AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we hear about the effect of computing resource on AI research, learn about creating explanations for AI-based decision-making systems, and find out about the moderating effect of instant runoff voting. In a series of interviews, we're chatting to some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In our latest two interviews, we met Bálint Gyevnár and Mike Lee and asked about their work on different aspects of explainable AI. This month, our experts consider the debate around open vs closed science.