AI Ethics Leadership in HealthTech

At mpathic, an AI-driven healthcare technology company, led comprehensive AI ethics and governance initiatives as both VP of Marketing and Clinical Team Lead. Developed industry-recognized frameworks that positioned the company as a responsible innovator while supervising clinical data annotation teams to ensure fairness and bias mitigation in conversational AI.

Created company-wide AI Principles centered on enhancing human capabilities, respecting privacy, ensuring fairness, and preventing harm. Contributed to annotation guidelines emphasizing representativeness and diversity in training data, established quality control processes for clinical annotation, and collaborated with engineering teams to ensure AI technologies met both clinical standards and regulatory requirements.

Led stakeholder communications around sensitive AI development topics, translating complex technical concepts for investors, healthcare providers, and regulators. Managed external communications during product development phases and partnered with leadership on messaging strategy for industry presentations, policy discussions, and regulatory forums.

Key outcomes: Positioned mpathic as a thought leader in responsible AI, securing podcast features, database inclusion, and industry recognition while advancing transparency in discussions of AI bias in healthcare. Efforts strengthened stakeholder trust, broadened industry influence, and demonstrated how governance frameworks can be operationalized in practice.

Previous

The Caffeinated Chronicle: Independent Analysis on Policy & Tech
Next

Strategic Brand Campaign Highlights