His research focuses on multi-modal learning, specifically advancing large vision-language models, embodied intelligence, and out-of-distribution detection. Xiang has published over 40 papers in top-tier venues, including CVPR, NeurIPS, ICML, AAAI, and ACM MM. He is the recipient of multiple awards, including the NTU Research Excellence Award and Best Student Paper at MIPR 2024, and serves as a reviewer for major AI conferences."

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we look into bias in AI-based recruitment tools, find out about a new image dataset for ethical AI benchmarking, dig into human-robot interactions and social robotics, and look back on another busy year in the world of AI. We've been meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the European Conference on Artificial Intelligence (ECAI-2025) . In the second interview of the series, we caught up with Frida Hartman to find out how her PhD is going so far, and plans for the next steps in her investigations. Frida, along with co-authors Mario Mirabile and Michele Dusi, was also the winner of the ECAI-2025 Diversity & Inclusion Competition, for work entitled .

In a new series of interviews, we're meeting some of the PhD students that were selected to take part in the Doctoral Consortium at the European Conference on Artificial Intelligence (ECAI 2025) . During the conference in Bologna, we caught up with Mario Mirabile who is studying for his PhD in trustworthy AI and multi-agent systems at the University of Santiago de Compostela and is a Research Fellow in human-AI interaction at the University of Bologna. Mario, along with co-authors Frida Hartman and Michele Dusi, was also the winner of the ECAI-2025 Diversity & Inclusion Competition, for work entitled . This award was presented at the closing ceremony of the conference. Could you start by giving us an introduction to the topic you are working on?

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, we hear from Flávia Carvalhido who is a PhD student at the University of Porto. We find out about her work on responsible multimodal AI, what inspired her to study AI, and how she found the Doctoral Consortium experience. My PhD programme is on Informatics Engineering in the Faculty of Engineering at the University of Porto, where I also got both my Bachelor's and Master's in the same field. My thesis research project is focused on responsible multimodal AI, titled "Stress Testing of Image-Text Multimodal Models in Medical Image Report Generation", supervised by Professor Henrique Lopes Cardoso and Professor Vítor Cerqueira and developed in the LIACC research laboratory.

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, we hear from Debalina Padariya and hear about her work on Privacy-Preserving Generative Models, why this is such an interesting area for study, the different projects she's been involved in so far during her PhD, and her experience at the Doctoral Consortium at AAAI 2025. I am currently pursuing a PhD at De Montfort University, UK, supported by the prestigious Alan Turing Institute and Accenture Strategic Partnership Program. My research primarily focuses on Privacy-Preserving Generative Models, while designing a framework to quantify the privacy/utility trade-offs in generative model-driven synthetic datasets. Although Synthetic Data Generation (SDG) is one of the emerging use cases of generative AI, potential privacy attacks associated with generative models emerge as critical issues.

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. In the latest interview, we hear from Joseph Marvin Imperial, who is focussed on aligning generative AI with technical standards for regulatory and operational compliance. Standards are documents created by industry and/or academic experts that have been recognized to ensure the quality, accuracy, and interoperability of systems and processes (aka "the best way of doing things"). You'll see standards in almost all sectors and domains, including the sciences, healthcare, education, finance, journalism, law, and engineering.

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. In the third of our interviews with the 2025 cohort, we heard from Tunazzina Islam who has recently completed her PhD in Computer Science at Purdue University, advised by Dr Dan Goldwasser. Her primary research interests lie in computational social science (CSS), natural language processing (NLP), and social media mining and analysis. We now live in a world where we can reach people directly through social media, without relying on traditional media such as television and radio.

We were also inspired by an invited talk from Professor Michael Wooldridge (University of Oxford) on "Writing for Research." He emphasized the importance of understanding what to say, creating a narrative flow, and the drafting process, all delivered with an engaging Q&A session. Michael Wooldridge giving his invited talk on "Writing for Research." Following this, we had a dynamic career panel, a cherished tradition of the doctoral consortium. The panel featured esteemed scholars such as Professor Ken Forbus (Northwestern University), Professor Kate Larson (University of Waterloo), Professor Peter Stone (University of Texas at Austin), and Professor Caren Han (The University of Melbourne). The discussion covered a range of topics, including common mistakes in early career presentations, transitioning between different AI research areas, successful grant writing, managing interdisciplinary research in AI, and time management. Both the invited talk and career panel provided students with an excellent opportunity to ask questions about their future careers and other aspects of their graduate and post-graduate journeys. You can see the program in more detail here.

This year's conference broke a number of traditions set in America, HCOMP 2018 returned to Europe, where the very first HCOMP workshop had taken place in 2009. Besmira Nushi, Ece Kamar, and Eric interdisciplinary communities, we fostered new connections Horvitz were also singled out with an honorable among collective intelligence, crowdsourcing, mention for their paper "Towards Accountable AI: and human computation scholars and practitioners, Hybrid Human-Machine Analyses for Characterizing across diverse fields including humancomputer System Failure." Finally, Vikram Mohanty, David interaction (HCI), artificial intelligence, Thames, and Kurt Luther's presentation, "Are 1,000 economics, business, and design. Features Worth A Picture? Combining Crowdsourcing HCOMP was started by researchers from diverse and Face Recognition to Identify Civil War Soldiers," fields who wanted a high-quality scholarly venue for was given the Best Poster / Demo Presentation the review and presentation of the highest quality award. For this, we invited previous AAAI HCOMP conferences (and four submissions to a Works-in-Progress (WIP) and HCOMP workshops before that) to promote the most Demonstrations track, co-organized by Alessandro rigorous and exciting scholarship in this fast-emerging, Bozzon (Delft University of Technology) and Matteo multidisciplinary area.

We would like to invite submissions to the 5th International Conference on Movement and Computing (MOCO'18), Genoa, Italy, June 28-30, 2018. Contributions can be submitted to three different tracks: Papers and Posters, Practice Works, and Doctoral Consortium. MOCO is an interdisciplinary conference that explores how computer science and technology can contribute to a deeper understanding of human movement practice, to support and facilitate movement expression and communication, and to design and develop new paradigms for interacting with computers through movement (e.g., movement interfaces). This requires to tackle computational challenges, including modeling, representation, segmentation, recognition, classification, and generation of movement information. To this aim, an interdisciplinary approach to movement understanding, ranging from biomechanics to embodied cognition, to the phenomenology of bodily experience as well as contributions from the performing arts is needed.