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 Moving Fast With Broken Data Machine learning (ML) models in production pipelines are frequently retrained on the latest partitions of large, continually-growing datasets. Due to engineering bugs, partitions in such datasets almost always have some corrupted features; thus, it's critical to detect data issues and block... How to design an AI ethics board Organizations that develop and deploy artificial intelligence (AI) systems need to take measures to reduce the associated risks. In this paper, we examine how AI companies could design an AI ethics board in a way that reduces risks from AI. We identify five high-level design choices: (1) What... It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance Progress in NLP is increasingly measured through benchmarks; hence, contextualizing progress requires understanding when and why practitioners may disagree about the validity of benchmarks. We develop a taxonomy of disagreement, drawing on tools from measurement modeling, and distinguish between two... More featured content News Articles Tokenization and Text Data Preparation with TensorFlow & Keras Data Validation for Machine Learning 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 Top 10 AI, Machine Learning Research Articles to know Resources for Women in AI, Data Science, and Machine Learning “Inactive” pill ingredients could raise the dose of your medication Neural networks facilitate optimization in the search for new materials Showing robots how to do your chores Deep learning for mechanical property evaluation Intro to Machine Learning and AI based on high school knowledge Autonomous vehicles can be fooled to ‘see’ nonexistent obstacles More news