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Kem-Laurin Lubin

“AI Systems are not just technical artifacts; they embody the biases and power dynamics of the societies that create them. Without critical interrogation, technologies heralded as tools of progress can become mechanisms of oppression.”

Doctoral Candidate

Kem-Laurin Lubin, PhD candidate, specializes in computational rhetoric, with a focus on the intersection of emerging technologies, human agency, and the societal implications of artificial intelligence and data-driven systems. Her research critically examines how technology can either empower or marginalize individuals, emphasizing the need for equitable, human-centered approaches to AI design, including her development of ethotic heuristics—a framework that addresses the character representation and dignity of individuals in and by technological systems.

Lubin brings extensive professional experience to her work, having held leadership roles in design and innovation at multinational corporations. This combination of professional expertise and academic insight equips her with a nuanced understanding of complex global organizations and informs her efforts to bridge the gap between technological development and ethical practice.

Her forthcoming book, Design Heuristics for Emerging Technologies: AI, Data, & Human-Centered Futures – Considerations for the Rights of Women, reflects her commitment to exploring how technology can be designed to respect and enhance human agency while addressing broader societal impacts.

As an expert in computational rhetoric, ethotic heuristics, and design research, Lubin continues to advance the fields of AI ethics and human-centered technology, influencing both academic scholarship and industry practices

The Author’s Voice

“Ethotic heuristics serve as a critical meta-framework designed to counteract the misrepresentation and dehumanization embedded in technological systems. Grounded in intersectional and feminist principles, this approach emphasizes the moral obligation of designers and policymakers to ensure that AI systems are ethical, equitable, and inclusive. By addressing systemic biases in data collection, modeling, and deployment, ethotic heuristics prioritize dignity, agency, and diversity—championing the creation of technologies that empower rather than exploit. This is particularly urgent in a post-Roe era, where the intersection of AI, privacy, and women’s health demands systems that honor transparency, accountability, and justice, actively dismantling mechanisms of surveillance and marginalization.”

Kem-Laurin Lubin

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