Topic

Data & Analytics

Bias-Busting Algorithms: Can AI Help VCs Diversify their Deals?

Studies show that gender bias in the venture capital (VC) industry hurts both female founders and has negative financial consequences for VC firms. Darden Professors Morela Hernandez and Roshni Raveendhran show how algorithm-aided, data-driven approaches can help investors mitigate bias and make better and more equitable funding decisions.

Studies show that gender bias in the venture capital (VC) industry hurts both female founders and has negative financial consequences for VC firms. Darden Professors Morela Hernandez and Roshni Raveendhran show how algorithm-aided, data-driven approaches can help investors mitigate bias and make better and more equitable funding decisions.

Story Type
Article

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Press Contact

Molly Mitchell

Senior Associate Director, Editorial and Media Relations

Roshni Raveendhran

Assistant Professor of Business Administration

Raveendhran’s research focuses on how new technologies influence business practices, the integration of novel technologies into the workplace and how organizations can improve HR management practices to address the changing nature of work.

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