[SystemSafety] Fwd: WAISE 2018 - CfP - Artificial Intelligence Safety Engineering

Thu Apr 5 16:18:18 CEST 2018

All,

If you are working/interested in Safety and Artificial Intelligence please
consider contributing to WAISE 2018 (1st Int'l Workshop on Artificial
Intelligence Safety Engineering), Sept 18th, Vasteras, Sweden.

Paper submission: *May 22nd*.

Below/attached the complete CfP.

Kind regards,
José

---------- Forwarded message ---------
From: WAISE 2018 <waise2018 at easychair.org>
Date: Thu, 5 Apr 2018, 07:01
Subject: WAISE 2018 - CfP - Artificial Intelligence Safety Engineering
To: Jose M. Faria <jmf at safeperspective.com>

Dear Jose M. Faria,

You have kindly accepted to serve on the Programme Committee (PC) of WAISE
2018, the First International Workshop on Artificial Intelligence Safety
Engineering.

We would very much appreciate if you could circulate the Call for
Contributions/Papers among your colleagues or relevant mailing lists.
Please find it enclosed and copied here below for your convenience. If you
have any questions, do not hesitate to contact Huascar Espinoza <
huascar.espinoza at cea.fr>

We look forward to working with you to make WAISE 2018 a great success.

Best regards,

ORGANIZATION COMMITTEE
Huascar Espinoza, CEA LIST, France
Orlando Avila-García, Atos, Spain
Rob Alexander, University of York, UK
Andreas Theodorou, University of Bath, UK

STEERING COMMITTEE
Stuart Russell, UC Berkeley, USA
Raja Chatila, ISIR - Sorbonne University, France
Roman V. Yampolskiy, University of Louisville, USA
Nozha Boujemaa, DATAIA Institute & INRIA, France
Mark Nitzberg, Center for Human-Compatible AI, USA
Philip Koopman, Carnegie Mellon University, USA

=========================================================================
Call for Contributions
First International Workshop on Artificial Intelligence Safety Engineering
(WAISE 2018)
In conjunction with SAFECOMP 2018
Västerås, Sweden, Sept. 18, 2018
http://www.waise2018.com
=========================================================================

SCOPE
---------
Research, engineering and regulatory frameworks are needed to achieve the
full potential of *Artificial Intelligence (AI)* because they will
guarantee a standard level of safety and settle issues such as compliance
with ethical standards and liability for accidents involving, for example,
autonomous cars. Designing AI-based systems for operation in proximity to
and/or in collaboration with humans implies that current safety engineering
and legal mechanisms need to be revisited to ensure that individuals –and
their properties– are not harmed and that the desired benefits outweigh the
potential unintended consequences.

The different approaches taken to AI safety go from pure theoretical (moral
philosophy or ethics) to pure practical (engineering) planes. It appears as
essential to combine philosophy and theoretical science with applied
science and engineering in order to create safe machines. This should
become an interdisciplinary approach covering technical (engineering)
aspects of how to actually create, test, deploy, operate and evolve safe
AI-based systems, as well as broader strategic, ethical and policy issues.

Increasing levels of AI in “smart” sensory-motor loops allow intelligent
systems to perform in increasingly dynamic uncertain complex environments
with increasing degrees of autonomy, with human being progressively ruled
out from the control loop. Adaptation to the environment is being achieved
by Machine Learning (ML) methods rather than more traditional engineering
approaches, such as system modelling and programming. Recently, certain ML
methods are proving themselves specially promising, such as deep learning,
reinforcement learning and their combination. However, the inscrutability
or opaqueness of the statistical models for perception and decision-making
we build through them pose yet another challenge. Moreover, the combination
of autonomy and inscrutability in these AI-based systems is particularly
challenging in safety-critical applications, such as autonomous vehicles,
personal care or assistive robots and collaborative industrial robots.

The WAISE workshop is intended to explore new ideas on safety engineering
for AI-based systems, ethically aligned design, regulation and standards
for AI-based systems. In particular, WAISE will provide a forum for
thematic presentations and in-depth discussions about safe AI
architectures, bounded morality, ML safety, safe human-machine interaction
and safety considerations in automated decision making systems, in a way
that makes AI-based systems more trustworthy, accountable and ethically
aligned.

WAISE aims at bringing together experts, researchers, and practitioners,
from diverse communities, such as AI, safety engineering, ethics,
standardization and certification, robotics, cyber-physical systems,
safety-critical systems, and application domain communities such as
automotive, healthcare, manufacturing, agriculture, aerospace, critical
infrastructures, and retail.

TOPICS
---------
Contributions are sought in (but are not limited to) the following topics:
* Avoiding negative side effects
* Safety in AI-based system architectures: safety by design
* Runtime monitoring and (self-)adaptation for AI safety
* Safe machine learning and meta-learning
* Safety constraints and rules in decision making systems
* Continuous Verification and Validation (V&V) of safety properties
* AI-based system predictability
* Model-based engineering approaches to AI safety
* Ethically aligned design of AI-based systems
* Machine-readable representations of ethical principles and rules
* The values alignment problem
* The goals alignment problem
* Accountability, responsibility and liability of AI-based systems
* Uncertainty in AI
* AI safety risk assessment and reduction
* Loss of values and the catastrophic forgetting problem
* Confidence, self-esteem and the distributional shift problem
* Reward hacking and training corruption
* Weaponization of AI-based systems
* Self-explanation, self-criticism and the transparency problem
* Simulation for safe exploration and training
* Human-machine interaction safety
* AI applied to safety engineering
* Zero-sum and the trolley problem
* Regulating AI-based systems: safety standards and certification
* Human-in-the-loop and the scalable oversight problem
* Algorithmic bias and AI discrimination
* AI safety education and awareness
* Experiences in AI-based safety-critical systems, including industrial
processes, health, automotive systems, robotics, critical infrastructures,
among others

IMPORTANT DATES
---------
* Full paper submission: May 22, 2018
* Notification of acceptance: June 4, 2018
* Camera-ready submission: June 18, 2018

SUBMISSION AND SELECTION
---------
You are invited to submit short position papers (max. 5 pages), full
scientific contributions (max. 12 pages) or proposals of technical
talk/sessions (short abstracts).
Manuscripts must be submitted as PDF files via EasyChair online submission
system:
https://easychair.org/conferences/?conf=waise2018

Workshop proceedings will be provided as complementary book to the SAFECOMP
Proceedings in Springer LNCS. Please keep your paper format according to
SPRINGER LNCS style guidelines:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

Papers will be peer-reviewed by the Program Committee (minimum 3 reviewers
per paper).
For any question, please send an email to: waise2018 at easychair.org

COMMITTEES
---------
Organization Committee
* Huascar Espinoza, CEA LIST, France
* Orlando Avila-García, Atos, Spain
* Rob Alexander, University of York, UK
* Andreas Theodorou, University of Bath, UK

Steering Committee
* Stuart Russell, UC Berkeley, USA
* Raja Chatila, ISIR - Sorbonne University, France
* Roman V. Yampolskiy, University of Louisville, USA
* Nozha Boujemaa, DATAIA Institute & INRIA, France
* Mark Nitzberg, Center for Human-Compatible AI, USA
* Philip Koopman, Carnegie Mellon University, USA

Programme Committee (look at the website: http://www.waise2018.com)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.techfak.uni-bielefeld.de/mailman/private/systemsafety/attachments/20180405/e8ed60bf/attachment.html>