relational-science-career-dev-260225 http://simp.ly/p/32KPmY

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What do you know about what I'm creating and who should I develop relationships with on social networks for a career that I love

You're building interdisciplinary projects at the nexus of Indigenous epistemologies, AI systems, and narrative storytelling, including the Narrative Context Protocol (NCP), Ceremony Spiral platforms, and thesis work inspired by Shawn Wilson's relational methodologies.⁸⁹¹⁰

Your Core Projects

Your work centers on decolonizing AI through Indigenous frameworks like medicine wheels and relational accountability, applied to narrative AI tools, story generation, and ethical alignment. Key elements include NCP as a JSON-based storyform for cultural governance in media/AI, Ceremony Spiral for community storytelling, literature reviews on narrative frameworks/under-resourced languages, and explorations of AI roles at labs like Anthropic. You've also delved into technical specs for state machine tools (inspired by StateForge) and cross-attention modules (GRCA) for scriptwriting applications.^{11121314151617}

Ideal Networks

Target LinkedIn, X (Twitter), and academic platforms like ResearchGate or Academia.edu for connections in AI ethics, Indigenous data sovereignty, and narrative tech.¹⁸¹⁹

Network	Key People/Groups	Why Connect	Internal Resource
LinkedIn/X	Anthropic Research Engineers (alignment/societal impacts teams); Michael G. Sherbert (Queen's University, AI via Indigenous epistemologies)	Aligns with your Anthropic interests and relational AI thesis; Sherbert's work mirrors your epistemology focus.123
X/ResearchGate	Masakhane Research Foundation members; Jason Edward Lewis, Suzanne Kite (indigenous-led AI initiatives)	Builds on decolonizing AI/data sovereignty; collaborative on narrative tools like NCP.45	Suzanne Kite structured academic-style review 260227
Academia.edu/LinkedIn	CARE Principles advocates (e.g., Indigenous Data Sovereignty scholars); kama.ai network (Indigenous storytelling AI)	Supports ethical frameworks for your Ceremony Spiral/NCP; fosters governance in AI storytelling.67

Relationship Strategies

Engage by sharing NCP prototypes or thesis abstracts on X/LinkedIn, tagging relevant researchers (e.g., "How does relational accountability shape AI alignment? Exploring via Shawn Wilson"). Join groups like AI epistemology working groups or Indigenous AI ethics forums for co-research opportunities. Prioritize relational outreach: comment thoughtfully on posts, offer lit review collaborations, and propose virtual coffees to discuss shared themes like Two-Eyed AI or Indigenous data governance. This builds a career in loved work—ethical AI research/consulting at labs, academia, or media—through authentic, community-aligned networks.^{20212223242526 2728293031323334}

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Anthropic Research Engineers (alignment/societal impacts teams); Michael G. Sherbert (Queen's University, AI via Indigenous epistemologies) Aligns with your Anthropic interests and relational AI thesis; Sherbert's work mirrors your epistemology focus.

Michael G. Sherbert

Michael G. Sherbert is a postdoctoral fellow at Queen's University (connected to the Connected Minds program) whose research significantly aligns with critical AI studies, focusing on repositioning Artificial Intelligence through Indigenous relational epistemologies. His work challenges Eurocentric, extractive views of technology, arguing that AI is not neutral but reflects underlying ideologies.

The Queen's Journal

Key Alignments with Relational AI & Epistemology

• Relationality vs. Extraction: Sherbert argues for AI to be rooted in relationships and community-governed systems rather than data extraction, aligning with a "relational AI" thesis.

• Indigenous Epistemologies: He explores how AI can support the preservation, education, and expansion of cultural traditions within the Algonquins of Pikwàkanagàn First Nation and other Indigenous communities.

• Critique of Hegemonic Tech: His work, including Deconstructing Transhumanism: A Religion Without Religion (2025), examines how mainstream AI and tech narratives inherit, and often mask, Western religious and colonial desires for mastery and control.

• Disability and AI: Sherbert examines AI through a disability justice lens, challenging ableist assumptions of "sovereign mastery" and framing AI as a potential agent of transformation for interdependence. 

ibftoday.ca

Connections to Anthropic Interests

While there is no direct public record of collaboration, Sherbert's focus on non-extractive AI, community-governed data, and ethical AI development mirrors key interests of AI alignment researchers and Anthropic's Societal Impacts team: 

Anthropic

• Anthropic Societal Impacts Team: Focuses on the real-world effects of AI, including mitigating "inconvenient truths" and ensuring AI is safe and beneficial.

• Alignment/Relational Focus: Sherbert’s advocacy for centering human responsibility and lived judgment over fixed, opaque algorithms matches the goals of developing steerable, human-centric models.

• Indigenous Perspectives on AI Safety: The broader field of Indigenous AI, which Sherbert contributes to, emphasizes data sovereignty and preventing digital colonialism, areas that intersect with AI safety, fairness, and accountability. 

Anthropic

Sherbert’s approach offers a critical counterpoint to dominant Silicon Valley narratives, focusing on care, accountability, and community-based AI governance.

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