[agents] CFP: ACM TOIT Theme Section on Trust and AI

[Jie Zhang]

Theme Section on Trust and AI
ACM Transactions on Internet Technology (TOIT)
https://toit.acm.org/pdf/ACM-ToIT-CfP-Trust.pdf

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;
- 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;
- accountability and norms

AI for combating misinformation:
- detecting and preventing deception and fraud;
- intrusion resilience in trusted computing;
- online fact checking and critical thinking;
- 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;
- risk-aware decision making


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


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 Sensoy
Ozyegin University
murat.sensoy at ozyegin.edu.tr
https://faculty.ozyegin.edu.tr/muratsensoy/


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
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