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Kathryn Conrad / Datafication / Licenced by CC-BY 4.0 By Nadia Delanoy, University of Calgary Since ChatGPT and other large language models burst into public consciousness, school boards are drafting policies, universities are hosting symposiums and tech companies are relentlessly promoting their latest AI-powered learning tools. In the race to modernize education, artificial intelligence (AI) […]

By Jessica Heesen, University of Tübingen and Tori Smith Ekstrand, University of North Carolina at Chapel Hill The roll-out of the European Union’s Artificial Intelligence Act has hit a critical turning point. The act establishes rules for how AI systems can be used within the European Union. It officially entered into force on August 1

By Better Images of AI Stewards We’re often told not to judge a book by its cover. And yet, a cover is often the reason why a reader first picks up a book. A book’s cover design is the window into its story and the author’s intentions. For Better Images of AI, in the context

Lone Thomasky & Bits&Bäume / Distorted Lava Flow / Licenced by CC-BY 4.0 By Seyedali Mirjalili, Torrens University Australia Poisoning is a term most often associated with the human body and natural environments. But it is also a growing problem in the world of artificial intelligence (AI) – in particular, for large language models such

Researchers from Australia’s national science agency CSIRO, Federation University Australia and RMIT University have developed a method to improve the detection of audio deepfakes. The new technique, Rehearsal with Auxiliary-Informed Sampling (RAIS), is designed for audio deepfake detection — a growing threat in cybercrime risks such as bypassing voice-based biometric authentication systems, impersonation and disinformation.

In intelligent systems, applications range from autonomous robotics to predictive maintenance problems. To control these systems, the essential aspects are captured with a model. When we design controllers for these models, we almost always face the same challenge: uncertainty. We’re rarely able to see the whole picture. Sensors are noisy, models of the system are

IceMing & Digit / Stochastic Parrots at Work / Licenced by CC-BY 4.0 Better Images of AI and We and AI have been exploring the role of visual and narrative metaphors in shaping our understanding of AI. As part of this we invited some researchers who have been conducting different types of research into the

  Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values. We present the concept of Value-Aligned Operational Design Domains (VODDs) – a framework that embeds stakeholder value hierarchies and contextual handover rules