Data refusal from below: A framework for understanding, evaluating, and envisioning refusal as design
Amidst calls for public accountability over large data-driven systems, feminist and
indigenous scholars have developed refusal as a practice that challenges the authority of …
indigenous scholars have developed refusal as a practice that challenges the authority of …
Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability
In July 2023, New York City became the first jurisdiction globally to mandate bias audits for
commercial algorithmic systems, specifically for automated employment decisions systems …
commercial algorithmic systems, specifically for automated employment decisions systems …
Refusal in data ethics: Re-imagining the code beneath the code of computation in the carceral state
C Barabas - Barabas, Chelsea, 2022 - papers.ssrn.com
In spite of a growing interest in ethical approaches to computation, engineers and
quantitative researchers are often not equipped with the conceptual tools necessary to …
quantitative researchers are often not equipped with the conceptual tools necessary to …
Power asymmetries, epistemic imbalances and barriers to knowledge: the (im) possibility of knowing algorithms
AP Stefanija - Handbook of Critical Studies of Artificial Intelligence, 2023 - elgaronline.com
564 Handbook of critical studies of artificial intelligence into patterns, their behaviour
predicted, and their future steered/affected. This process of datafication, understood as the …
predicted, and their future steered/affected. This process of datafication, understood as the …
Addressing privacy threats from machine learning
MA Smart - arxiv preprint arxiv:2111.04439, 2021 - arxiv.org
Every year at NeurIPS, machine learning researchers gather and discuss exciting
applications of machine learning in areas such as public health, disaster response, climate …
applications of machine learning in areas such as public health, disaster response, climate …