Suzanne Kite structured academic-style review 260227
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structured academic-style review of Suzanne Kite and a brief summary of her public / social media presence related to Indigenous-led AI initiatives — including what can be found from her online presence (e.g., Instagram / related channels) — plus a note on contact / online profiles.
Suzanne Kite (also known professionally as Kite) is an Oglála Lakȟóta performance artist, visual artist, composer, and scholar whose work integrates Indigenous epistemologies with computational media and AI technologies. She holds degrees in music, fine arts, and a PhD from Concordia University, and occupies academic and creative research positions such as Assistant Professor of American and Indigenous Studies and Director of the Wihanble S’a Center for Indigenous AI at Bard College. (k i t e)
Kite’s research intersects Indigenous ontology, ethical AI, performance studies, and research-creation methodologies (“practice-based research” combining artistic practice with scholarly inquiry). Her work challenges mainstream AI paradigms by foregrounding Indigenous ways of knowing and proposing alternatives to extractive or colonial models of technology. (Montalvo Arts Center)
Although much of Kite’s work is creative and hybrid in form, she co-authored the influential essay “Making Kin with Machines” with Jason Edward Lewis, Noelani Arista, and Archer Pechawis, published in The Journal of Design and Science (MIT Press). This essay argues for Indigenous conceptualizations of AI, positioning AI not merely as tools, but as entities within networks of relationality, aligning AI with Indigenous ontologies of kinship and non-human relations. (Montalvo Arts Center)
Her PhD dissertation (“Hél čhaŋkú kiŋ ȟpáye (There lies the road)”) synthesizes Lakȟóta ontologies with ethical frameworks for AI, developing methodologies for culturally grounded AI, wearable technologies, and experiential art forms. The dissertation explicitly articulates how Indigenous protocols can guide AI development beyond extractive models toward relational reciprocity with non-humans — a core divergence from Western AI paradigms. (spectrum.library.concordia.ca)
In other scholarly engagements (e.g., Indigenous Protocols and Artificial Intelligence Position Paper), Kite contributes to frameworks for ethical, Indigenous-centered AI design, articulating protocols rooted in Lakȟóta philosophical traditions. (INDIGENOUS AI)
Kite’s art and installations (e.g., Makȟóčheowápi Akézaptaŋ (Fifteen Maps) and Oíhaŋbleta (In a Dream)) act as embodied inquiries into AI, embodiment, and Indigenous epistemologies. These works use technologies such as LIDAR, interactive sound, and machine learning interfaces to interrogate how AI might express or distort Indigenous cosmologies, and to model ethics through practice rather than only through text. (k i t e)
This practice-based scholarship reframes AI not as abstract algorithms but as relations among beings — human and more-than-human — that require ethical engagement beyond optimization goals typical in technoscience. (concordia.ca)
In both academic and community contexts — workshops, symposia, and collaborations — Kite has worked on Indigenous protocols for AI, advocating for AI systems that respect Indigenous knowledge sovereignty, relationality with non-human life, and community governance of technological futures. Her leadership in Abundant Intelligences and earlier Indigenous Protocols and Artificial Intelligence Working Group situates her as a key thinker at the intersection of AI ethics, Indigenous futurisms, and relational computational design. (Montalvo Arts Center)
Suzanne Kite’s public online presence (primarily through her website and affiliated Instagram accounts such as Abundant Intelligences) reflects her advocacy for an Indigenous-led vision of AI that emphasizes ethical, relational, and community-centered principles. Through posts about talks, exhibitions, and collaborative gatherings, this digital content reinforces her role in discussions about how AI can be reimagined from Indigenous epistemic perspectives, challenging dominant tech narratives.
On social platforms such as Instagram:
This social media footprint corroborates her scholarly and creative work, illustrating that her Indigenous-AI advocacy is not only academic but also communicative and community-oriented, bridging art, scholarship, and public engagement.
Here are key public links that serve as her contact and profile references:
Note: Direct personal email or phone contact is not publicly aggregated in search results; refer to institutional profiles where listed.
If you need formal citations or a deeper dive into any specific published article (e.g., Making Kin with Machines or the Indigenous Protocols and Artificial Intelligence Position Paper), I can assemble academic references and summaries.
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