AI research The Faculty of Arts and Humanities stands on the threshold of harnessing the transformative potential of AI — with a steadfast commitment to centering people in it's design and dissemination to reduce harm and risk. You are here Home Faculty of Arts and Humanities Research and innovation Beyond the algorithm: Shaping AI for people, not just progress AI research Muses Mind Machine Muses Mind Machine is transforming the understanding and employment of the arts to support human flourishing. The projects which include considerations of ethics, copyright, risks and creative opportunities of AI and technology for creative arts. Bibliothèque britannique Unlocking Hidden History: How Digital Tools Are Making a Two-hundred Year Old Publication Accessible and Exciting Again. MIMA: Machine Intelligence for Musical Audio MIMA is a cross-disciplinary research team applying machine learning methods to the generation and interpretation of music. Participatory Harm Auditing Workbenches and Methodologies Participatory Harm Auditing Workbenches and Methodologies (PHAWM) seeks to find a balance between progress and ethics. Where non-experts including regulators, end-users and people likely to be affected by decisions made by AI systems play a role in ensuring that systems provide fair and reliable outputs. AI research in the social sciences The social sciences, much like the arts and humanities, play a vital role in shaping how AI is developed, implemented, and integrated into society. Their contribution helps ensure that technology serves human values rather than undermining them.
