Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers Automated Content Moderation Increases Adherence to Community Guidelines Online social media platforms use automated moderation systems to remove or reduce the visibility of rule-breaking content. While previous work has documented the importance of manual content moderation, the effects of automated content moderation remain largely unknown, in part due to the technical... Dataset Distillation: A Comprehensive Review Recent success of deep learning can be largely attributed to the huge amount of data used for training deep neural networks. However, the sheer amount of data significantly increase the burden on storage and transmission. It would also consume considerable time and computational resources to train... Data Distillation: A Survey The popularity of deep learning has led to the curation of a vast number of massive and multifarious datasets. Despite having close-to-human performance on individual tasks, training parameter-hungry models on large datasets poses multi-faceted problems such as (a) high model-training time; (b) slow... More featured content News Articles Worker organisations can survive the digital age. Here’s how NDIS plans rely on algorithms to judge need – the upcoming review should change that Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Study urges caution when comparing neural networks to the brain Using sound to model the world The White House’s ‘AI Bill of Rights’ outlines five principles to make artificial intelligence safer, more transparent and less discriminatory A New, Transparent AI Tool May Help Detect Blood Poisoning AI could help predict suicides – but rushing the technology could lead to big mistakes Deep learning with light Learning on the edge Debate: How to stop our cities from being turned into AI jungles More news