Outputs (3)

The tensions of deepfakes (2023)
Journal Article

In recent years, deepfakes have become part and parcel of contemporary algorithmic culture. It is regularly claimed that they have the potential to introduce novel modes of societal disruption, violence, and harm. Yet, over-emphasising the power of d... Read More about The tensions of deepfakes.

Machine learning, meaning making: On reading computer science texts (2023)
Journal Article

Computer science tends to foreclose the reading of its texts by social science and humanities scholars – via code and scale, mathematics, black box opacities, secret or proprietary models. Yet, when computer science papers are read in order to better... Read More about Machine learning, meaning making: On reading computer science texts.

Machine learning and the politics of synthetic data (2023)
Journal Article

Machine-learning algorithms have become deeply embedded in contemporary society. As such, ample attention has been paid to the contents, biases, and underlying assumptions of the training datasets that many algorithmic models are trained on. Yet, wha... Read More about Machine learning and the politics of synthetic data.