2022
DOI: 10.5751/es-13747-270436
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Coproduction mechanisms to weave Indigenous knowledge, artificial intelligence, and technical data to enable Indigenous-led adaptive decision making: lessons from Australia’s joint managed Kakadu National Park

Abstract: Coproduction mechanisms to weave Indigenous knowledge, artificial intelligence, and technical data to enable Indigenous-led adaptive decision making: lessons from Australia's joint managed Kakadu National Park. Ecology and Society 27(4):36.

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Cited by 4 publications
(2 citation statements)
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“…Indigenous local knowledge is often produced and validated in ways that do not match academic standards, as reflected in the fishers' experiential and informally shared knowledge about spawning periods, which may lack a robust cultural consensus within a fishing community. Rather than simply assuming that ILK provides additional data for already established frameworks and models of fisheries management, we therefore argue for the need to develop a transdisciplinary intercultural approach (Rist and Dahdouh-Guebas 2006) that takes knowledge co-production seriously (e.g., Tengö et al 2017, Norström et al 2020, Chambers et al 2021, Robinson et al 2022, as well as both synergies and tensions between different knowledge systems (Ludwig 2016, Ludwig and Poliseli 2018, Ludwig and El-Hani 2020. Such a transdisciplinary intercultural approach recognizes that environmental policy needs to be grounded in epistemic diversity while critically reflecting on the challenges of transdisciplinary practices in governance.…”
Section: Discussionmentioning
confidence: 99%
“…Indigenous local knowledge is often produced and validated in ways that do not match academic standards, as reflected in the fishers' experiential and informally shared knowledge about spawning periods, which may lack a robust cultural consensus within a fishing community. Rather than simply assuming that ILK provides additional data for already established frameworks and models of fisheries management, we therefore argue for the need to develop a transdisciplinary intercultural approach (Rist and Dahdouh-Guebas 2006) that takes knowledge co-production seriously (e.g., Tengö et al 2017, Norström et al 2020, Chambers et al 2021, Robinson et al 2022, as well as both synergies and tensions between different knowledge systems (Ludwig 2016, Ludwig and Poliseli 2018, Ludwig and El-Hani 2020. Such a transdisciplinary intercultural approach recognizes that environmental policy needs to be grounded in epistemic diversity while critically reflecting on the challenges of transdisciplinary practices in governance.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, significant attention has been given to how artificial intelligence (AI) can be utilized by society, and for this article's purposes, how it can be integrated into ecological restoration (Castro et al 2021; Yin et al 2021; Robinson et al 2022). In this article, we explore ways that AI can be integrated as an additional tool by stakeholders in the planning and implementation processes involved in ecological restoration projects but contend that it is vital to recognize that AI tools, like all tools, are embedded with values and agency by their designers—which can alter intended outcomes.…”
Section: Introductionmentioning
confidence: 99%