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Utilizing a multispecies lens and anticolonial framework, contributors to this special issue seek to reconceptualize justice to include beings beyond the human realm. The authors imagine how existing political institutions-which determine the meaning and distributions of value and power-might be formed and transformed in ways that respond to and afford justice in the lives, relations, and socialities of other-than-human beings. This institutional shift, the authors argue, would disrupt uneven fields of identity-based power, inequality, marginalization, and privilege. It would also foster practices of living together in ways that are hospitable to a broader range of subjects, both human and nonhuman, at a time of socio-ecological unraveling, threat, and instability. Essays cover a variety of topics, including the subterranean estrangement of stygofauna, slaughterhouses and factory farms, anticolonial conceptions of justice, critical plant studies, ecofeminism, and Indigenous cosmopolitics. The authors of this collection engage with methods and concepts derived from fields including cultural theory, anthropology, political theory, philosophy, art, history of science, queer/feminist theory, law, and conservation science. Contributors: Ravi Agarwal, Margaret Barbour, Danielle Celermajer, Sophie Chao, Sria Chatterjee, Janet Lawrence, Dalia Nasser, Astrida Neimanis, Susan Reid, Daniel Ruiz-Serna, Hayley Singer, Christine Winter

This issue provides an overview of the emerging interdisciplinary field of Critical AI, which seeks to demystify artificial intelligence; counter its mythologizing as a marvelous and impenetrable black box; and translate, interpret, and critique its operations, from data collection and model architecture to decision making. Artists and researchers are developing new methods, practices, and concepts for this critical project, which is both historicist and attentive to the institutional, technological, and epistemic transformations still underway. Contributors to this special issue collectively articulate and evince just such a critical approach to AI, one that combines humanistic and technical inquiry in its exploration of disciplinary and epistemological questions on the one hand, and the techniques of machine learning on the other. Featured contributions articulate some of the social, cultural, and ethicopolitical dimensions of machine learning in domains such as ecologies, art, poetics, race, warfare, pedagogy, and speculative fiction. Contributors. Ranjodh Singh Dhaliwal, Evan Donahue, Michele Elam, Seb Franklin, Christopher Grobe, N. Katherine Hayles, Tung-Hui Hu, Patrick Jagoda, Melody Jue, Fabian Offert, Rita Raley, Jennifer Rhee, R. Joshua Scannell, J.D. Schnepf, Tyler Shoemaker, Avery Slater, Luke Stark, Lindsay Thomas, Sherryl Vint