As computers get more powerful, we are increasingly using them to make predictions. The software that makes these predictions is often called artificial intelligence. It's interesting that we call it "intelligence," because other tasks we assign to computers--computing huge numbers, running complex simulations--are also things that we label as "intelligence" when humans do them. For instance, my kids are graded on their intelligence at school based on their ability to do complex mathematical calculations. When we let computers project into the future and make their own decisions about what step to take next--what chess move to make, what driving route to suggest--we seem to want to call it artificial intelligence.

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Emily Bender about "The Power of Linguistics: Unpacking Natural Language Processing Ethics". What are the societal impacts and ethics of Natural Language Processing (or NLP)? How can language be a form of power? How can we effectively teach ethics in the NLP classroom?