AI-supported language learning: opportunities and challenges for more accessible and personalised education.

• Adapting teaching content to the specific needs of learners (e.g. dyslexia, visual impairment, learning at different speeds).
• Analysis of the effectiveness of conversational chatbots and voice assistants for language learning.
• Automated feedback and personalised learning paths thanks to automatic natural language processing.

Language teaching and inclusion: adaptive teaching strategies for a heterogeneous public.

• Integrating digital tools for more equitable learning in multicultural and multilingual environments.
• Development of technological adaptations for teaching languages to people with disabilities.
• Improving leaner engagement and motivation through gamified and immersive approaches.
• Detecting and correcting pedagogical bias in language teaching using AI.
• Interactive online courses and innovative methods to promote linguistic incluison.
• Online teaching platforms with interactive and adaptive content.
• Using augmented reality and virtual reality to create immersive experiences.

Using digital art as a language learning tool: immersive experiences and interactive performances in the classroom.

• Development of the digital theatre, interactive storytelling and virtual role-playing to enhance language skills.
• Integrating virtual and augmented reality to transform language learning and cultural immersion.
• Creation of podcasts, videos and multimedia content by students for an active and participative approach to learning.
• Using the translation and adaptation of artistic works as a teaching tool in language teaching.

Digital humanities and linguistic justice: training teachers and content creators in inclusion issues.

• Raising awareness of linguistic inequalities in the digital space and adopting a more inclusive teaching approach.
• Decolonisation of language learning tools and platforms to improve the equity of digital resources
• Development of multilingual and accessible Open Educational Resources (OER) for barrier-free learning.
• Co-creation of digital educational content that respects linguistic and cultural diversity.

Artificial intelligence and automatic language processing: improving the accessibility of multilingual content for a wide audience, including people with disabilities.

• Development of AI models capable of recognising and generating content in several languages, including poorly endowed languages and dialects.
• Improving speech recognition and text-to-speech thanks to AI, particularly for languages with complex tones or characters.
• Automatic language simplification using AI for people with reading disabilities or learning difficulties.

Exploring AI-based tools and language processing: refining machine translation and localisation in multilingual environments.

• Customisation of machine translation systems according to the context of use (education, media, public services).
• Improved localisation of educational, artistic and commercial content to ensure effective adaptation.

Machine translation and post-editing: guaranteeing inclusiveness and reducing linguistic bias.

• Detecting and correcting cultural and gender bias in machine translation.
• Strengthening the role of human translators in improving AI-generated content.
• Training and upgrading the skills of translation professionals in the face of new linguistic technologies.

Linguistic accessibility and special needs: AI solutions to improve equity in communication.

• Automation and customisation of subtitling and audio description to improve the user experience.
• Development of AI-assisted sign language translation and assessment of its current limitations.
• Improving multimodal interfaces and the interoperability of accessibility solutions to ensure seamless integration in various digital contexts.

AI and preservation of minority languages: strengthening linguistic equity and diversity.

• Creation of corpora and databases for the documentation and revitalisation of endangered languages.
• Mobilising native speakers via AI and linguistic crowdsourcing to enrich translation models.
• Involvement of governments, academic institutions and technology companies in preserving poorly endowed languages.

Using technology to enrich linguistic and cultural experiences through digital art.

• Developing immersive and interactive experiences to rethink audience engagement through VR and AR.
• Integration of minority and indigenous languages in artistic works and interactive performances.
• Creation of multilingual artistic platforms promoting diversity and inclusion.

Translation and accessibility in digital art: adapting performances and content for a wider audience.

• Development of automated subtitling and real-time translation for interactive shows and exhibitions.
• Optimising artistic translation using artificial intelligence.
• Accessibility of digital works for the visually and hearing impaired via audio narration, haptic interfaces and sign language translation.

Artistic creation and artificial intelligence: generating works that are multilingual and accessible to all.

• Using generative algorithms to push back the boundaries of artistic expression.
• Development of AI as a co-creation tool for artists and translators.
• Designing AI models capable of generating inclusive artistic content that respects cultural diversity.
• Management of ethical issues and intellectual property of works created by AI.

Interactive performances and linguistic diversity: integrating languages and cultures in the digital arts.

• Developing multilingual and multicultural shows and performances that encourage linguistic interaction.
• Experimenting with voice recognition technologies to adapt performance in real time.
• Inclusion of dialects and endangered languages in digital artistic productions.

Art, technology and social commitment: raising awareness and inclusion through digital creation.

• Using digital art as a tool of expression for marginalised linguistic communities.
• Development of projects promoting socially committed art and social struggles using artificial intelligence.
• Creation of platforms and collaborative spaces to promote linguistic and cultural mediation.