HHAI'22 New Conf. on Human-AI interaction and collaboration
Maria Perez
Call for papers Hybrid Human-Artificial Intelligence (HHAI)
June 13-17 2022, Amsterdam
Please find the most up to date information in our website: https://www.hhai-conference.org/
Hybrid Human-Artificial Intelligence (HHAI) is the first international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations. This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we need collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this first international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence.
We welcome research on the different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive.
Human-AI interaction and collaboration
Adaptive human-AI co-learning and co-creation
Learning, reasoning and planning with humans and machines in the loop
User modeling and personalisation
Integration of learning and reasoning
Transparent, explainable and accountable AI
Fair, ethical, responsible and trustworthy AI
Technical and critical perspectives on human-AI interaction
Meaningful human control over AI systems
Values and politics in the design and use of human-AI interaction
Law and policy challenges around human-centered AI systems
Societal awareness of AI
Multimodal machine perception of real world settings
Social signal processing
We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models.
This first edition of Hybrid Human-Artificial Intelligence is organized by the Hybrid Intelligence Centre (https://www.hybrid-intelligence-centre.nl/ ) and the Humane-AI European Network (https://www.humane-ai.eu/) .
Paper typesIn this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers:
Full papers present original, impactful work (12 pages excluding references)
Working papers present work in progress or new and visionary ideas (8 pages excluding references)
Extended abstracts present existing, pre-published work (4 pages excluding references)
Accepted full papers will be published in the Proceedings of the First International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press as Open Access publications. Abstracts of working papers and existing work can be included in these proceedings, unless the authors request the abstracts to remain unpublished. Accepted papers will be presented in the main track of the conference. We will also give authors the possibility of presenting their accepted contributions in the poster and demo sessions of the conference.
We aim to invite a selected subset of papers to be submitted to a journal special issue on the topic of hybrid human-artificial intelligence. The journal is yet to be confirmed.
LocationThis will be an in-person, single-track conference, held in Amsterdam, the Netherlands.
Pending local and global Covid measures at the time of the conference, we will provide options to attend virtually. The conference will be hosted at the campus of the Vrije Universiteit Amsterdam.
Reviewing process & Submission guidelinesReviewing will be single anonymized, as we are welcoming existing work and references to previous work from the submitting authors. Submissions of full and working papers should be original work and ideas without substantial overlap with pre-published papers. Extended abstracts can present previously published work.
On acceptance, at least 1 author should attend the conference.
All submissions should adhere to IOS formatting guidelines. A template for LateX and Word can be found at https://www.iospress.com/book-article-instructions. Papers should be written in English.
Work should be submitted in .pdf format via easychair: https://easychair.org/conferences/?conf=hhai2022
Important datesAbstract submission: February 25th 2022
Paper submission: March 4th 2022
Author notification: April 18 2022
Camera-ready submission: May 2nd 2022
Main conference: 13-17 June 2022
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).
KeynotesKeynotes from Wendy Mackay (Professor of Human-Computer Interaction at Inria, Paris-Saclay) and Joanna Bryson (Professor of Ethics and Technology at the Hertie School, Berlin) have been confirmed. More information on keynotes will be posted at our website.
Contact informationKeep an eye out on our website for more information: https://www.hhai-conference.org/
General chair: Stefan Schlobach (VU)
Program chairs: Myrthe Tielman (TUDelft) & Maria Perez-Ortiz (UCL)
For questions, you can reach us at: hhai...@easychair.org
Steering committee:
Prof. Catholijn Jonker, TU Delft
Prof. Frank van Harmelen, Vrije Universiteit Amsterdam
Prof. James Crowley, Institut Polytechnique de Grenoble
Prof. John Shawe-Taylor, University College London, UNESCO Chair in AI
Prof. Paul Lukowicz, German Research Center for Artificial Intelligence
Estevam Hruschka
- Workshop Paper Due Date
- submission via OpenReview: February 28, 2022
- submission via ARR
- final ARR deadline: January 15, 2022
- commitment deadline: March 14, 2022
- Notification of Acceptance: March 26, 2022
- Camera-ready papers due: April 10, 2022
- Workshop On Deriving Insights From User-Generated Text @ACL2022: May 27, 2022
Workshop Overview
Every day, millions of people use Web platforms and online services, generating massive amounts of data about products and services. This data can be structured such as in tables; semi-structured such as in call-center records and dialogues; or unstructured such as in customer reviews and forums. The goal of this workshop is to advance research over user-generated text.
Recent progress in natural language processing, machine learning, knowledge bases and database management have demonstrated promising results and far-reaching uses of text. However, there is tremendous untapped potential in exploring and exploiting advanced AI/ML/NLP techniques on user-generated text, which is rich in user insights and experiences.
The goal of this workshop is to bring together researchers and practitioners in this area, to clarify impactful research problems, share findings from adaptation of existing approaches to user-generated data, and generate new ideas for future research. We seek papers that address challenges in harnessing user-generated data.
Confirmed Speaker (alphabetically ordered list):
Nina Balcan – Carnegie Mellon University
Carlos Guestrin – Stanford University
Mirella Lapata – University of Edinburgh
Rada Mihalcea – University of Michigan, Ann Arbor
Call For Submissions
We invite submissions of long and short papers on original and unpublished work that address challenges around harnessing textual user-generated data, such as that found in online reviews, web forums, and crowdsourced data. The topics include but are not limited to:
* Information extraction from user-generated text
* Domain adaptation to user-generated text
* Data cleaning
* Entity matching in user-generated text
* Semantic Search
* Robustness to noise
* Summarization of user-generated text
* Language generation
* (Commonsense) knowledge bases from user-generated text
* Information Seeking QA/Dialogue
WIT is using a hybrid submission process, Authors can submit their papers using the OpenReview platform. Alternatively, authors can also commit papers and reviews from ARR. We allow parallel commitment to the NAACL 2022 conference and our workshop, with the requirement that if the paper is accepted at NAACL 2022, it will be withdrawn from archival publication at the workshop. We ask the authors to notify WIT if they have also committed to NAACL or other workshops.
- Workshop Paper Due Date
- submission via OpenReview: February 28, 2022
- submission via ARR
- final ARR deadline: January 15, 2022
- commitment deadline: March 14, 2022
- Notification of Acceptance: March 26, 2022
- Camera-ready papers due: April 10, 2022
- Workshop On Deriving Insights From User-Generated Text @ACL2022: May 27, 2022
Organizers
Estevam Hruschka, Megagon Labs (est...@megagon.ai)
Tom Mitchell, Carnegie Mellon University, (tom.mi...@cmu.edu)
Marko Grobelnik, Jozef Stefan Institute (JSI), (marko.g...@ijs.si)
Dunja Mladenic, Jozef Stefan Institute (JSI), (dunja.m...@ijs.si)
Nikita Bhutani, Megagon Labs (nik...@megagon.ai)
Contact
If you have any questions or inquiries regarding the workshop or need further information, please do not hesitate to send an email to w...@megagon.ai or access the workshop website: https://megagon.ai/2nd-workshop-on-deriving-insights-from-user-generated-text-wit/
Program Committee
Sara Abdali – UC Riverside
Shabnam Behzad – Georgetown University
Arthur Brazinskas – University of Edinburgh
Brett Zhiyuan Chen – Google
Maisa Duarte – Bradesco Bank – Brazil
Nelson Ebecken – COPPE/UFRJ Federal University of Rio de Janeiro – Brazil
Jacob Eisenstein – Google
Joao Gama – University of Porto – Portugal
Tianyu Jiang – University of Utah
Hannah Kim – Megagon Labs
Aljaz Kosmerlj – Jozef Stefan Institute – Slovenia
Thom Lake – Indeed.com
Yutong Li – Apple
Jun Ma – Amazon
Vagelis Papalexakis – UC Riverside
Jing Qian – University of California Santa Barbara
Sajjadur Rahman – Megagon Labs
Yutong Shao – UC San Diego
Evan Shieh – Amazon
Nedelina Teneva – Amazon
Xiaolan Wang – Megagon Labs
Xinyi(Cindy) Wang – Carnegie Mellon University
Yusuke Watanabe – Amazon
Chris Welty – Google
Natasha Zhang Foutz – University of Virginia
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