I developed a handbook for investing in data and AI companies. You can download it here. It contains s due diligence workflow that helps evaluate risks, determine investment eligibility, and plan how to support portfolio companies. 

​

​

You can find the handbook here

I am leading a group of 14 researchers working to understand how companies can improve the responsibility of their AI governance. We are creating empirically-based and practical insights to empower tech companies and anyone who evaluates tech companies externally, such as investors, insurers, and buyers of AI.

​

This work is supported by the Notre Dame-IBM Tech Ethics Lab and The Center for Governance and Markets at the University of Pittsburgh.

The goal of this project is to create practical tools for the responsible procurement of AI, such as template additions to RFPs and contracts. 

​

This work is supported by Pitt Cyber and The Center for Governance and Markets at the University of Pittsburgh.

I lead all aspects of responsible AI efforts in Bria.ai, a generative AI startup. My work spans all departments, including R&D, HR, sales, operations, and marketing.

Bria's platform can generate, change, and repurpose, and search through image. The company’s customers are agencies and creative platforms.

I am the co-founder and director of the Collaborative AI Responsibility (CAIR) Lab, as a postdoc at the Center for Governance and Markets at the University of Pittsburgh.

CAIR's mission is to empower organizations to work with AI in socially responsible ways, including developing, using, buying, and investing in AI responsibly. We do this by bringing together diverse stakeholders –  such as tech companies, investors, public administrators, and academics – and collaboratively creating actionable research and resources that can help govern AI in ways that mitigate potential harm and harness AI for social good.

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