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2023 is likely to be remembered as a year dominated by discussions about Artificial Intelligence (AI) and Large Language Models (LLM). These technologies require data to be collected and utilized in unprecedented amounts. Large sets of Language data are owned by stakeholders that are not necessarily involved in the development of such technologies. To use these sets for AI and LLM, it is essential to repackage and repurpose them for such endeavor. Language data, despite their intangible nature, are often subject to legal constraints which need to be addressed in order to guarantee lawful access to and re-use of these data. In recent years, considerable efforts have been made to adapt legal frameworks to the advancements in technology while taking into account the interests of various stakeholders. From the technological perspective, the strict consideration of legal aspects imposes further questions besides pure recording technology and participant consent. This arises in several key elements:
What is the Intellectual Proprietary status of Large Language sets, the corresponding Large Language Models, and their potential outputs? How can identifying information used in deep learning be removed or anonymized (and is this mandatory), how reliable are predictions/ models based on anonymized data? Which impact does this have on the usability, computational costs?
The purpose of this full-day workshop is to build bridges between technology and legal framework, and discuss current legal and ethical issues in the human language technology sector.
1500-2000 words extended abstracts (by 04 March 2024) are needed at first for submission. The full papers will be published as workshop proceedings along with the LREC-Coling main conference. For these, the instructions of the main conference need to be followed. Submit via Softconf
Deadline for submission of extended abstracts
Notification of acceptance
Submission of final version of accepted papers
Ingo Siegert, Otto-von-Guericke-Universität Magdeburg, Germany
Khalid Choukri, ELRA/ELDA, France
Pawel Kamocki, IDS Mannheim, Germany