34.1712, Calls: International Workshop on GENerative, Explainable and Reasonable Artificial Learning

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LINGUIST List: Vol-34-1712. Wed May 31 2023. ISSN: 1069 - 4875.

Subject: 34.1712, Calls: International Workshop on GENerative, Explainable and Reasonable Artificial Learning

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================================================================


Date: 30-May-2023
From: Federico Torrielli [cfp at evilscript.eu]
Subject: International Workshop on GENerative, Explainable and Reasonable Artificial Learning


Full Title: International Workshop on GENerative, Explainable and
Reasonable Artificial Learning
Short Title: GENERAL

Date: 20-Sep-2023 - 22-Sep-2023
Location: Turin, Italy
Contact Person: Federico Torrielli
Meeting Email: federico.torrielli at unito.it
Web Site: https://bit.ly/generalworkshop2023

Linguistic Field(s): Computational Linguistics; Psycholinguistics;
Sociolinguistics

Call Deadline: 23-Jun-2023

Meeting Description:

The GENERAL workshop explores advances in General and Generative
Artificial Intelligence (GGAI), including breakthroughs in areas like
natural language processing (NLP) and computer vision (CV). It
emphasizes the emerging capabilities of Large Language Models (LLMs)
and Latent Diffusion Models (LDMs) and promotes Human-Centered AIs
with applications like ChatGPT and Midjourney. The workshop delves
into generating human-like content across text and images,
highlighting the creative, coherent, and unexpected properties of
these AI models. A key aspect is AI explainability, focusing on
understanding, explaining, and controlling the complexities of these
AI systems in terms of fairness, accountability, and transparency.
Additionally, it encourages interdisciplinary collaboration between
fields like HCI, psychology, social studies, and the arts to enrich
the understanding of AI's societal and cultural impacts.

Call for Papers:

*** Apologies for cross postings ***

*GENERAL Workshop @CHITALY 2023 - Call For Papers - *** DEADLINE June,
23 ***
----------------------------------------------------------------------
1st International Workshop on GENerative, Explainable and Reasonable
Artificial Learning

co-located with the CHITALY 2023, Italy

Web: https://bit.ly/generalworkshop2023
Submission site: https://easychair.org/my/conference?conf=general23

For any information: federico.torrielli at unito.it

=========
ABSTRACT
=========

The GENERAL workshop explores advances in General and Generative
Artificial Intelligence (GGAI), including breakthroughs in areas like
natural language processing (NLP) and computer vision (CV). It
emphasizes the emerging capabilities of Large Language Models (LLMs)
and Latent Diffusion Models (LDMs) and promotes Human-Centered AIs
with applications like ChatGPT and Midjourney. The workshop delves
into generating human-like content across text and images,
highlighting the creative, coherent, and unexpected properties of
these AI models. A key aspect is AI explainability, focusing on
understanding, explaining, and controlling the complexities of these
AI systems in terms of fairness, accountability, and transparency.
Additionally, it encourages interdisciplinary collaboration between
fields like HCI, psychology, social studies, and the arts to enrich
the understanding of AI's societal and cultural impacts.

======
TOPICS
======
Topics of interest include but are not limited to:

∑ GENERATIVE AI
– Users perceptions of images, texts and sounds generated by
Generative AIs
– Machine Psychology
– AI Assistants, Chatbots and Virtual Agents
– Emerging properties of human-like intelligence in Large Language
Models (LLMs) and Latent Diffusion Models (LDMs)
– Interfaces and techniques for interacting with Generative AIs
– User studies on systems leveraging Generative AI

∑ AI EXPLAINABILITY TRANSPARENCY AND ACCOUNTABILITY
– AI explainability, transparency, and accountability in large-scale
models
– Human-machine cooperation

∑ ETHICS IN GENERATIVE AI
– Ethical issues in Generative AI
– Consequences of Generative AIs on individuals and societies
– Safety and control mechanisms for large language models: analyzing
and mitigating harms from generative AI like misinformation, biases,
or synthetic media

∑ INTERDISCIPLINARY RESEARCH AND AI COMMUNICATION
– Emerging applications of AI and interdisciplinary research
– Communicating the potential of AI to the general public and
fostering public understanding.

============
SUBMISSIONS
============
We accept two kinds of submissions:

(A) Regular papers (up to 12 pages, including references)
(B) Position Papers, Ongoing projects and Demos (5-8 pages +
references)

Submission site: https://easychair.org/my/conference?conf=general23

All submitted papers will be evaluated by two members of the program
committee, based on originality, significance, relevance, and
technical quality. Note that the references do not count toward page
limits. Submissions should be single-blinded, i.e. authors’ names
should be included in the submissions.

We aim to publish all accepted papers in CEUR WS Proceedings, as a
joint volume. At least one author of each accepted paper must register
for the workshop.

================
IMPORTANT DATES
================
Early submissions are strongly encouraged. We adopt a rolling review
system: early submissions will be immediately reviewed and the
notification will be sent out approximately two weeks after the
submission.

* Paper submissionfinal deadline: June 23, 2023
* Notifications to authors: July 14, 2023
* Camera-ready version deadline: July 21, 2023.

=============
ORGANIZATION
=============
Federico Torrielli
University of Torino, Italy

Amon Rapp
University of Torino, Italy

Luigi Di Caro
University of Torino, Italy



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