Amidon, Timothy Russell, authorSackey, Donnie Johnson, authorACM, publisher2024-12-172024-12-172024-10-20Timothy Russell Amidon and Donnie Johnson Sackey. 2024. Justice in/and the Design of AI Risk Detection Technologies. In The 42nd ACM International Conference on Design of Communication (SIGDOC ’24), October 20–22, 2024, Fairfax, VA, USA. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3641237.3691656https://hdl.handle.net/10217/239733This article examines the role of communication design within platforms that combine the affordances of remote sensing and artificial intelligence (AI) technologies, focusing specifically on decision support systems used for managing climate risks and disasters such as wildfire. Building upon Carroll et al.'s [65] principles for Indigenous data governance, the authors advance an original heuristic for considering the design justice [17] of smart and connected community technologies in risk management. The authors perform a heuristic evaluation [58] of one AI wildfire detection platform (AIWDP), illustrating how platforms designs might promote openness, trust, and justice.born digitalarticleseng©Timothy Russell Amidon, et al. ACM 2024. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in SIGDOC '24, https://dx.doi.org/10.1145/3641237.3691656.artificial intelligencedesign justiceclimate crisisrisk communicationsmart citiesTexthttps://doi.org/10.1145/3641237.3691656