This projects creates a maturity model for AI governance, based on the NIST AI Risk Management Framework. The model includes a questionnaire for evaluating and improving  social responsibility of AI governance at organizations that develop or deploy AI.

This project analyzes trends in AI regulation efforts in the US. It does so through identifying and analyzing federal AI bills, state AI bills, and AI executive orders. 

This report analyzes companies’ AI governance based on the information they publicly provide. Our data includes 254 companies

This guidebook establishes a workflow investors can use to evaluate AI-enabled companies during due diligence, monitor existing portfolio companies, and support the portfolio companies in improving their AI responsibility. 

I have reviewed 60+ resources for procuring AI responsibly in public administrations, synthesized them into a unified list of recommendations, and identified gaps. The paper is coming soon!

Bria.ai is a generative AI startup. My work as Responsible AI Advocate spans all departments, including R&D, HR, and marketing.

This project developed a method for organizations to identify which stakeholders they impact, which rights of these stakeholders are impacted, and what the organization can do to address the impacts.

This project identifies how faculty currently uses generative AI at a major US university, maps an array of potential use cases for faculty and staff, and proposes practices for mitigating risks and maximizing the benefits of using generative AI in higher education.

I create content to raise awareness of AI ethics topics. You can find this content on the Resources page and on my LinkedIn page. 

I post regularly with resources, news, and analysis of current events in AI ethics. Follow me!