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The Machine Ethics podcast: moral agents with Jen Semler

AIHub

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. This month, Ben met in-person with Jen Semler. Jen Semler is a Postdoctoral Fellow at Cornell Tech's Digital Life Initiative. Her research focuses on the intersection of ethics, technology, and moral agency. She holds a DPhil (PhD) in philosophy from the University of Oxford.


The greatest risk of AI in higher education isn't cheating – it's the erosion of learning itself

AIHub

Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating . Will students use chatbots to write essays? Should universities ban the tech? But focusing so much on cheating misses the larger transformation already underway, one that extends far beyond student misconduct and even the classroom. Universities are adopting AI across many areas of institutional life .


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

AIHub

Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode, we talk to Tomasz Hollanek, researcher at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems. The conversation examines the importance of AI literacy, the responsibilities of journalists in reporting on AI technologies, and how design choices embed social and political values into AI. Together, we reflect on how critical design can challenge existing power dynamics and open up more just and inclusive approaches to human-AI interaction.


Studying multiplicity: an interview with Prakhar Ganesh

AIHub

In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We sat down with Prakhar Ganesh to learn about his work on responsible AI, which is focussed on the concept of multiplicity. We found out more about some of the projects he's been involved in, his future plans, and how he got into the field. Could you start with a quick introduction to yourself, where you're studying, and the broad topic of your research? My name is Prakhar Ganesh. I'm also affiliated with Mila, which is a research institute in Montreal. My supervisor is Professor Golnoosh Farnadi.


RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

AIHub

RWDS Big Questions: how do we balance innovation and regulation in the world of AI? AI development is accelerating, while regulation moves more deliberately. That tension creates a core challenge: how do we maintain momentum without breaking the things that matter? The aim isn't to slow innovation unnecessarily, but to ensure progress happens at a pace that protects individuals and society. Responsible actors should not be disadvantaged -- yet safeguards are essential to maintain trust. For the latest video in our RWDS Big Questions series, our panel explores this delicate balance.


Forthcoming machine learning and AI seminars: March 2026 edition

AIHub

This post contains a list of the AI-related seminars that are scheduled to take place between 2 March and 30 April 2026. All events detailed here are free and open for anyone to attend virtually. Farnaz Farzadnia, Sebastian Merten, Francesca Da Ros Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Keyon Vafa (Harvard University) EPFL The Zoom link is here . Javier M. Moguerza (Research Centre for Intelligent Information Technologies) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .


Top AI ethics and policy issues of 2025 and what to expect in 2026

AIHub

This happened as generative and agentic systems became essential in key sectors worldwide. This feature highlights the major AI ethics and policy developments of 2025, and concludes with a forward-looking perspective on the ethical and policy challenges likely to shape 2026.


Can AI in military operations really be ethical?

Al Jazeera

Could Iran be using China's BeiDou system? The Stream Can AI in military operations really be ethical? We examine concerns about AI's role in military operations and the broader ethical challenges facing tech companies. Amid growing backlash against ChatGPT and OpenAI, including social media campaigns calling for a boycott, we examine whether so-called "ethical alternatives" truly live up to their claims. We also explore emerging initiatives seeking to challenge Big Tech's dominance and develop more accountable AI systems.


Pragmatic by design: Engineering AI for the real world

MIT Technology Review

In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance. The impact of artificial intelligence extends far beyond the digital world and into our everyday lives, across the cars we drive, the appliances in our homes, and medical devices that keep people alive. More and more, product engineers are turning to AI to enhance, validate, and streamline the design of the items that furnish our worlds. The use of AI in product engineering follows a disciplined and pragmatic trajectory. A significant majority of engineering organizations are increasing their AI investment, according to our survey, but they are doing so in a measured way. This approach reflects the priorities typical of product engineers.