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Project | ToCertain

Duration:

Towards a Centre for European Research in Trusted Artificial Intelligence

Application fields

  • Other

The ToCERTAIN project aims to strengthen the development of trustworthy artificial intelligence (AI) that offers guarantees about its functionality (Trusted AI) and thus creates the necessary trust among users for the widespread, secure and reliable use of AI, even in critical applications. The current state of research and application of AI systems is still very inadequate in this regard, although industry is actively calling for these characteristics and corresponding certification. The current state of research and application of AI systems is still very inadequate in this regard, although industry is actively demanding these characteristics and corresponding certification. The multitude of aspects that contribute to trustworthy artificial intelligence are being developed in part at DFKI, but above all in close and intensive cooperation with partners from research and industry – at the site, in the greater region and throughout Europe. This collaboration is to be intensified and consolidated in the long term, with ToCERTAIN laying the foundation as an ambitious research project and establishing a highly visible beacon in Europe and beyond with the CERTAIN Centre and its closely networked partners.

Publications

  1. Modular Arithmetic: Language Models Solve Math Digit by Digit

    Tanja Bäumel; Daniil Gurgurov; Yusser Al Ghussin; Josef van Genabith; Simon Ostermann

    In: Kentaro Inui; Sakriani Sakti; Haofen Wang; Derek F. Wong; Pushpak Bhattacharyya; Biplab Banerjee; Asif Ekbal; Tanmoy Chakraborty; Dhirendra Pratap Singh (Hrsg.). Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. International Joint Conference on Natural…

Funding Authorities

EU - Europäische Union

EFRE-AuF-0000942

EU - Europäische Union

Land - Saarland

Land - Saarland