AI ethics has never been far from the industries it sought to critique. While originally designed to bring values such as fairness, accountability and transparency to Big Tech and its products, the lines between Big Tech’s PR initiatives and AI ethics funding has never been clear. In practice, AI ethics now operates as a means for the co-option of critics and to enable regulatory capture. It is used by corporations to create legitimacy and to further accumulate value. The result is that ‘ethics’ has now become a high-valued industrial commodity, and AI ethics its foundry. This anthology is a collective response ...

Moving away from the strong body of critique of pervasive ‘bad data’ practices by both governments and private actors in the globalized digital economy, this book aims to paint an alternative, more optimistic but still pragmatic picture of the datafied future. The authors examine and propose ‘good data’ practices, values and principles from an interdisciplinary, international perspective. From ideas of data sovereignty and justice, to manifestos for change and calls for activism, this collection opens a multifaceted conversation on the kinds of futures we want to see, and presents concrete steps on how we can start realizing good data in ...