Digital territory, digital flesh

Western Indigenous cultures have been colonized, dehumanized and silenced. As AI grows and learns from colonial pre-existing biases, it also reinforces the notion that Natives no longer are but were. And since machine learning requires the input of categorical data, from which AI develops knowledge and understanding, compartmentalization is a natural behavior AI undertakes. As AI classifies Indigenous communities into a marginalized and historicized digital data set, the asterisk, the code, we fall into a cultural trap of recolonization. This necessitates an interference. A non-violent break. A different kind of rupture. One which fractures colonization and codification and opens a space for colonial recovery and survival. If we have not yet contemporized the colonized Western Indigenous experience, how can we utilize tools of artificial intelligence such as the interface and digitality to create a space that de-codes colonial corporeality resulting in a sense of boundlessness, contemporization and survival

Revisualising Intersectionality

Revisualising Intersectionality offers transdisciplinary interrogations of the supposed visual evidentiality of categories of human similarity and difference. This open-access book incorporates insights from social and cognitive science as well as psychology and philosophy to explain how we visually perceive physical differences and how cognition is fallible, processual, and dependent on who is looking in a specific context. Revisualising Intersectionality also puts into conversation visual culture studies and artistic research with approaches such as gender, queer, and trans studies as well as postcolonial and decolonial theory to complicate simplified notions of identity politics and cultural representation. The book proposes a revision of intersectionality research to challenge the predominance of categories of visible difference such as race and gender as analytical lenses

Revisualising Intersectionality

Revisualising Intersectionality offers transdisciplinary interrogations of the supposed visual evidentiality of categories of human similarity and difference. This open-access book incorporates insights from social and cognitive science as well as psychology and philosophy to explain how we visually perceive physical differences and how cognition is fallible, processual, and dependent on who is looking in a specific context. Revisualising Intersectionality also puts into conversation visual culture studies and artistic research with approaches such as gender, queer, and trans studies as well as postcolonial and decolonial theory to complicate simplified notions of identity politics and cultural representation. The book proposes a revision of intersectionality research to challenge the predominance of categories of visible difference such as race and gender as analytical lenses

Fair and equitable AI in biomedical research and healthcare:Social science perspectives

Artificial intelligence (AI) offers opportunities but also challenges for biomedical research and healthcare. This position paper shares the results of the international conference “Fair medicine and AI” (online 3–5 March 2021). Scholars from science and technology studies (STS), gender studies, and ethics of science and technology formulated opportunities, challenges, and research and development desiderata for AI in healthcare. AI systems and solutions, which are being rapidly developed and applied, may have undesirable and unintended consequences including the risk of perpetuating health inequalities for marginalized groups. Socially robust development and implications of AI in healthcare require urgent investigation. There is a particular dearth of studies in human-AI interaction and how this may best be configured to dependably deliver safe, effective and equitable healthcare. To address these challenges, we need to establish diverse and interdisciplinary teams equipped to develop and apply medical AI in a fair, accountable and transparent manner. We formulate the importance of including social science perspectives in the development of intersectionally beneficent and equitable AI for biomedical research and healthcare, in part by strengthening AI health evaluation

Digital territory, digital flesh: Decoding the indigenous body

Western Indigenous cultures have been colonized, dehumanized and silenced. As AI grows and learns from colonial pre-existing biases, it also reinforces the notion that Natives no longer are but were. And since machine learning requires the input of categorical data, from which AI develops knowledge and understanding, compartmentalization is a natural behavior AI undertakes. As AI classifies Indigenous communities into a marginalized and historicized digital data set, the asterisk, the code, we fall into a cultural trap of recolonization. This necessitates an interference. A non-violent break. A different kind of rupture. One which fractures colonization and codification and opens a space for colonial recovery and survival. If we have not yetcontemporized the colonized Western Indigenous experience, how can we utilize tools of artificial intelligence such as the interface and digitality to create a space that de-codes colonial corporeality resulting in a sense of boundlessness, contemporization and survival

DE-

The workshop will explore multiple expressions of the prefix de-. Through discussions, working in clay session, and photo annotation exercises, participants will build a catalogue of images that plays with and explores subjectivity, situatedness, and contingency. The workshop is part of a series that aims to investigate what it might mean to de-classify/de-colonize/de-centre knowledges in different critical and geographical contexts. A detailed outline of the day and specifics about each part of workshop will be distributed to registered participants in advance of the session.DE-, workshop, ICI Berlin, 22 January 2018 <https://doi.org/10.25620/e180122