[SystemSafety] Call for Papers --- First International Workshop on Artificial Intelligence Safety Engineering (WAISE 2018)

[Rob Alexander]

Hi all,

CfP below for the first International Workshop on Artificial
Intelligence Safety Engineering (WAISE), which will be co-located with
SAFECOMP 2018 in Sweden. (I am one of the organisers).

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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
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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)



Rob

-- 
Dr Rob Alexander
Lecturer in High Integrity Systems Engineering
Department of Computer Science
The University of York, Deramore Lane, York, YO10 5GH, UK
Tel: 01904 325474  Fax: 01904 325599  http://www.cs.york.ac.uk/~rda/

If we can disclaim it, we do --- http://www.york.ac.uk/docs/disclaimer/email.htm