ΑΙhub.org
AIhub interview highlights 2025
Lucy Smith
22 Dec 2025
Join us for a look back at some of the interviews we've conducted with members of the AI community.
2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.
AIhub blog post highlights 2025
Lucy Smith
16 Dec 2025
As the year draws to a close, we take a look back at some of our favourite blog posts.
Interview with Alice Xiang: Fair human-centric image dataset for ethical AI benchmarking
Lucy Smith
04 Dec 2025
Find out more about this publicly-available, globally-diverse, consent-based human image dataset.
Interview with Frida Hartman: Studying bias in AI-based recruitment tools
Lucy Smith
02 Dec 2025
In the next in our series of interviews with ECAI2025 Doctoral Consortium participants, we caught up with Frida, a PhD student at the University of Helsinki.
Half of UK novelists believe AI is likely to replace their work entirely
University of Cambridge
24 Dec 2025
A new report asks literary creatives about their views on generative AI tools and LLM-authored books.
RL without TD learning
BAIR blog
23 Dec 2025
This post introduces a reinforcement learning algorithm based on a divide and conquer paradigm.
Identifying patterns in insect scents using machine learning
University of Amsterdam
19 Dec 2025
Scientists will use machine learning to predict what types of molecules interact with insect olfactory receptors.
A backlash against AI imagery in ads may have begun as brands promote ‘human-made’
The Conversation
17 Dec 2025
In a wave of new ads, brands like Heineken, Polaroid and Cadbury have started celebrating their work as “human-made”.
Using machine learning to track greenhouse gas emissions
Universiteit Leiden
15 Dec 2025
PhD candidate Julia Wąsala searches for greenhouse gas emissions in satellite data.
AAAI 2025 presidential panel on the future of AI research – video discussion on AGI
AIhub
12 Dec 2025
Watch the first in a series of video discussions from AAAI.
The Machine Ethics podcast: the AI bubble with Tim El-Sheikh
The Machine Ethics Podcast
11 Dec 2025
Ben chats to Tim about AI use cases, whether GenAI is even safe, the AI bubble, replacing human workers, data oligarchies and more.
Australia’s vast savannas are changing, and AI is showing us how
Pursuit, University of Melbourne
10 Dec 2025
Improving decision-making for dynamic and rapidly changing environments.
Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez
Catch the latest podcast in the new series from AAAI.
AI language models show bias against regional German dialects
Johannes Gutenberg Universität Mainz
08 Dec 2025
New study examines how artificial intelligence responds to dialect speech.
We asked teachers about their experiences with AI in the classroom — here’s what they said
The Conversation
05 Dec 2025
Researchers interviewed teachers from across Canada and asked them about their experiences with GenAI in the classroom.
The Machine Ethics podcast: Fostering morality with Dr Oliver Bridge
The Machine Ethics Podcast
03 Dec 2025
Talking machine ethics, superintelligence, virtue ethics, AI alignment, fostering morality in humans and AI, and more.
Forthcoming machine learning and AI seminars: December 2025 edition
Lucy Smith
01 Dec 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 1 December 2025 and 31 January 2026.
monthly digest
AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset
Lucy Smith
28 Nov 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto Martín-Martín
Listen and watch the latest podcast in the new series from AAAI.
EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness
The Conversation
27 Nov 2025
The EC has proposed delaying parts of the act until 2027 following intense pressure from tech companies and the Trump administration.
Better images of AI on book covers
Better Images Of AI
25 Nov 2025
We share insights from Chrissi Nerantzi on the decisions behind the cover of the open-sourced book ‘Learning with AI’, and reflect on the significance of book covers.
What is AI poisoning? A computer scientist explains
The Conversation
24 Nov 2025
Poisoning is a growing problem in the world of AI – in particular, for large language models.
New AI technique sounding out audio deepfakes
CSIRO
21 Nov 2025
Researchers discover a smarter way to detect audio deepfakes that is more accurate and adaptable to keep pace with evolving threats.
Learning robust controllers that work across many partially observable environments
Maris Galesloot
20 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.
ACM SIGAI Autonomous Agents Award 2026 open for nominations
ACM SIGAI
19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.
Interview with Mario Mirabile: trust in multi-agent systems
Lucy Smith
18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.
Review of “Exploring metaphors of AI: visualisations, narratives and perception”
Cinzia Pusceddu and We and AI
17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.
Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design
Astrid Rakow
13 Nov 2025
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.
Generations in Dialogue: Human-centric AI and collaborative AI systems with Professor Andreea Bobu
Listen to the second episode in this new series from AAAI.
Learning from failure to tackle extremely hard problems
ML@CMU
12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".
