[agents] CFP: ACM Transactions on Internet Technology (TOIT) Theme Section onTrust and AI

[Jie Zhang]

ACM Transactions on Internet Technology (TOIT)

http://toit.acm.org/

Call for Papers for a Theme Section on

*Trust and AI*



*Theme Editors*

*Jie Zhang*

Nanyang Technological University

zhangj at ntu.edu.sg

http://www.ntu.edu.sg/home/zhangj/

*Jamal Bentahar*

Concordia University

bentahar at ciise.concordia.ca

https://users.encs.concordia.ca/~bentahar/

*Rino Falcone*

ISTC-CNR

rino.falcone at istc.cnr.it

http://www.istc.cnr.it/people/rino-falcone

*Timothy J. Norman*

University of Southampton

t.j.norman at soton.ac.uk

https://www.ecs.soton.ac.uk/people/tjn1f15

*Murat Şensoy*

Ozyegin University

murat.sensoy at ozyegin.edu.tr

https://faculty.ozyegin.edu.tr/muratsensoy/



Trust is critical in building effective AI systems. It characterizes the
elements that are essential in social reliability, whether this be in
human-agent interaction, or how autonomous agents make decisions about the
selection of partners and coordinate with them. Many computational and
theoretical trust models and approaches to reputation have been developed
using AI techniques over the past twenty years. However, some principal
issues are yet to be addressed, including bootstrapping; causes and
consequences of trust; trust propagation in heterogeneous systems where
agents may use different assessment procedures; group trust modelling and
assessment; trust enforcement; trust and risk analysis, etc.

Increasingly, there is also a need to understand how human users trust AI
systems that have been designed to act on their behalf. This trust can be
engendered through effective transparency and lack of bias, as well as
through successful attention to user needs.

The aim of this special section is to bring together world-leading research
on issues related to trust and artificial intelligence. We invite the
submission of novel research in multiagent trust modelling, assessment and
enforcement, as well as in how to engender trust in and transparency of AI
systems from a human perspective. The scope of the theme includes:

·         Trust in Multi-Agent Systems: socio-technical systems and
organizations; service-oriented architectures; social networks; and
adversarial environments

·         Trustworthy AI Systems: detecting and addressing bias and
improving fairness; trusting automation for competence; understanding and
modelling user requirements; improving transparency and explainability; and
accountability and norms

·          AI for combating misinformation: detecting and preventing
deception and fraud; intrusion resilience in trusted computing; online fact
checking and critical thinking; and detecting and preventing collusion

·          Modelling and Reasoning: game-theoretic models of trust;
socio-cognitive models of trust; logical representations of trust; norms
and accountability; reputation mechanisms; and risk-aware decision making

·         Real-world Applications: e-commerce; security; IoT; health;
advertising; and government.

*Deadlines*

Submissions: November 1, 2018

Preliminary decisions: January 15, 2019

Revisions: April 1, 2019

Final decisions: May 15, 2019

Final versions: June 15, 2019

Publication date: Fall 2019

*Submission*

To submit a paper, please follow the standard instructions:
http://toit.acm.org/submission.html



Please select “Theme Section: Trust and AI” in the Manuscript Central
website



Contact Email Address: trustai.toit at gmail.com



*ACM TOIT Editor-in-Chief*

*Munindar P. Singh*

Department of Computer Science, North

Carolina State University

mpsingh at acm.org
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