(2/2) But this failure also represents a chance, a concrete opportunity if you will, to reimagine how AI works from the ground up, to think anew about where it should and should not be applied in a way that emphasises human creativity, solidarity, and potentiality.” Powerful call to action for computational morality and bringing back the human component to AI/ML in Kate Crawford’s thought-provoking lecture. #TNA #AnnualDigitalLecture

“… the reduction of context to data, of meaning to statistical pattern recognition” Chilling words from Kate Crawford at #TNA #AnnualDigitalLecture on how machine learning “ground truths” can dehumanise and decontextualise data while at the same time propagating the biases and inequalities of its source data sets.

On a more cheery note, there are slides of cute “dogs” of varying definition…