Welcome to our October 2023 monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, find out about recent events, and more. This month, we talk AI, bias, and ethics with Aylin Caliskan, learn more about probabilistic logic shields, knowledge bases, and sparse reward tasks, and find out why everyone should learn a little programming. AIhub ambassador Andrea Rafai met with Aylin Caliskan at this year's International Joint Conference on Artificial Intelligence (IJCAI 2023), where she was giving an IJCAI Early Career Spotlight talk, and asked her about her work on AI, bias, and ethics. In this interview they discuss topics including bias in generative AI tools and the associated research and societal challenges. In their IJCAI article, Safe Reinforcement Learning via Probabilistic Logic Shields, which won a distinguished paper award at the conference, Wen-Chi Yang, Giuseppe Marra, Gavin Rens and Luc De Raedt provide a framework to represent, quantify, and evaluate safety.