Category Archive

In their paper Reducing Leximin Fairness to Utilitarian Optimization, Eden Hartman, Yonatan Aumann, Avinatan Hassidim and Erel Segal-Halevi present a scheme for addressing social choice problems. In this interview, Eden tells us more about such problems, the team’s methodology, and why this is such a fascinating and challenging area for study. What is the topic of the research in your … Read More

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. Co-design with Pinar Guvenc This episode we’re chatting with Pinar Guvenc about her “What’s Wrong With” podcast, co-design, whether AI is ready for society and society … Read More

By David Poole, University of British Columbia In 1948, the founder of information theory, Claude Shannon, proposed modelling language in terms of the probability of the next word in a sentence given the previous words. These types of probabilistic language models were largely derided, most famously by linguist Noam Chomsky: “The notion of ‘probability of a sentence’ is an entirely … Read More

Coinbase lists ZORA under Experimental Label on 25 April. ZORA debuted via airdrop and Binance Alpha two days earlier. Supported by KuCoin, Bitget, Gate.io, MEXC, and Bitrue Coinbase has officially listed ZORA, a content tokenisation cryptocurrency launched just two days prior, marking another step in its strategy to support early-stage blockchain projects. Alongside ZORA, Mantle (MNT) was added to the … Read More

In a series of interviews, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, we hear from Amina Mević who is applying machine learning to semiconductor manufacturing. Find out more about her PhD research so far, what makes this field so interesting, and how she found the AAAI Doctoral … Read More

Fritzchens Fritz / GPU shot etched 5 / Licenced by CC-BY 4.0 In this blog post, Dominik Vrabič Dežman provides a summary of his recent research article, ‘Promising the future, encoding the past: AI hype and public media imagery‘. Dominik sheds light on the importance of the Better Images of AI library which fosters a more informed, nuanced public understanding … Read More

Grace Wahba. Photo by David Callan, 2025. The International Prize in Statistics Foundation has awarded Grace Wahba the 2025 prize for “her groundbreaking work on smoothing splines, which has transformed data analysis and machine learning”. Professor Wahba was among the earliest to pioneer the use of nonparametric regression modeling. Recent advances in computing and availability of large data sets have … Read More

In their work PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks presented at AAAI 2025, Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, and Miguel Rodrigues developed a new way to certify the performance of machine learning models in the presence of adversarial attacks with population-level risk guarantees. Here, Chen tells us more about their … Read More

PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. By Amy X Lu The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding? In PLAID, we develop … Read More

Hosted by The Alan Turing Institute, AI UK is a yearly event that brings together representatives from government, academia and industry to showcase data science and AI research and innovation in the UK. As in previous years, AI UK 2025 took place in-person and online, and was held over two days (17-18 March 2025). Recordings from many of the sessions … Read More