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Diversity, Equity, & Inclusion

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Oren Etzioni, CEO

A statement from our CEO:

“AI2’s mission to contribute to humanity through high-impact AI research and engineering can only be achieved through the inclusion of diverse perspectives. We strive to make diversity, equity, and inclusion a cornerstone of our work and culture, and we're proud of our progress to date. As with any complex initiative, we still have work to do—we're committed to listening, learning, and refining our efforts to enrich our work and our team.”

Oren Etzioni, CEO

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Our commitment to diversity

At AI2, we are committed to fostering a diverse, inclusive environment within our institute, and to encourage these values in the wider research community. A diverse group of employees brings a variety of perspectives that encourage novel ideas and new approaches oriented at the data and challenges present in AI research.

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team members gathered on a couch

Supporting a diverse team

AI2 has a Diversity, Equity, and Inclusion Council that is open to any team member from across the organization. We meet regularly and make active progress across several initiatives to support DEI both internally and externally.

For our team at AI2, we offer:

  • • A fair and employee-empowering review process
  • • Generous tuition and professional membership reimbursements
  • • Strong support for employees who need assistance attaining visa sponsorship
  • • Financial support for childcare requirements during business travel
  • • Paid parental and maternity leave for birth, adoption, or fostering
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AI2 also supports DEI-related initiatives in the wider community
students at Grace Hopper
We sponsor the annual Grace Hopper Celebration
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We partner with (and hire from) the Ada Developer Academy
scholarship winners
We offer the annual Allen AI Outstanding Engineer Scholarship for Women and Underrepresented Minorities
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Shining a light on DEI challenges through research

AI2’s nonprofit status and unique mission of AI for the Common Good allow us to provide our team members the autonomy and support to pursue projects related to diversity and inclusion.

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Adversarial Removal of Gender

Mark Yatskar, a Young Investigator at AI2, has published multiple works concerning gender bias and amplification in machine learning datasets, including Adversarial Removal of Gender from Deep Image Representations by Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, and Vicente Ordonez.

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chart of studies by sex-bias
Quantifying Sex Bias

The Semantic Scholar team actively explores meaningful meta analyses of scientific literature, recently quantifying the problematic sex bias present in clinical studies in their study Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction by Sergey Feldman, Waleed Ammar, Kyle Lo, Elly Trepman, Madeleine van Zuylen, and Oren Etzioni.

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Fairness

AI2’s AI & Fairness and Green AI initiatives are specifically focused on utilizing our AI expertise to make positive, tangible impacts on societal and environmental issues.

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