03-30

Call for proposals: HORIZON-CL4-2021-HUMAN-01

Deadline: 21 October 2021

Available budget: EUR 206.000.000

Topic code

Type(s) of action

Budget

HORIZON-CL4-2021-HUMAN-01-01

RIA

36,000,000 €

HORIZON-CL4-2021-HUMAN-01-02

CSA

13,000,000 €

HORIZON-CL4-2021-HUMAN-01-03

RIA

9,000,000 €

HORIZON-CL4-2021-HUMAN-01-04

RIA

12,000,000 €

HORIZON-CL4-2021-HUMAN-01-05

RIA

17,000,000 €

HORIZON-CL4-2021-HUMAN-01-06

IA

26,000,000 €

HORIZON-CL4-2021-HUMAN-01-07

CSA

2,000,000 €

HORIZON-CL4-2021-HUMAN-01-08

CSA

2,000,000 €

HORIZON-CL4-2021-HUMAN-01-09

CSA

1,500,000 €

HORIZON-CL4-2021-HUMAN-01-13

RIA

14,500,000 €

HORIZON-CL4-2021-HUMAN-01-14

RIA

6,000,000 €

HORIZON-CL4-2021-HUMAN-01-17

CSA

1,000,000 €

HORIZON-CL4-2021-HUMAN-01-18

CSA

1,000,000 €

HORIZON-CL4-2021-HUMAN-01-19

CSA

5,000,000 €

HORIZON-CL4-2021-HUMAN-01-20

CSA

2,000,000 €

HORIZON-CL4-2021-HUMAN-01-21

RIA

8,500,000 €

HORIZON-CL4-2021-HUMAN-01-24

RIA

10,000,000 €

HORIZON-CL4-2021-HUMAN-01-25

IA

14,000,000 €

HORIZON-CL4-2021-HUMAN-01-26

RIA

5,000,000 €

HORIZON-CL4-2021-HUMAN-01-27

RIA

13,000,000 €

HORIZON-CL4-2021-HUMAN-01-28

CSA

2,500,000 €

HORIZON-CL4-2021-HUMAN-01-29

CSA

2,500,000 €

HORIZON-CL4-2021-HUMAN-01-30

CSA

1,500,000 €

HORIZON-CL4-2021-HUMAN-01-31

CSA

1,000,000 €

The Commission has now completed the evaluation of the proposals submitted to the above-mentioned call.

The results of the evaluation are as follows:

Number of proposals submitted (including proposals transferred from or to other calls): 206

Number of inadmissible proposals: 4

Number of ineligible proposals: 9

Number of above-threshold proposals: 137

Total budget requested for above-threshold proposals: EUR 673.341.542

We recently informed the applicants about the evaluation results for their proposals.

It is expected that the first grant agreements will be signed by June 2022.

Information on the selected projects will be published on CORDIS [1] after that date.

Please note that the number of proposals that can finally be funded will depend on the finally available budget and the formal selection by the Commission.

For questions, please contact the Research Enquiry Service [2].

[1] Available at http://cordis.europa.eu/projects/home_en.html

[2] Available at http://ec.europa.eu/research/enquiries

2021-11-05

Submissions to call HORIZON-CL4-2021-HUMAN-01

A total of 206 proposals has been submitted to call HORIZON-CL4-2021-HUMAN-01, which closed on 21 October 2021. These proposals, of which the evaluation will be organized over the coming weeks and months, were submitted to the following topics:

HORIZON-CL4-2021-HUMAN-01-01 - Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA)

38 proposals (indicative budget 36 EUR million)

HORIZON-CL4-2021-HUMAN-01-02 - European coordination, awareness, standardisation & adoption of trustworthy European AI, Data and Robotics (AI, Data and Robotics Partnership) (CSA)

3 proposals (indicative budget 13 EUR million)

HORIZON-CL4-2021-HUMAN-01-03 - European Network of AI Excellence Centres: Pillars of the European AI lighthouse (RIA)

2 proposals (indicative budget 9 EUR million)

HORIZON-CL4-2021-HUMAN-01-04 - Trust & data sovereignty on the Internet (RIA)

7 proposals (indicative budget 12 EUR million)

HORIZON-CL4-2021-HUMAN-01-05 - Trustworthy open search and discovery (RIA)

7 proposals (indicative budget 17 EUR million)

HORIZON-CL4-2021-HUMAN-01-06 - Innovation for Media, including eXtended Reality (IA)

15 proposals (indicative budget 26 EUR million)

HORIZON-CL4-2021-HUMAN-01-07 - Next Generation Internet community-building and outreach (CSA)

7 proposals (indicative budget 2 EUR million)

HORIZON-CL4-2021-HUMAN-01-08 - NGI International Collaboration - Transatlantic fellowship programme (CSA)

2 proposals (indicative budget 2 EUR million)

HORIZON-CL4-2021-HUMAN-01-09 - NGI Tech Review (CSA)

1 proposals (indicative budget 1,5 EUR million)

HORIZON-CL4-2021-HUMAN-01-13 - eXtended Reality Modelling (RIA)

18 proposals (indicative budget 14,5 EUR million)

HORIZON-CL4-2021-HUMAN-01-14 - eXtended Reality for All – Haptics (RIA)

3 proposals (indicative budget 6 EUR million)

HORIZON-CL4-2021-HUMAN-01-17 - Awareness raising on Intellectual property (IP) management for European R&I (CSA)

5 proposals (indicative budget 1 EUR million)

HORIZON-CL4-2021-HUMAN-01-18 - Fostering standardisation to boost European industry's competitiveness (CSA)

4 proposals (indicative budget 1 EUR million)

HORIZON-CL4-2021-HUMAN-01-19 - Testing innovative solutions on local communities’ demand (CSA)

6 proposals (indicative budget 5 EUR million)

HORIZON-CL4-2021-HUMAN-01-20 - Piloting a new industry-academia knowledge exchange focussing on companies’ needs (CSA)

6 proposals (indicative budget 2 EUR million)

HORIZON-CL4-2021-HUMAN-01-21 - Art-driven use experiments and design (RIA)

13 proposals (indicative budget 8,5 EUR million)

HORIZON-CL4-2021-HUMAN-01-24 - Tackling gender, race and other biases in AI (RIA)

24 proposals (indicative budget 10 EUR million)

HORIZON-CL4-2021-HUMAN-01-25 - eXtended Collaborative Telepresence (IA)

6 proposals (indicative budget 14 EUR million)

HORIZON-CL4-2021-HUMAN-01-26 - Workforce skills for industry 5.0 (RIA)

12 proposals (indicative budget 5 EUR million)

HORIZON-CL4-2021-HUMAN-01- 27 - AI to fight disinformation (RIA)

22 proposals (indicative budget 13 EUR million)

HORIZON-CL4-2021-HUMAN-01- 28 - eXtended Reality Ethics, Interoperability and Impact (CSA)

2 proposals (indicative budget 2,5 EUR million)

HORIZON-CL4-2021-HUMAN-01-29 - Support for transnational activities of National Contact Points in the thematic area of Digital (CSA)

1 proposals (indicative budget 2,5 EUR million)

HORIZON-CL4-2021-HUMAN-01-30 - Support for transnational activities of National Contact Points in the thematic area of Industry (CSA)

1 proposals (indicative budget 1,5 EUR million)

HORIZON-CL4-2021-HUMAN-01-31 - Support for transnational activities of National Contact Points in the thematic area of Space (CSA)

1 proposals (indicative budget 1 EUR million)

2021-10-12

Please note that the 'Other annexes' box has been added in the submission system to allow the upload of an Annex with the description of the use of financial support to third parties. The description of the content of this annex is described in the Part B of the Application Form.

This annex should only be uploaded for topics:

HORIZON-CL4-2021-HUMAN-01-03 - European Network of AI Excellence Centres: Pillars of the European AI lighthouse (RIA)

HORIZON-CL4-2021-HUMAN-01-04 -Trust & data sovereignty on the Internet (RIA)

HORIZON-CL4-2021-HUMAN-01-05 -Trustworthy open search and discovery (RIA)

HORIZON-CL4-2021-HUMAN-01-06 -Innovation for Media, including eXtended Reality (IA)

HORIZON-CL4-2021-HUMAN-01-08 -NGI International Collaboration - Transatlantic fellowship programme (CSA)

HORIZON-CL4-2021-HUMAN-01-13 -eXtended Reality Modelling (RIA)

HORIZON-CL4-2021-HUMAN-01-19 - eXtended Reality Learning - Engage and Interact (IA)

HORIZON-CL4-2021-HUMAN-01-20 -Piloting a new industry-academia knowledge exchange focusing on companies' needs (CSA)

HORIZON-CL4-2021-HUMAN-01-21 -Art-driven use experiments and design (RIA)

HORIZON-CL4-2021-HUMAN-01-25 -eXtended Collaborative Telepresence (IA)

Please do not use it for any other topic, the information will be disregarded.

Please note that, by mistake, topicHORIZON-CL4-2021-HUMAN-01-19 was not listed in the previous update

2021-10-04

Please note that the 'Other annexes' box has been added to the submission system.

However, please keep in mind that this box should not be used for proposals submitted to this topic, because it is reserved for the description of the use of financial support to third parties, not allowed for this topic. Any information uploaded in that box will be disregarded.