|  | 1st CfP LEGAL 2024Legal and Ethical Issues in Human Language Technologies
 Workshop at LREC-COLING 2024, Turin, Italy
 
 https://legal2024.mobileds.de/
 
 May 25, 2024
 
 
 About the Workshop
 
 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.
 
 Important Dates
 
 Submission Deadline: March 4, 2024
 Notification of Acceptance: March 30, 2024
 Camera ready: April 5, 2024
 Workshop Day: May 25, 2024
 
 Topics
 
 - Impact of statutory exceptions on text and speech data mining
 practices in the field of Human Language Technologies.
 - Impact of the regulatory environment at the international level (e.g.
 EU Data Act, Digital Governance Act, Digital Services Act, AI Act; the
 Chinese “2023 draft rules on generative AI”, the USA Blueprint for an AI
 Bill of Rights and other international or national regulations) on the
 circulation and use of language data.
 - Legal issues related to the production and use of Large Language
 Models (Intellectual Property, Data Governance and Data Protection aspects).
 - Concrete applications as to how language technologies can help resolve
 legal issues related to data collection, data sharing and data reuse.
 - Ethical considerations related to personal data collection and re-use
 - Trust and transparency in language and speech technologies
 - Efficient anonymization techniques, and the related responsibility,
 and their impact on usability and performance
 - Re-identification issues/De-anonymization approaches and techniques
 - Harmonizing differing perspectives of data scientists and legal
 experts, worldwide
 
 
 Submission
 
 1500-2000 words extended abstracts 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 @ https://lrec-coling-2024.org/authors-kit/
 
 START Submission Page: https://softconf.com/lrec-coling2024/legal2024/
 
 Identify, Describe and Share your LRs!
 
 When submitting a paper from the START page, authors will be asked to
 provide essential information about resources (in a broad sense, i.e.
 also technologies, standards, evaluation kits, etc.) that have been used
 for the work described in the paper or are a new result of your
 research. Moreover, ELRA encourages all LREC-COLING authors to share the
 described LRs (data, tools, services, etc.) to enable their reuse and
 replicability of experiments (including evaluation ones).
 
 Organizers
 
 Ingo Siegert, OvG University Magdeburg (Germany)
 Khalid Choukri, ELRA/ELDA (France)
 Pawel Kamocki, IDS Mannheim (Germany)
 Kossay Talmoudi, ELDA (France)
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