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2,298 papers
This full-day workshop uses the concept of dissonance to think about and experience AI in live performance, covering visual, musical, and other creative practices, and aims to develop a shared vocabulary through hands-on, practice-based engagement.
Generative AI (GenAI) is moving with a pulse that many human-computer interaction (HCI) and interaction design (IxD) educators struggle to keep up with. While educators are adapting, they are largely doing so in isolation, and the specific challenges they face and what they need to stay current remain understudied. Thi...
It is demonstrated that researchers may make environmentally sustainable choices in research practices by making deliberate choices about agentic AI use, and that the use of LLMs versus other software largely drives the power consumption difference.
This half-day workshop draws on speculative design and critical fabulation methods to facilitate structured reflection and speculation on the ways genAI is already transforming – and may continue to transform – research and teaching practices.
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The goal of this tutorial is to introduce participants to the concept of AI literacy, raise awareness of its importance in education, illustrate concrete co-designed learning resources that participants try out themselves, and collectively translate AI literacy into practical teaching materials.
This workshop asks what kinds of AI tools designers genuinely need, and how such tools could be conceptualized, evaluated, and built differently.
Audible Feelings is a mood-tracking application that uses generative AI to translate textual reflections into abstract soundscapes and opens onto a broader question: What roles might sound play in personal journaling, and what does generative AI specifically enable within those roles?
FERC (Frame–Explore–Refine–Commit), a governed interaction cycle for multi-shot human–AI collaboration that structurally safeguards human intent, judgment, and responsibility, is introduced as the cross-cutting interaction strand of the HI Manifesto series.
This critique calls on the HCI and design communities to reclaim explanation as a design challenge, not only an algorithmic or human-centered one, and to resist the gravitational pull of generative models toward problems they are epistemologically ill-equipped to solve.
Interacting with digital systems today increasingly involves being required to demonstrate that one is human. While such requirements are often framed as technical solutions to problems of security and verification, they also raise broader questions about how humanness is defined, operationalized, and recognized within...
There's no denying that Artificial Intelligence (AI), Machine Learning (ML), and Big Data technologies are profoundly changing the face of software engineering and organizational leadership. As these technologies keep evolving, the design, deployment, and management of software systems are undergoing unprecedented chan...
This study delves into the notion of AI agentic architectures for autonomous data engineering pipelines and investigates the potential benefits of intelligent agents in enhancing automation, resilience, and decision-making processes in contemporary data ecosystems.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Oct 12, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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