Mysterious drones have been spotted at night at airports across Europe. How worried should we be? First comes the warning, that disembodied voice over the tannoy: Your attention please. Please move to the shelter on the minus second floor. Then comes the mosquito-like whine of the incoming Russian drones, massing in their hundreds just above the clouds.

This year, close to half the world's population has the opportunity to participate in an election. The internet is full of doom-laden stories proclaiming that AI-generated deepfakes will mislead and influence voters, as well as enabling new forms of personalized and targeted political advertising. Though such claims are concerning, it is critical to look at the evidence. With a substantial number of this year's elections concluded, it is a good time to ask how accurate these assessments have been so far. The preliminary answer seems to be not very.

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 episode we're chatting with Eleanor and Kerry on good technology and if it's even possible, that technology is political, watering down regulation, the magic of AI, the value of human creativity, how Feminism, Aboriginal, and mixed race studies can help AI development, the performative nature of tech, and more… Dr Kerry McInerney (née Mackereth) is a Research Fellow at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, where she co-leads the Global Politics of AI project on how AI is impacting international relations. She is also a Research Fellow at the AI Now Institute (a leading AI policy thinktank in New York), an AHRC/BBC New Generation Thinker (2023), one of the 100 Brilliant Women in AI Ethics (2022), and one of Computing's Rising Stars 30 (2023). Kerry is the co-editor of the collection Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines (2023, Oxford University Press), the collection The Good Robot: Why Technology Needs Feminism (2024, Bloomsbury Academic), and the co-author of the forthcoming book Reprogram: Why Big Tech is Broken and How Feminism Can Fix It (2026, Princeton University Press). Dr Eleanor Drage is a Senior Research Fellow at the University of Cambridge Centre for the Future of Intelligence, and teaches AI professionals about AI ethics on a Masters course at Cambridge.

Yemen's Houthi militia claimed an attempted attack on southern Israel on Tuesday, saying it had launched a "large batch" of ballistic and cruise missiles as well as drones toward Israeli targets. The Iran-backed militia carried out the attempted assault in response to what it called "brutal Israeli-American aggression" in Gaza, the Houthi military spokesman, Yahya Sarea, said on the social media platform X. Mr. Sarea said the attack was the third operation conducted by the Houthis "in support of our persecuted brothers in Palestine," and threatened further missile and drone assaults. The Times could not independently verify the Houthi claims. On Tuesday, the Israeli military said its aerial defense system had intercepted a surface-to-surface missile fired toward Israel "from the area of the Red Sea."

You've seen the art AI image generators can create, and you may have played with natural language AI chatbots. You've benefited from artificial intelligence tools recommending you music and suggesting your next streaming show. But AI can do much more. Humans are excellent at spotting patterns. It's why we see faces on Mars or in the clouds.

Work with the platform development team to assist with the data collection, processing and validation. This may include software development tasks to enable the linkage of mHealth data with other health and non-health datasets. Work with the platform development team to assist with the data collection, processing and validation. This may include software development tasks to enable the linkage of mHealth data with other health and non-health datasets.

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations. At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presences are required. In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022.

The Nanyang Technological University in Singapore currently has an open Research Fellow position on Machine Learning for Geothermal Energy …

With excellent, high-quality students, a vibrant research environment, being based in the Suzhou Industrial Park, which houses over 100 Fortune 500 companies, and in close proximity to other higher education institutions, this is a unique opportunity to engage in multi-disciplinary research collaborations and enhance your future career prospects in a teaching and research focused role. The Department of Data Science and Artificial Intelligence and Department of Software Systems and Cybersecurity strive to provide a welcoming and open culture that is inclusive of students and staff of diverse genders, sexes, sexualities, religions and cultures and people with disabilities. In accordance with Monash University's commitment to Athena Swan principles, we particularly encourage applications from women in data science and artificial intelligence. For further information, please see our website: www.monash.edu/it/edi/women-in-it. If deep engagement with Monash Australia and its teaching & research staff, and the opportunity to collaborate with experts across the Faculty of Information Technology within a world top 100 University, is of interest to you, we look forward to receiving your application!

CSET Research Fellows apply their varied experience and expertise to challenging policy questions at the intersection of national security and emerging technology. Comfortable working with empirical data and evidence to support policy recommendations, Research Fellows are expected to lead research projects, brief policymakers, participate in public events, and manage and mentor CSET's Research Analysts, Research Assistants, and student affiliates. They are also expected to work closely with CSET's data scientists to conduct empirical analyses. Generally, Research Fellows are less than 10 years out of graduate school (MA, PhD or JD) programs and are encouraged to enter public service at the conclusion of their fellowship. Please note that each position has separate, detailed position descriptions, requirements and application instructions.