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Research project

Exploring Fairness and Bias of Multimodal Natural Language Processing for Mental Health

Project overview

International partnership project between the University of Southampton and Northeastern University focused on the responsible use of AI in addressing mental health issues, such as suicide ideation. Our collaboration is centred around ethical application, ensuring fairness and avoiding biases in the models. Our key activities will include sharing resources between institutions (datasets and models), evaluating models for potential biases, and proposing policy recommendations for AI in mental health, as well as broadening collaborations and incorporating stakeholders early in the process, ensuring that AI integration in mental health is both innovative, ethically grounded and addressing real users’ needs.

Staff

Lead researchers

Dr Rafael Mestre PhD, MSc, BSc

Lecturer

Research interests

  • Responsible Research and Innovation of emergent technologies
  • Multimodal machine learning and Natural Language Processing
  • Computational social science
Connect with Rafael

Email: R.Mestre@soton.ac.uk

Other researchers

Dr Stuart Middleton

Associate Professor

Research interests

  • Natural Language Processing
  • Human-in-the-loop NLP: Active Learning, Adversarial Training, Rationale-based Learning, Interactive Sense Making
  • Information Extraction: Few/Zero Shot Learning, Graph-based Models, Behaviour Classification, Geoparsing/Location Extraction, Event Extraction, Argument Mining
Connect with Stuart

Email: sem03@soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs

AI for defence: readiness, resilience and mental health
Stuart E. Middleton, Alec Banks, Daniel Leightley, Patrick Hinton, Sarah Ashbridge, Dan Adler, Maria Liakata, Anahid Basiri & Brant Chee, 2024, RUSI Journal, 169, 52 - 62
DOI: 10.1080/03071847.2024.2424780
Type: article