mkgerchick.bsky.social
She/her. Data Science Manager and Algorithmic Justice Specialist at ACLU. Personal account.
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The role is paid, open to graduate and undergraduate students, and available for remote or hybrid work from our NYC or DC office. The priority application deadline is February 25 — please share widely!
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This is a unique opportunity to conduct applied research (our team regularly publishes at conferences like ACM FAccT, for instance) that will shape our approach to leveraging emerging technologies in line with our values.
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Projects will be tailored to the intern’s skillset and interests, and could range from adapting cutting edge research on bias testing of large language models (LLMs) to develop a model-agnostic testing and evaluation toolkit, to conducting a landscape analysis of open weight model offerings.
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For this position, we welcome applicants with backgrounds in technical fields (e.g., engineering, ML, AI, NLP, statistics) and applicants with backgrounds in sociotechnical fields (e.g., history of science, history of technology, HCI, information science, science and technology studies, sociology).
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We believe this body of work will help us begin to incorporate this technology into our work so that it creates, rather than risks or diminishes value. For more info, read about our approach and follow @techforimpact.bsky.social @bmad.bsky.social!
technicallyoptimistic.substack.com/p/procedures...
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To stay up to date with emerging research in this area, we formed a reading group open to anyone at the ACLU—including staff at our 54 affiliates across the country—that shares and discusses emerging research about gen AI (including research papers, model cards, articles, and other explainers).
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To operationalize the principles, we created a product focused on procurement of Gen AI tools: a seven-page questionnaire that covers risks related to security, privacy, bias, copyright and accuracy. We ask vendors to explain what they’re doing with gen AI and hold them accountable to their answers.
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Our Generative AI Working Group produced a principles and guidelines resource to help staff assess the potential benefits and risks of gen AI technologies, as well as easy-to-follow guidelines for business problems that staff may want to solve using gen AI.
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The Working Group’s focus has been to develop principles and guidelines for ACLU’s approach to gen AI, and to apply those principles to our procurements in practice — including what we call “trojan horse” generative AI — when gen AI features are incorporated into our existing software.
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Our focus when it comes to gen AI has been to balance the need to innovate while maintaining our values (e.g., privacy, fairness, etc.). Shortly after the release of chatGPT, we formed a Generative AI Working Group within ACLU, with members from our Tech Team, Privacy, HR, Counsel, and others.
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Thank you for these very kind words and for sharing!
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Thank you so much for sharing!