Led comprehensive AI ethics and governance initiatives as VP of Marketing at an AI-driven healthcare technology company, establishing industry-recognized frameworks while supervising clinical data annotation teams and contributing to the company's growth from Seed to Series A funding ($8.07M). Created company-wide AI Principles centered on enhancing human capabilities, respecting privacy, ensuring fairness, and preventing harm, while developing Mission, Vision, and Values statements emphasizing science-backed AI solutions.

As Clinical Team Lead, supervised a 12-person qualitative research team conducting systematic annotation of conversational data with focus on bias mitigation and ethical guidelines. Established quality control processes for data annotation and collaborated with engineering teams to ensure AI technologies met clinical standards and regulatory requirements.

Contributed to annotation guidelines emphasizing representativeness and diversity in training data to reduce demographic biases in AI systems. Advocated for transparency in AI decision-making processes and designed documentation protocols for model training methodology, translating complex AI concepts for diverse stakeholders including investors, healthcare providers, and regulatory bodies.

Key outcomes: Company featured on The Responsible AI Report podcast, listed in Ethical AI Database as industry example, team awarded Fierce 50 Health Equity Honoree recognition, and positioned company as thought leader in ethical AI space through strategic content marketing and stakeholder communication.

• Recognition: [Fierce 50 Health Equity Honoree (teammate)] | [Ethical AI Database 2024] | [Women in AI Ethics List (self and teammates)] | [The Responsible AI Report podcast]

• Framework: View AI Principles

• Links: Read all blog articles

• Skills demonstrated: AI governance, clinical standards implementation, team leadership, stakeholder communication, industry positioning