SOURCE-LINKED INTELLIGENCE

value-ALIGNed socio-technical systems using large-language models (LLMs)

CORDIS · observation · Publication date unknown

value-ALIGNed socio-technical systems using large-language models (LLMs) Large Language Models (LLMs) are trained on broad data, using self-supervision at scale, to complete a wide range of tasks. Wider use of LLMs has risen in recent months due to applications such as ChatGPT. Although LLMs bring many opportunities to improve our everyday lives, the impacts on humans and society have not yet been prioritized or fully understood. Given the rapid development of these tools, the risk of negative implications is significant if LLMs are not developed and deployed in a way that is aligned with human values and responds to individual needs and preferences. To mitigate any negative consequences, academia, in close collaboration with industry, needs to train the next generation of researchers to understand the complexities of the socio-technical implications surrounding the use of LLMs. The alignAI Doctoral Network will train 17 doctoral candidates (DCs) to work i

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recordType

award

status

SIGNED

region

EU

value

3576974.4

unit

EUR