HORIZON-CL4-2022-HUMAN-01-05
Next Generation Safer Internet: Technologies to identify digital Child Sexual Abuse Material (CSAM) (RIA) -
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DIGITAL-2021-TRUST-01-SAFERINTERNET — Safer Internet Centres (SICs)
Both topics supporting safer internet - under the CL4 topic the aim is to create technologies/AI tools whereas the DIGITAL topics supports the Safer Internet Centers that are potential endusers of the research results (technologies and tools)
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DIGITAL-2023-DEPLOY-04-NETWORK-OF-SICs — Network of safer Internet Centres (SICs)
Connected via DIGITAL-2021-TRUST-01-SAFERINTERNET, not directly to the current topic.
The DIGITAL Topic in 2023 continues the support/funding of SICs.
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Call text (as on F&T portal)
View on F&T portalExpected Outcome:
Proposal results are expected to contribute to the following expected outcomes:
- AI tools and technologies (including classifiers) to identify digital Child Sexual Abuse Material (CSAM).
Scope:
One of the main challenges in the fight against online CSAM is the vast amount of potential new CSAM that Hotlines and Law Enforcement Agencies (LEAs) have to assess and classify as illegal prior to takedown. In 2018, for example, national LEAs in the EU received more than 500,000 referrals stemming from US internet providers, while INHOPE Hotlines are seeing increasing numbers of reports of CSAM hosted in the EU resulting from proactive search for CSAM. Relying on human analysts alone to assess such vast quantities of material slows up both law enforcement investigations and notice and takedown actions. There is therefore an urgent need to further develop and test AI tools which support the classification of CSAM. Such AI classifier tools will help law enforcement agencies (LEAs), INHOPE Hotlines, and industry to analyse the vast amounts of digital CSAM more efficiently through automated identification and prioritization, thus leading to swifter takedown of illegal material by Hotlines and industry, and more effective investigations by LEAs.
The proposals aim to develop mature tools that support the analytical work of LEAs and Hotlines, based on relevant classifiers that correspond to typical elements/characteristics of CSAM. The tools should allow identification, categorisation and prioritisation of digital CSAM from large data sets. The solutions should be robust enough and provide sufficient information to help Hotline analysts and law enforcement officers in their assessments.
To ensure that the proposed solutions are fit for purpose and effective, INHOPE Hotlines and LEAs should be involved in each project. Working in close cooperation with them, the proposals should build on existing infrastructures and processes already available to LEAs and INHOPE Hotlines. The proposals should ensure European added value through cross-border interoperability.
The proposals should define the characteristics and granularity of classifiers required, develop the classifiers, compose and annotate representative CSAM data sets, train and test the tools in cooperation with LEAs and INHOPE Hotlines. As CSAM is illegal, these data sets need to be provided by or composed mainly in cooperation with LEAs. To reduce the development and training time on this sensitive data, the proposed tools should be able to incorporate dynamically user feedback, preferably without the need of retraining the model. The proposed tools should also allow pre-training on data available for other general tasks, like image classification, object detection, instance segmentation, etc., in order to increase the accuracy and to reduce the exposure to sensitive data during training. The tools to be developed can also include other relevant features such as text-based data analysis, audio analysis from videos and/or automated key word extraction from audio or age detection.
All tools developed throughout the projects should be made freely available as Open Source Software, also for industry to use on a voluntary basis to detect and remove illegal material.
The topic, with its focus on more effective and efficient AI-based tools for processing online CSAM by a wide range of actors (NGOs, industry, Law enforcement), complements the objectives of Horizon Europe Cluster 3 Civil Security for Society[1], which advances research into perpetrators and on tools for law enforcement intelligence. Moreover, it will build on relevant work performed in previous EU-funded projects and national initiatives.
null
Activities are expected to start at TRL 3 and achieve TRL 7 by the end of the project – see General Annex B.
[1] HORIZON-CL3-2021-FCT-01-11: Prevention of child sexual exploitation
News flashes
Submissions to call HORIZON-CL4-2022-HUMAN-01
A total of 106 proposals has been submitted to the call HORIZON-CL4-2022-HUMAN-01, which closed on 5 April 2022. These proposals, of which the evaluation will be organized over the coming weeks and months, were submitted to the following topics:
HORIZON-CL4-2022-HUMAN-01-03 - Internet architecture and decentralised technologies (RIA)
9 proposals (indicative budget 22 EUR million)
HORIZON-CL4-2022-HUMAN-01-05 - Next Generation Safer Internet: Technologies to identify digital Child Sexual Abuse Material (CSAM) (RIA)
1 proposals (indicative budget 2 EUR million)
HORIZON-CL4-2022-HUMAN-01-07 - NGI International Collaboration - USA and Canada (RIA)
4 proposals (indicative budget 6 EUR million)
HORIZON-CL4-2022-HUMAN-01-14 - eXtended Reality Technologies (RIA)
67 proposals (indicative budget 19 EUR million)
HORIZON-CL4-2022-HUMAN-01-19 - eXtended Reality Learning - Engage and Interact (IA)
25 proposals (indicative budget 21,5 EUR million)
Submissions to call HORIZON-CL4-2022-HUMAN-01
A total of 106 proposals has been submitted to the call HORIZON-CL4-2022-HUMAN-01, which closed on 5 April 2022. These proposals, of which the evaluation will be organized over the coming weeks and months, were submitted to the following topics:
HORIZON-CL4-2022-HUMAN-01-03 - Internet architecture and decentralised technologies (RIA)
9 proposals (indicative budget 22 EUR million)
HORIZON-CL4-2022-HUMAN-01-05 - Next Generation Safer Internet: Technologies to identify digital Child Sexual Abuse Material (CSAM) (RIA)
1 proposals (indicative budget 2 EUR million)
HORIZON-CL4-2022-HUMAN-01-07 - NGI International Collaboration - USA and Canada (RIA)
4 proposals (indicative budget 6 EUR million)
HORIZON-CL4-2022-HUMAN-01-14 - eXtended Reality Technologies (RIA)
67 proposals (indicative budget 19 EUR million)
HORIZON-CL4-2022-HUMAN-01-19 - eXtended Reality Learning - Engage and Interact (IA)
25 proposals (indicative budget 21,5 EUR million)
Please note that the submission system opening for this call has been postponed to 21 December 2021.
Please note that the submission system opening for this call/topic has been postponed to 21 December 2021.
Please note that the submission system opening for this call has been postponed to 21 December 2021.
Please note that the submission system opening for this call/topic has been postponed to 21 December 2021.
Opening date: 2021-12-21 (4 years ago)
Closing date: 2022-04-05 (4 years ago)
Procedure: single-stage
Budget: 2,000,000
Expected grants: 1
Contribution: 2,000,000 - 2,000,000
This call topic has been appended 6 times by the EC with news.
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HORIZON-CL4-2022-HUMAN-01
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Call published · 30 Sep 2024 (2 years ago)
All expected milestones for this call have passed.
Work programme published
16 Apr 2021 · est.
Call opens
21 Dec 2021
Call closes
05 Apr 2022
Outcome expected
05 Sep 2022 · est.
Grant agreement signed
05 Dec 2022 · est.
Call published
30 Sep 2024
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Work programme published Estimated
16 Apr 2021 · 5 years ago
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Call opens
21 Dec 2021 · 4 years ago
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Call closes
05 Apr 2022 · 4 years ago
Deadline to submit a proposal.
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Outcome expected Estimated
05 Sep 2022 · 4 years ago
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Grant agreement signed Estimated
05 Dec 2022 · 3 years ago
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Call published
30 Sep 2024 · 2 years ago
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