Misleading narratives play a crucial role in shaping public opinion during elections, as they can influence how voters perceive candidates and political parties. This entails the need to detect these narratives accurately. To address this, we introduce the first taxonomy of common misleading narratives that circulated during recent elections in Europe. Based on this taxonomy, we construct and analyse UKElectionNarratives: the first dataset of human-annotated misleading narratives which circulated during the UK General Elections in 2019 and 2024. We also benchmark Pre-trained and Large Language Models (focusing on GPT-4o), studying their effectiveness in detecting election-related misleading narratives. Finally, we discuss potential use cases and make recommendations for future research directions using the proposed codebook and dataset.

The National Youth Assembly on AI was organised by the Government as part of its aim to demystify this technology. As part of the Government's national AI strategy, young people from across Ireland are being invited to share their thoughts on the tech and how it can be used. Young delegates are today (12 October) attending the National Youth Assembly on Artificial Intelligence at the Tangent ideas workspace in Trinity College Dublin (TCD). These delegates are being joined by guest delegates from groups such as Spun Out and Foróige. Together, they will discuss AI and present their recommendations and thoughts to the Government.

Chile joins the group of countries such as Brazil, Argentina, Mexico and Colombia, which, within the region, recently presented AI strategies.

The Niti Aayog will soon come out with a national policy on artificial intelligence, outlining the scope of research and for the adoption and commercialisation of the technology to counter China's thrust towards AI. The policy is expected to lay out short-, medium- and long-term goals to be achieved by 2022, 2026 and 2030, as India gears up to meet its commitment towards sustainable development goals, starting 2018. Under the policy, deadlines for commercial rollout of AI may also be proposed in areas like agriculture, health, education, banking, retail and transportation. It may also suggest incentives for startups and venture capital funds that undertake research and adoption of AI. These guidelines would be based on half a dozen pilots the Aayog has undertaken on AI in areas of agriculture, health, education and creation of other social infrastructure.