In recent years the use of deep learning technologies for language resources on the one hand and the demand for high quality data interactions on the other raises the need for data collections of interaction resources.
These data, despite their intangible nature, may be subject to legal constraints which need to be addressed in order to guarantee lawful access to the data. The legal framework takes time to reform, and therefore law is always lagging behind the technology. In recent years, considerable efforts have been made to adapt the legal framework 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. How can identifying information be removed or anonymized, how reliable are predictions/models based on these data? What is the IPR status of models derived from language data, and is the very process of deriving such models within the ambit of IPR? Which impact does this have on the usability, computational costs?
The purpose of this workshop will be the attempt to build bridges between technology and legal experts and discuss current legal and ethical issues in the human language technology sector.
1500-2000 words extended abstracts (by 8 April 2022) are needed at first for submission. The full papers will be published as workshop proceedings along with the LREC main conference by ELRA. For these, the instructions of LREC need to be followed.
Ingo Siegert, Otto-von-Guericke-Universität Magdeburg, Germany
Khalid Choukri, ELRA/ELDA, France
Mickaël Rigault, ELRA/ELDA, France
Andreas Nautsch, ISCA SIG SPSC, Germany
Pawel Kamocki, IDS Mannheim, Germany
Andreas Witt, IDS Mannheim, Germany
Krister Linden, University of Helsinki, Finland