The AI4HR&PES workshop aims to study how to address the challenges of the contemporary job market and human resources management by means of data-driven solutions that better enable the different actors to achieve their goals, including the job seekers, employers, HR agencies, policy makers, training facilities, government agencies, and more. The challenges for which data science can make a genuine difference are numerous. For example: Workers need better job recommendations and career advice. Employers need better HR and recruitment strategies, with due consideration of ethical constraints. Policy makers need to understand how to regulate the job market to ensure efficiency, fairness, and inclusion. And so on.
We invite contributions advancing the state-of-the-art on these topics, to be presented at the AI4HR&PES workshop which is to be held online during and as part of the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery from Data (ECML-PKDD), 18 – 22 September 2023, Torino,Italy.
Contributions are solicited on methods as well as systems, on theory as well as applications, from academia as well as industry and government agencies. While ethical issues may be a core focus of a contribution, we strongly encourage possible ethical benefits or concerns to be explicitly considered also in contributions where it is not the core focus.
AI4HR&PES is a half-day workshop, featuring:
All papers will be peer-reviewed, single-blinded. We solicit submissions of different types:
Authors should indicate in the submission form the type of their submission. For submission of type 1, the previously published paper may be submitted. The main criteria for acceptance of these submissions are fit to the workshop scope and impact. For submissions of types 2, 3, and 4, extended abstracts of up to 6 pages are solicited (excluding references and supplemental material), and formatted according to the standard Springer LNCS style. The main criteria for acceptance of these submissions are fit to the workshop scope, possible impact, and novelty. As the main purpose of the workshop is to stimulate discussions and interaction, maturity of the work will not be a criterion for acceptance, as long as the maturity is sufficient to stimulate a constructive discussion. All submissions must be in pdf format, written in English. Uploading submitted manuscripts to arXiv or to other preprint repositories is allowed (and even encouraged), and simultaneous submission to another conference or journal is permitted (subject to the constraints imposed by these venues).
By default, accepted contributions will be offered a short (~2min) spotlight presentation and a place in the poster session. Particularly thought-provoking contributions may be offered a longer presentation slot alongside a place in the poster session.
Accepted contributions will be posted on the workshop website (unless the authors opt out), but will not be published in a formal proceeding. Given enough interest by the workshop participants, we plan to organize a special issue of a leading journal. In that case, we will issue a public call for papers, and invite high quality contributions accepted at our workshop to submit extended versions.
For accepted contributions, at least one author must register for the conference and attend the workshop to present the work.
Submit via Microsoft CMT (track: “AI4HR&PES: International workshop on AI for Human Resources and Public Employment Services”): https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023