[iva] CfP Legal Workshop at LREC-Coling 2024
Ingo Siegert
ingo.siegert at ovgu.de
Sat Jan 27 08:43:06 CET 2024
[Apologies if you receive multiple copies of this message]
=====================================
*CfP
LEGAL 2024 – May 25, 2024*
*Legal and Ethical Issues in Human Language Technologies
Workshop at LREC-Coling 2024, Turin, Italy*
*Important Dates*
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?
Submission Deadline:
March 4, 2024
Notification of Acceptance:
March 30, 2024
Camera ready:
April 5, 2024
*Organizers*
Ingo Siegert,
University Magdeburg,
Germany
Khalid Choukri,
ELRA/ELDA, France
Pawel Kamocki,
IDS Mannheim, Germany
The purpose of this workshop is to build bridges between technology and
the legal frameworks and discuss current legal and ethical issues in the
human language technology sector.
*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, 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<https://lrec-coling-2024.org/authors-kit/>_followed_
<https://lrec-coling-2024.org/authors-kit/>.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.uni-bielefeld.de/mailman2/unibi/public/iva-list/attachments/20240127/ea57c0e3/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image1.png
Type: image/png
Size: 258822 bytes
Desc: not available
URL: <http://lists.uni-bielefeld.de/mailman2/unibi/public/iva-list/attachments/20240127/ea57c0e3/attachment-0001.png>
More information about the iva-list
mailing list