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 ---------------------------------------------------------------------------------------- To unsubscribe from CHI-ANNOUNCEMENTS send an email to: mailto:[log in to unmask] To manage your SIGCHI Mailing lists or read our polices see: https://sigchi.org/operations/listserv/ ----------------------------------------------------------------------------------------