Curtis P. Langlotz, Stanford radiologist, argues that AI won't replace radiologists, but radiologist who use AI will replace those who don't. Curtis believes a partnerships between a specialised radiologists and an AI algorithm would yield more accurate diagnosis that any of the parts alone. [[Will Artificial Intelligence Replace Radiologists? (Langlotz, 2019)]] **Connections to other ideas** However, [[AI's capabilities have traditionally been measured by their ability to beat us rather than helping us achieve common goals]]. Therefore, to realise a model where AI augments our capabilities, we need to measure it accordingly. This approach has been explored by Louie et al 2021, now that [[Magenta is focusing more on developing generative AI models that work with creators]]. [[HCI and ML Putthing People First (Louie et all, 2021)]] Similarly, in the field of computational creativity, various authors have suggested that [[Using AI to augment rather than replace human creativity is a more transformational approach]]. [[Using Artificial Intelligence to Augment Human Intelligence (Carter & Nielsen, 2017)]], [[Magenta.js, A JavaScript API for Augmenting Creativity with Deep Learning (Roberts et al., 2018)]] Therefore, [[A key component for developing effective human-AI cooperation is having metrics that evaluate achieving a common goal]]. https://paperpile.com/app/p/b8f608eb-fdf9-0fad-9702-8e1743065839 @ARTICLE{Langlotz2019-hh, title = "Will Artificial Intelligence Replace Radiologists?", author = "Langlotz, Curtis P", journal = "Radiol Artif Intell", volume = 1, number = 3, pages = "e190058", month = may, year = 2019, language = "en" }