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In this talk I examine the role of humanities research where nearly every aspect of human experience is turned into data and analysed, in many cases to model, predict and modify behaviour. As a result and through advances in computing technology, artificial intelligence systems have colonised traditional areas of humanities research, including linguistics and language studies. Today, large multimodal models (LMM) can process text, images, videos and sound, potentially leading to the development of algorithmic approaches to modelling society and culture. In this talk, I explore how humanities researchers can leverage the benefits and mitigate the risks of these latest technological developments and prepare scholars for the challenges which lie ahead. I provide some examples from the Digital Media and Society Institute (DMSI) at the University of Liverpool where communication and media researchers are working with data scientists to investigate how multimodal information is re-contextualised across online media platforms. This includes new methods for studying information distortions (e.g. misinformation, disinformation and memes) and public reactions to key events.
Event date: 31/03/2025
Speaker: Professor Kay O’HALLORAN (University of Liverpool)
Hosted by: Faculty of Humanities
- Keywords:
- Artificial intelligence Research Humanities -- Research
- Resource Type:
- Video
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Video
The rapid development of artificial intelligence and large language models have led to the language industry and translation and interpreting education programs re-imagining how to engage with these technologies. While some language industry stakeholders seek to leverage these tools to support the provision of language services and language access, others have sought to resist this technological incursion on ethical and professional grounds. The impact of these tools is undoubtedly far reaching, to the point that trainers and educators must now respond to these developments. This talk reviews some of the ways in which artificial intelligence, large language models, and translation and interpreting technologies can be leveraged in educational and training programs while offering possible means to resist uncritical adoption of these tools. The talk provides suggestions on how university programs can prepare future graduates to interface with these technologies and drive ethical and responsible technology use.
Event date: 13/02/2025
Speaker: Dr. Christopher D. MELLINGER (The University of North Carolina at Charlotte)
Hosted by: Faculty of Humanities
- Subjects:
- Translating and Interpreting
- Keywords:
- Artificial intelligence Translating interpreting -- Study teaching Translating interpreting -- Technological innovations
- Resource Type:
- Video