My research is focused on utilization of machine learning to predict disease, gender and computing, AI ethics and governance of AI.
I work on the IEEE P7000 Global Initiative on the Ethics of Autonomous and Intelligent Systems and specifically P7003 on algorithmic bias, providing a framework for Algorithmic Impact Assessments. I am a co-founder of Women Leading in AI and speak nationally on AI Ethics, machine bias and the need for diversity and regulation in the field of AI. I have also acted as a consultant for a variety of companies on AI Ethics, algorithmic bias and diversity in tech.
- Curious Kids: who is Siri?
- Medical AI can now predict survival rates – but it’s not ready to unleash on patients
- Don’t write off government algorithms – responsible AI can produce real benefits
- Contact-tracing apps: there’s no evidence they’re helping stop COVID-19
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