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The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

  26 Feb 2026
In this episode, Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems.

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

  25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.

The Machine Ethics podcast: moral agents with Jen Semler

In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

  23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

  20 Feb 2026
In this episode, Eleanor and Kerry talk to Beryl Pong about what it means to think about drones as “good” or “ethical” technologies.

Learning to see the physical world: an interview with Jiajun Wu

and   17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

  12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).

From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

and   11 Feb 2026
We hear from Aishwarya about research that received a 2019 AAAI / ACM SIGAI Doctoral Dissertation Award honourable mention.

#AAAI2026 social media round up: part 2

  03 Feb 2026
Catch up on the action from the second half of the conference.

Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning

  02 Feb 2026
In the second of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Zijian Zhao.

The Machine Ethics podcast: 2025 wrap up with Lisa Talia Moretti & Ben Byford

Lisa and Ben chat about the prevalence of AI slop, the end of social media, Grok and explicit content generation, giving legislation more teeth, anthropomorphising reasoning models, and more.

Interview with Kate Larson: Talking multi-agent systems and collective decision-making

  27 Jan 2026
AIhub ambassador Liliane-Caroline Demers caught up with Kate Larson at IJCAI 2025 to find out more about her research.

#AAAI2026 social media round up: part 1

  23 Jan 2026
Find out what participants have been getting up to during the first few of days at the conference

3 Questions: How AI could optimize the power grid

  21 Jan 2026
While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

Interview with Xiang Fang: Multi-modal learning and embodied intelligence

  20 Jan 2026
In the first of our new series of interviews featuring the AAAI Doctoral Consortium participants, we hear from Xiang Fang.

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

  13 Jan 2026
Find out more about the forthcoming changes to the RoboCup soccer leagues.

The Machine Ethics podcast: Companion AI with Giulia Trojano

Ben chats to Giulia Trojano about AI as an economic narrative, companion chatbots, deskilling of digital literacy, chatbot parental controls, differences between social AI and general AI services and more.

AIhub interview highlights 2025

  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

  18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.

The Machine Ethics podcast: the AI bubble with Tim El-Sheikh

Ben chats to Tim about AI use cases, whether GenAI is even safe, the AI bubble, replacing human workers, data oligarchies and more.

Interview with Alice Xiang: Fair human-centric image dataset for ethical AI benchmarking

  04 Dec 2025
Find out more about this publicly-available, globally-diverse, consent-based human image dataset.

The Machine Ethics podcast: Fostering morality with Dr Oliver Bridge

Talking machine ethics, superintelligence, virtue ethics, AI alignment, fostering morality in humans and AI, and more.

Interview with Frida Hartman: Studying bias in AI-based recruitment tools

  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.

Interview with Mario Mirabile: trust in multi-agent systems

  18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.

#ECAI2025 – social media round up

  31 Oct 2025
Over the past week, researchers have gathered in Bologna for the 28th European Conference on Artificial Intelligence.

#AIES2025 social media round-up

  24 Oct 2025
Find out what participants got up to at the Conference on Artificial Intelligence, Ethics, and Society.

Applying machine learning to chip design and manufacturing: interview with Lorenzo Servadei

  14 Oct 2025
Find out how Lorenzo and his team are using ML and Electronic Design Automation.

Policy design for two-sided platforms with participation dynamics: interview with Haruka Kiyohara

  09 Oct 2025
Studying the long-term impacts of decision-making algorithms on two-sided platforms such as e-commerce or music streaming apps.

The Machine Ethics podcast: What excites you about AI? Vol.2

This is a bonus episode looking back over answers to our question: What excites you about AI?

Interview with Janice Anta Zebaze: using AI to address energy supply challenges

  07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

  03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.





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