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Alexis Wichowski, PhD

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Professor of Professional Practice and Program Director, Columbia University

Alexis Wichowski works, teaches, and writes on technology, government, and power. She currently serves as Professor of Professional Practice at Columbia University's School of Professional Studies as well as Program Director at ColumbiaTech, the university's newly relaunched MS and Exec MS programs in Technology Management. She also serves as an affiliate with Columbia's School of International & Public Affairs, where she taught as an adjunct for over a decade. Her public service work focuses on technology in government, digital communications, and tech policy. Prior roles include Deputy Chief Technology Officer for the City of New York, Associate Commissioner for NYC's Department of Veterans' Services, and various roles within the US Department of State and the US Mission to the United Nations. Past life work includes disaster relief, literary translation, media impact research, indexing, coding, theater production, and pretzel vending. Wichowski holds a PhD in Information Science from SUNY Albany and a BA in Chinese from Connecticut College, completed in three years.

Bio from: Data Universe 2024

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Every algorithm in tech reflects hidden priorities of behinds-the-scenes powers, namely tech’s founders and funders. Even small biases introduced in a technology’s founding code base can proliferate into full-blown injustices when brought to scale, making the early priorities of founders and funders all the more significant. To ensure founders and funders prioritize ethical considerations when building tomorrow’s tech, we must first understand why they weren’t prioritized before. This is the purpose of this talk: to explore how early web coder culture and its devout embrace of meritocracy – celebrating programming skills over prestigious degrees; peer collaborations over hierarchies -- effectively banished the idea that the digital era's new “gods” – tech’s founders and funders – might actually be the same as those of our analogue past: a tiny slice of almost exclusively those born into substantial social privilege and intergenerational wealth. From this context, the talk details how tech’s "No Gods” problem continues to quietly fuel algorithmic bias and block meaningful progress on prioritizing ethical algorithms, despite what may very well be the best of intentions to do better among all involved. The talk concludes with concrete ways to course correct for future tech development, starting with diversifying the pool of founders and founders to reflect a broader range of lived experiences.