======================================================================
= NeHuAI-2020
= 1st International Workshop on New Foundations for Human-Centered AI
= June 9, Santiago de Compostela, Spain (Part of ECAI-2020)
======================================================================
* Submission deadline extended to March 10 (strict) *
SYNOPSIS
--------
In June 2018, the European Commission has appointed a "AI High Level
Expert Group" (AI-HLEG) to support the implementation of the European
Strategy on Artificial Intelligence. One of the first results of the
AI-HLEG has been to deliver ethics guidelines on Artificial Intelligence
(https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines).
These guidelines put forward a human-centered approach to AI, and list
seven key requirements that human-centered, trustworthy AI systems
should meet, summarized by the following headers:
1. Human agency and oversight
2. Technical robustness and safety
3. Privacy and data governance
4. Transparency
5. Diversity, non-discrimination and fairness
6. Societal and environmental wellbeing
7. Accountability
Many of today's most popular AI methods, however, fail to meet these
guidelines: making them compliant is a scientific endeavor that is as
crucial as it is challenging and stimulating. Systems based on deep
learning are a case in point: while these systems often provide
impressive results, their ability to _explain_ these results to the user
is very limited, challenging requirements 4 and 7; in most cases we lack
ways to formally _verify_ their correctness and assess their boundary
conditions, challenging requirement 2; and we don't yet have methods to
allow humans to _collaboratively_ influence or question their decisions,
challenging requirement 1. Similar criticalities are present in many
other popular AI methods.
This full day workshop will collectively address the fundamental
questions of what are the scientific and technological gaps that we have
to fill in order to make AI systems _human-centered_ in terms of the
above guidelines.
PAPER SUBMISSION
----------------
Contributions are seeked on new foundations for building Human-Centered
AI systems, able to comply with AI-HLEG recommendations. Contributions
are seeked in the form of full papers (max 7 pages plus references)
presenting mature results, or position papers and reports of relevant
ongoing work (max 4 pages including references). More specific topics
include, but are not limited to:
- Explainable AI
- Verifiable AI
- Technical robustness and safety of AI systems
- Collaboration between humans and AI systems
- Integrating model-based and data-driven AI
- Integrating symbolic- and sub-symbolic AI
- Mixed initiative AI-Human systems
- Proactive AI systems in human environments
- Understanding and naturally interacting with humans
- Understanding and interaction in complex social settings
- Reflexivity and expectation managament
- Integrating Learning, Reasoning and Acting in AI systems
- Integrating human and robot cognition
Papers should be formatted according to the ECAI2020 formatting style,
available at the ECAI2020 website (ecai2020.eu). Submissions are not
anonymous. Accepted papers will be made available on the workshop site,
and must be presented at the workshop. There will be no official
proceedings, but we will consider editing a special issue including
extended versions of the presented papers.
Submit your paper by March 10 (extended deadline, strict) via Easychair:
https://easychair.org/conferences/?conf=nehuai2020
ORGANIZERS
----------
Alessandro Saffiotti (Orebro University, Sweden)
Luciano Serafini (Fondazione Bruno Kessler, Trento, Italy)
Paul Lukowicz (DFKI, Kaiserslautern, Germany)
SUPPORTING ORGANIZATIONS
------------------------
This worskhop is jointly organized by AI4EU (ai4eu.eu), the EU landmark
project to develop a European AI on-demand platform and ecosystem; and
by Humane-AI (humane-ai.eu), the EU FET preparatory action devoted to
designing a European research agenda for Human Centered AI.
MORE INFORMATION
----------------
http://nehuai2020.aass.oru.se/
======================================================================
Apologies if you receive multiple copies of this call due to cross-posting,
please help to distribute among possible interested contributors.
CALL FOR TUTORIALS:
10th IEEE International Conference on Development and Learning (ICDL)
7th-10th September 2020, Valparaiso, Chile
Web page: https://cdstc.gitlab.io/icdl-2020/
An IEEE Computational Society-sponsored conference
==== Important Dates ====
Tutorial Proposals Open: 15th February 2020
Tutorial Proposals Deadline: 30h April 2020
Tutorial Proposals Notification: 15th May 2020
==== Overview ====
We invite experts in different areas to organize a tutorial. The goal of
tutorials is to provide insights into specific topics through hands-on
training and interactive experiences or in-depth state of the art review.
Tutorial organizers have several responsibilities, including activities
scheduling, publicizing and providing the content on time. ICDL will
support the organization with rooms, audio-visual equipment and coffee
breaks.
==== Scope and Topics ====
The main list of topics of interest includes, but not limited to:
- principles and theories of development and learning;
- development of skills in biological systems and robots;
- nature vs nurture, developmental stages;
- models on the contributions of interaction to learning;
- verbal, non-verbal and multi-modal interaction;
- models on active learning;
- architectures for lifelong learning;
- emergence of body and affordance perception;
- analysis and modelling of human motion and state;
- models for prediction, planning and problem solving;
- models of human-human and human-robot interaction;
- emergence of verbal and non-verbal communication;
- epistemological foundations and philosophical issues;
- robot prototyping of human and animal skills;
- ethics and trust in computational intelligence and robotics;
- social learning in humans, animals, and robots.
==== Submission format ====
Proposals should be maximum of two pages long following the standard IEEE
conference style. Proposals should be submitted in PDF format by email to
icdl2020(a)ac3e.cl with subject “[Tutorials]”.
Proposals should specify the following:
Title
Organizers
Duration (half-day or full-day)
A brief description of the topics to be covered
Tentative program
Target audience and interested groups
Website
Any logistic requirements such as poster stands, computers, projector, etc.
For more information about the conference, travel grants, social events,
etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/
==== Organizing committee ====
General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar
Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar
Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith
Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie
Nagai, and Emre Ugur
Publication Chairs: Pablo Barros, and Haian Wu
Tutorials and Workshops Chair: Miguel Solis
Travel and Registration Awards Chair: Francisco Cruz
Local chairs: Mauricio Araya
Webpage Chairs: Cristóbal Nettle, and Patricio Castillo
Graphics: Camila Angel Alfaro
Best regards from the organizing committee,
======================================================================
= NeHuAI-2020
= 1st International Workshop on New Foundations for Human-Centered AI
= June 9, Santiago de Compostela, Spain (Part of ECAI-2020)
= http://nehuai2020.aass.oru.se/
======================================================================
SYNOPSIS
--------
In June 2018, the European Commission has appointed a "AI High Level
Expert Group" (AI-HLEG) to support the implementation of the European
Strategy on Artificial Intelligence. One of the first results of the
AI-HLEG has been to deliver ethics guidelines on Artificial Intelligence
(https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines).
These guidelines put forward a human-centered approach to AI, and list
seven key requirements that human-centered, trustworthy AI systems
should meet, summarized by the following headers:
1. Human agency and oversight
2. Technical robustness and safety
3. Privacy and data governance
4. Transparency
5. Diversity, non-discrimination and fairness
6. Societal and environmental wellbeing
7. Accountability
Many of today's most popular AI methods, however, fail to meet these
guidelines: making them compliant is a scientific endeavor that is as
crucial as it is challenging and stimulating. Systems based on deep
learning are a case in point: while these systems often provide
impressive results, their ability to _explain_ these results to the user
is very limited, challenging requirements 4 and 7; in most cases we lack
ways to formally _verify_ their correctness and assess their boundary
conditions, challenging requirement 2; and we don't yet have methods to
allow humans to _collaboratively_ influence or question their decisions,
challenging requirement 1. Similar criticalities are present in many
other popular AI methods.
This full day workshop will collectively address the fundamental
questions of what are the scientific and technological gaps that we have
to fill in order to make AI systems _human-centered_ in terms of the
above guidelines.
PAPER SUBMISSION
----------------
Contributions are seeked on new foundations for building Human-Centered
AI systems, able to comply with AI-HLEG recommendations. Contributions
are seeked in the form of full papers (max 7 pages plus references)
presenting mature results, or position papers and reports of relevant
ongoing work (max 4 pages including references). More specific topics
include, but are not limited to:
- Explainable AI
- Verifiable AI
- Technical robustness and safety of AI systems
- Collaboration between humans and AI systems
- Integrating model-based and data-driven AI
- Integrating symbolic- and sub-symbolic AI
- Mixed initiative AI-Human systems
- Proactive AI systems in human environments
- Understanding and naturally interacting with humans
- Understanding and interaction in complex social settings
- Reflexivity and expectation managament
- Integrating Learning, Reasoning and Acting in AI systems
Papers should be formatted according to the ECAI2020 formatting style,
available at the ECAI2020 website (ecai2020.eu). Submissions are not
anonymous.
Submit your paper by February 25 via Easychair here:
https://easychair.org/conferences/?conf=nehuai2020
ORGANIZERS
----------
- Alessandro Saffiotti (Orebro University, Sweden)
- Luciano Serafini (Fondazione Bruno Kessler, Trento, Italy)
- Paul Lukowicz (DFKI, Kaiserslautern, Germany)
This worskhop is jointly organized by AI4EU (ai4eu.eu), the EU landmark
project to develop a European AI on-demand platform and ecosystem; and
by Humane-AI (humane-ai.eu), the EU FET preparatory action devoted to
designing a European research agenda for Human Centered AI.
MORE INFORMATION
----------------
http://nehuai2020.aass.oru.se/
======================================================================
ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning
An Interdisciplinary Course: Big Data, Deep Learning & Artificial
Intelligence without Borders
ACDL 2020 – A Unique Experience:
Data Science, Machine Learning & Artificial Intelligence with the World’s
Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano
Certosa di Pontignano, Siena - Tuscany, Italy
July 13-17, 2020
https://acdl2020.icas.xyz acdl(a)icas.xyz
The past 2 editions have attracted more than 150 students per year and
world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie
Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato,
Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals.
More info about our current and past editions can be found here:
https://acdl2020.icas.xyz/past-editions/
ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-)
Early registration deadline: February 20, 2020
https://acdl2020.icas.xyz/registration/
CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
https://acdl2020.icas.xyz/registration/
Early registration deadline: February 20, 2020
Deadlines:
Oral/Poster Presentation Submission: February 20, 2020.
Notification of Decision for Oral/Poster Presentation: by March 12, 2020.
Early Registration: Until February 20, 2020.
Late Registration: After February 20, 2020.
LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.
* Igor Babuschkin, DeepMind - Google, London, UK
* Pierre Baldi, University of California Irvine, USA
* Michael Bronstein, Twitter & Imperial College London, UK
* Marco Gori, University of Siena, Italy
* Victor Lempitsky, Samsung AI Center, Moscow Skolkovo Institute of Science
and Technology, Russia
* Diederik P. Kingma, Google Brain, San Francisco, CA, USA
* Panos Pardalos, University of Florida, USA
* Daniela Rus, Computer Science and Artificial Intelligence Laboratory,
MIT, USA
* Mihaela van der Schaar, University of Cambridge, UK
More speakers coming soon!
Tutorial Speakers
* Chip Huyen, Stanford University, USA
4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research"
* Adam Paszke, University of Warsaw, Poland
4-hour tutorial on "PyTorch: A Modern Library for Machine Learning"
More tutorial speakers coming soon!
SCOPE:
The Advanced Course is not a summer school suited only for younger
scholars. Rather, a significant proportion of seasoned investigators are
regularly present among the attendees, often senior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.
Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.
The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Advanced
Course on Data Science and Machine Learning the experience of a lifetime.
8 ECTS POINTS:
Participants will be delivered a certificate of attendance indicating the
number of hours of lectures (36-40 hours of lectures). In according to the
academic system all PhD and master students attending to the summer school
will may get 8 ECTS points.
A formal certificate of successful participation in the event will be
delivered indicating the number of hours of lectures.
VENUE & ACCOMMODATION:
The venue of ACDL 2020 will be The Certosa di Pontignano — Siena
Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info(a)lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
A few Kilometres from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.
https://acdl2020.icas.xyz/venue/
ACCOMMODATION:
https://acdl2020.icas.xyz/accommodation/
REGISTRATION:
https://acdl2020.icas.xyz/registration/
We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the
registration deadline!
Anyone interested in participating in ACDL 2020 should register as soon as
possible!
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
possible!
All course participants should/must stay at the Certosa di Pontignano.
See you in Tuscany next July!
ACDL 2020 Organizing Committee.
acdl(a)icas.xyz
https://acdl2020.icas.xyzhttps://www.facebook.com/groups/204310640474650/https://twitter.com/TaoSciences
* Apologies for multiple copies. Please forward to anybody who might be
interested *
https://www.lacoro.org
We are excited to announce our first Latin American Summer School on
Cognitive Robotics (LACORO), which aims at making cutting-edge knowledge
on Artificial Intelligence for Robotics Applications accessible to
everyone, especially in the Southern Hemisphere.
Our aims are:
- to build a sustainable community of students and researchers in the
area of Artificial Intelligence for Robotics, particularly Cognitive
Inspired Aspects of AI.
- to make cutting-edge scientific topics accessible to everyone.
- to overcome the complexity of a multi-cultural and interdisciplinary
learning context.
**Applications period is now open**
Format: We will organize the Summer School in Latin America biennially.
LACORO will include cutting-edge lectures and tutorials on Artificial
Intelligence and Robotics but also aspects of Human Cognition. Moreover,
we will host a hackathon where attendees can acquire hands-on experience
on some of the topics of the Summer School.
Date and Location: September 3rd to September 5th, 2020 at the
Universidad Técnica Federico Santa María, Valparaíso, Chile.
Applications: Please visit our website, where you can find more
information regarding costs, travel, lodging, along with an application
form. Pre-registration is required because there will be a limited
number of participants.
If you have any questions about the school or the application process,
please contact the organizing committee: lacoro(a)innovacionyrobotica.com
Best regards from the organizing committee,
--
Nicolás Navarro-Guerrero
Assistant Professor
Department of Engineering, and
School of Culture and Society
Aarhus University, Denmark
E-mail: nng(a)eng.au.dk
https://nicolas-navarro-guerrero.github.io/
Aarhus University
Finlandsgade 22, building 5125
8200 Aarhus N
Denmark
Tel.: +45 8715 0000
eng(a)au.dk
www.eng.au.dk/en/
The Department of Informatics, Knowledge Technology Institute invites
applications for a
RESEARCH ASSOCIATE
Knowledge Technology for Intelligent Systems
- SALARY LEVEL 13 TV-L -
As a University of Excellence, the University of Hamburg is one of the
strongest research universities in Germany. As a flagship university in
the greater Hamburg region, it nurtures innovative, cooperative contacts
to partners within and outside academia. It also provides and promotes
sustainable education, knowledge, and knowledge exchange locally,
nationally, and internationally. The position in accordance with Section
28 subsection 1 of the Hamburg higher education act (Hamburgisches
Hochschulgesetz, HmbHG) commences on 1 March 2020 or as soon as
possible.
This is a fixed term contract in accordance with Section 2 of the
academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz,
WissZeitVG). The initial fixed term is three years. The position calls
for 100% of standard work hours per week.
Responsibilities:
Research associates will be expected primarily to teach and conduct
research. The research associate will also have the opportunity to
pursue further academic qualifications, in particular a doctoral
dissertation. At least one-third of set working hours will be made
available for the research associate´s own academic work.
Specific Duties:
The successful candidate will contribute to teaching related to the
Knowledge Technology Institute (4hrs/teaching week), in particular to
Data-driven Intelligent Systems, but also to Research Methods or
Bio-inspired Artificial Intelligence. Furthermore, the candidate is
expected to conduct research in the area of Knowledge Technology and
Intelligent Systems, in particular Neural Networks and Human-Robot
Interaction. PhD candidates have the opportunity to advance their
academic education through the completion of a doctoral dissertation.
Requirements:
A university degree in a relevant field. Academic degree in computer
science qualifying the post holder to carry out the above-mentioned
duties. In particular, an MSc or equivalent in the area of Intelligent
Systems is desired. Your demonstrated research interests should be in
the areas of Knowledge Technology and Intelligent Systems (e.g. Neural
Networks, Intelligent Robotics, Natural Language Processing, Vision, or
Hybrid Knowledge Representation etc). Publication experience is
desirable. We are looking for very good communication skills and
evidence for teamwork.
A very good command of both German and English is a requirement for
teaching and research.
The Free and Hanseatic City of Hamburg promotes equal opportunity. As
women are currently underrepresented in this job category at Universit„t
Hamburg according to the evaluation conducted under the Hamburg act on
gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), we
encourage women to apply for this position. Equally qualified and
suitable female applicants will receive preference.
Qualified disabled candidates or applicants with equivalent status
receive preference in the application process.
For further information, please contact Prof. Dr. Stefan Wermter
(wermter(a)informatik.uni-hamburg.de) or consult our website at
https://www.informatik.uni-hamburg.de/wtm/.
Applications should include a cover letter, a tabular curriculum vitae,
language certificates German and English, and copies of degree
certificate(s). Please send applications by 15 February 2020 or before
the position gets filled to: Ms Katja Koesters
(katja.koesters(a)informatik.uni-hamburg.de) in a single pdf document .
Please do not submit original documents as we are not able to return
them. Any documents sub-mitted will be destroyed after the application
process has concluded.
***********************************************
Professor Dr. Stefan Wermter
Director of Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Email: wermter AT informatik.uni-hamburg.de
https://www.informatik.uni-hamburg.de/WTM/
***********************************************