ExCisc · Exchange of best practices in Collaborative Intelligence for Safety Critical applications
„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“
- Период
- 2026-09-01 → 2030-08-31
- Финансиране от ЕС
- 1 538 070 €
- Участници
- 20
- Схема
- HORIZON-TMA-MSCA-SE
Линиите свързват координатора с партньорите.
Накратко на български
Сътрудничеството между изкуствен интелект и хора в опасни индустриални среди се изследва чрез роботизирани системи, които подпомагат, а не заместват човека. Това помага за повишаване на безопасността и прозрачността при вземане на решения в рискови ситуации.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
ExCISC – Exchange of Best Practices in Collaborative Intelligence for Safety-Critical Applications responds to the EU’s strategic agenda to strengthen Europe’s leadership in AI by promoting ethical, inclusive, and human-centric innovation. Aligned with the Industry 5.0 vision and the 2024 Trustworthy AI policy framework, ExCISC addresses the urgent need for interdisciplinary collaboration to develop AI systems that enhance—not replace—human decision-making in safety-critical domains. Building on the successful CISC MSCA ITN, which trained 14 Collaborative Intelligence Scientists and produced over 100 publications, ExCISC will expand this foundation through structured international, intersectoral, and interdisciplinary staff exchanges.The project focuses on real-world deployment of collaborative intelligence in industrial environments, integrating AI, robotics, human factors, neuroergonomics, system safety, cybersecurity, and ethical/legal expertise. It will demonstrate how adaptive automation, explainable AI, and human-in-the-loop ecosystems can improve operational transparency, safety, and performance. Live Labs will serve as experimental platforms to test new paradigms of human-machine collaboration, ensuring situational awareness and resilience in high-risk settings.ExCISC tackles key challenges such as the opacity of AI systems, unrealistic expectations of human intervention in automation failures, and the need for interpretable and interoperable solutions. By fostering a network of researchers and practitioners, the project will advance trustworthy AI methodologies and contribute to Europe’s vision of responsible, human-centric technological leadership.
Оригинален текст от CORDIS (на английски).
Участници
- TECHNOLOGICAL UNIVERSITY DUBLIN · DublinКоординаторИрландия
- AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH · WienАвстрия
- ANALISI DEI RISCHI INDUSTRIALI E AMBIENTALE · TORINOИталия
- ATLANTIC TECHNOLOGICAL UNIVERSITY · LetterkennyИрландия
- FAKULTET INZENJERSKIH NAUKA UNIVERZITETA U KRAGUJEVCU · KragujevacСърбия
- HUGIN EXPERT AS · AalborgДания
- ISTANBUL TEKNIK UNIVERSITESI · Maslak, IstanbulТурция
- LIBERA UNIVERSITA DI BOLZANO · BolzanoИталия
- MATHEMA SRL · FirenzeИталия
- MBRAINTRAIN DOO BEOGRAD-SAVSKI VENAC · BEOGRADСърбия
- NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS"""" · Agia ParaskeviГърция
- PILZ IRELAND INDUSTRIAL AUTOMATION DISTRIBUTION · CorkИрландия
- POLITECNICO DI MILANO · MilanoИталия
- POLITECNICO DI TORINO · TorinoИталия
- SPINDOX LABS SRL · TrentoИталия
- THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN · DublinИрландия
- UNITED KINGDOM ATOMIC ENERGY AUTHORITY · AbingdonОбединеното кралство
- UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA · MilanoИталия
- UNIVERSITY OF STRATHCLYDE · GlasgowОбединеното кралство
- YOKOGAWA UNITED KINGDOM LIMITED · Runcorn, CheshireОбединеното кралство
Връзки
Данни: CORDIS, © Европейски съюз