MTI Journal Special Issue "AI for (and by) the People"

Currently open for submission; deadline is September 15th

This Special Issue aims to explore the opportunities and challenges of
designing and developing machine learning (ML) and artificial intelligence
(AI) for people.

Increasingly, AI and ML technologies power people-facing interactive and
autonomous systems, for example, in healthcare, finance, entertainment,
security, and other domains. Hopefully, these AI technologies will imbue
such systems with more intelligent behavior and help to better serve the
needs and goals of the stakeholders. Ultimately, the creation and use of
such AI/ML-based systems is a people’s problem, motivating the need to
study and design the interactions between ML and its stakeholders from a
human-centered point of view. Human-centered machine learning (HCML) is an
emerging interdisciplinary research area that shares this view and that
considers human goals and behavior during the development of AI and
ML-based systems.

Although the deadline for submission of manuscripts to the Special Issue is 15
September 2021, papers will be reviewed and published as they are received.
Please direct any questions to Alison, Gagan, and Gonzalo at
[log in to unmask]

## Submission Topics ##

We encourage authors to submit original works that are novel or extend
existing work, survey and synthesize related fields, articulate a position,
share recent case studies, or present thought-provoking design fictions
about topics including but not limited to:

• Development and evaluation of fair AI/ML models;

• Explanations and transparency of algorithmic decisions and models;

• Usability challenges and evaluation methods for human-centered AI/ML
systems;

• Interactive machine learning techniques, algorithms, and interfaces;

• Methods for stakeholder participation in AI/ML design;

• Interactive machine teaching methods and systems;

• Algorithms and interfaces for supporting human–AI/ML collaboration and
augmenting human intelligence (e.g., in decision making);

• Design guidelines for human-in-the-loop and machine-in-the-loop systems;

• Case studies of real-world applications of human-centered AI/ML in
industry;

• Legal, ethical, and policy issues to consider when deploying
human-centered AI/ML systems.

## Workshop and Networking ##

To expand the reach of the journal and support networking, we intend to
host a virtual workshop open to the human-centered AI/ML community for
journal authors to present their work and for further discussion centered
around these topics. We will strive for a diverse set of attendees from
both the HCI and AI/ML sides of the community. We will also post journal
summaries on Medium to further market papers about these important topics.

## Guest Editors ##

Alison Smith-Renner, Dataminr, USA

Gonzalo Ramos, Microsoft Research, USA

Gagan Bansal, University of Washington, USA

## Journal Information ##

MTI is an open access journal (indexed in Scopus). All submissions will be
subject to peer review prior to publication online.

For more information about the Special Issue, please see:
https://www.mdpi.com/journal/mti/special_issues/AI_People

For information on manuscript preparation and related matters, please see
the instructions for authors: https://www.mdpi.com/journal/mti/instructions

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