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Text of the page (random words):
ning new methods i use tools from a wide range of fields including machine learning statistics game theory causal inference and information theory to tackle research questions i believe in picking the right research questions first then using the right tools to answer them the goal of my research is to better design understand and govern ai and automated systems as a consequence i also have a strong interest in law policy ethics and philosophy recently i have written on reducing information resource gaps in ai accountability the regulation and auditing of social media algorithms the emergence of ai supply chains the estimation of counterfactual potential outcomes under spillover effects how competing for resources under uncertainty affects long term outcomes and individual level rights of data driven decision subjects check out a website that i just released with colleagues at stanford on the ai supply chain it features a massive dataset on relationships in the ai industry that will be updated weekly building on past work here and here on the ai supply chain i recently finished my postdoc at stanford hai where i had an amazing time working with percy liang in computer science and daniel e ho in the law school s reglab before that i completed my phd at mit eecs under the wonderful mentorship of aleksander mądry and devavrat shah my master s at oxford with paul newman and my undergraduate at princeton with naomi leonard if you re interested in thinking about these interdisciplinary problems together please reach out at sarahcen dot research at gmail dot com p s if you are an under represented minority in stem don t count yourself out i have been in your shoes and self selection effects are real please find my always slightly out of date c v here cv selected presentations adapting for ai slides presented at icml workshop on responsible foundation models jul 2025 brown s ai policy summer school jul 2025 kit march 2025 columbia s frontiers of ml seminar feb 2025 northeastern s network science institute feb 2025 access and evidence in ai auditing slides presented at eaamo 24 october 2024 my thesis paths to ai accountability through design measurement and regulation slides gave my thesis defense august 2024 a game theoretic perspective on trustworthy data driven algorithms slides presented at the 2024 conference on economics and computation ec 24 2023 informs annual meeting in the session on fairness in platforms and recommendations icml workshop on responsible decision making in dynamic environments july 2022 and simon s institute for theory of computing s workshop on ai amp humanity july 2022 network synthetic interventions a causal framework for panel data under network interference slides presented in the session on decisions under not so perfect data at the 2023 informs annual meeting the right to be an exception to a data driven rule manuscript slides presented at the privacy law scholars conference june 2022 the harvard ethical issues in computing amp ai conference june 2022 and the mit ai ethics reading group regulating algorithmic filtering on social media manuscript slides poster presented as a spotlight at neurips december 2021 lids student conference january 2022 and received best student presentation lids stats amp tea talk april 2021 and stanford gsb rising scholars conference october 2020 regret stability and fairness in matching markets with bandit learners manuscript slides poster presented as poster at aistats march 2022 and as a lids stats amp tea talk may 2021 making online platforms fit for humans presented as a thriving star of ai at mit may 2022 education massachusetts institute of technology ph d in electrical engineering and computer science thesis ai accountability advised by aleksander mądry and devavrat shah 2024 university of oxford m sc by research in engineering science thesis radar only ego motion estimation and localization advised by paul newman 2018 princeton university b s e in mechanical engineering certificates in 1 computer science and 2 robotic amp intelligent systems thesis optimal leader selection for dynamic networks modeled as markov jump linear systems advised by naomi leonard received top senior thesis in princeton school of engineering applied sciences top thesis in mechanical engineering aerospace engineering top student in mechanical aerospace engineering 2016 honors mit eecs thriving star speaker at the thriving stars of ai research summit 2022 best student talk lids student conference 2022 hugh hampton young fellowship mit award for academic achievement amp character 2020 chyn duog shiah fellowship awarded to one mit engineering student 2020 ida m green fellowship awarded to eight mit graduate women 2018 edwin s webster fellowship mit eecs award 2018 sachs oxford scholarship funds one princeton student to study at univ of oxford 2016 top thesis princeton university school of engineering amp applied sciences 2016 top thesis princeton university department of mechanical engineering 2016 top academic performance princeton university department of mechanical engineering 2016 graduate with highest honors princeton university 2016 phi beta kappa sigma xi and tau beta pi honor societies 2016 palantir scholarship for women in engineering finalist 2015 best presentation award university of pennsylvania grasp reu 2014 grace hopper celebration poster scholarhsip 2014 top 3 percent of class princeton university shapiro prize for academic excellence 2014 research for most up to date list of publications see google scholar publications and pre prints first author contribution s h cen hannah ismael lucia zheng barriers to evidence in ai related cases and the privatization of proof under review at facct 2026 s h cen a ilyas h driss c park a k hopkins c podimata and a mądry longitudinal study of large language models during the 2024 us elections in preparation for submission 2025 r bommasani s r singer r e appel s h cen a f cooper l a gailmard i klaus m m lee i d raji a reuel d spence a wan a wang d zhang d e ho p liang d song j e gonzalez j zittrain j t chayes m f cuellar l fei fei the california report on frontier ai policy 2025 s h cen s goyal z javed a karthik p liang and d e ho audits under resource data and access constraints scaling laws for less discriminatory alternatives submitted to the conference on neural information processing systems neurips 2025 a k hopkins s h cen a ilyas i struckman l videgaray and a mądry ai supply chains an emerging ecosystem of ai actors products and services aaai acm conference on ai ethics and society aies 2025 s h cen and r alur from transparency to accountability and back a discussion of access and evidence in ai auditing acm conference on equity and access in algorithms mechanisms and optimization eaamo 2024 a agarwal s h cen d shah and c l yu network synthetic interventions a causal framework for panel data with network interference revise resubmit to operations research 2023 s h cen a ilyas j allen h li d g rand and a mądry measuring strategization in recommendation users adapt their behavior to shape future content acm conference on economics and computation ec 2024 major revision at management science s h cen a ilyas and a mądry user strategization and trustworthy algorithms acm conference on economics and computation ec 2024 s h cen a mądry and d shah a user driven framework for regulating and auditing social media pre print 2023 c zhang s h cen and d shah matrix estimation for individual fairness international conference on machine learning icml 2023 s h cen a ilyas and a mądry a game theoretic perspective on trust in recommendation responsible decision making in dynamic environments workshop at international conference on machine learning icml 2022 oral s h cen and m raghavan the right to be an exception to a data driven rule pre print 2022 j perolat b de vylder d hennes s h cen et al mastering the game of stratego with model free multiagent reinforcement learning science 2022 s h cen and d shah regret stability and fairness in matching markets with bandit learners international conference on artificial intelligence and statistics aistats 2022 s h cen and d shah regulating algorithmic filtering on social media conference on neural information processing systems neurips 2021 spotlight s h cen and p newman radar only ego motion estimation in difficult settings via graph matching ieee international conference on robotics and automation icra 2019 r weston s h cen p newman and i posner probably unknown deep inverse sensor modelling in radar ieee international conference on robotics and automation icra 2019 s h cen and p newman precise ego motion estimation with millimeter wave radar under diverse and challenging conditions ieee international conference on robotics and automation icra 2018 s h cen v srivastava and n e leonard on robustness and leadership in markov switching consensus networks ieee conference on decision and control cdc 2017 blogs amp media 3 blog series on ai accountability transparency forthcoming authors sarah h cen cosimo l fabrizio aleksander mądry martha minow and james siderius making sense of ai risk scores auditing ai how much access is needed to audit an ai system ensuring an adequate mechanism of relief for ai induced harms a public health approach to ai regulation 2 blog series on ai deployment and ai supply chains authors sarah h cen aspen hopkins andrew ilyas aleksander mądry isabella struckman and luis videgaray read the full report here we need to talk about ai deployment ai supply chains and why they matter who will provide ai to the world downstream ai products benefit and suffer from access to upstream ai 1 blog series on social media regulation authors sarah h cen andrew ilyas and aleksander mądry social media platforms the information exchange they run what s to know about regulating social media in the us why can t we regulate social media like previous media regulating social media lessons from existing regulation august 2022 lance eliot wrote a column in forbes titled ai ethics fighting passionately for your right to be an exception based on my paper the right to be an exception to a data driven rule with manish raghavan july 2022 i was honored to give a talk at the simons institute for the theory of computing on the design and governance of human facing algorithms at the workshop for ai and humanity may 2022 i was lucky enough to have mit news feature my research in the article living better with algorithms by grace chua may 2022 i am grateful to have been selected as a thriving star of ai at mit december 2021 my paper on regulating algorithmic filtering on social media written with devavrat shah was featured as a spotlight at neurips 2021 may 2019 my paper on radar only ego motion estimation in difficult settings via graph matching written with paul newman was presented at icra 2019 may 2018 my paper on precise ego motion estimation with millimeter wave radar under diverse and challenging conditions written with paul newman was presented at icra 2018 experience postdoctoral researcher stanford hai computer science and the law school working with prof daniel e ho and prof percy liang 2024 present research intern deep mind advised by prof karl tuyls devised new techniques to build an ai agent for imperfect information games such as stratego developed methods to analyze the game play and interpret the actions of the ai agent 2016 2018 researcher b s e at princeton university dynamical control systems lab advised by prof naomi leonard derived novel metrics quantifying the robustness of consensus and the reference tracking accuracy of dynamic leader follower networks modeled as markov switching graphs with ph d student bounded regret of optimal fully informed multi armed bandit 2014 2016 research intern at mit lincoln laboratory space systems and technology division supervised by dr yaron rachlin applied tools from signal processing computer vision and statistical inference in order to reconstruct high quality satellite images from noisy low quality ones 2015 research intern at upenn grasp lab multi robot systems lab advised by prof vijay kumar implemented the autonomous tracking and landing of a quadrotor on a moving ground vehicle programmed and tested flight controller motion tracker and extended kalman filter 2014 software development intern at wattvision real time energy monitoring systems supervised by savraj singh designed and implemented new user interfaces uis for both the mobile and web sites repaired bugs maintained website backend and integrated external hardware 2013 ph d student at mit eecs description close m sc student at univserity of oxford description close researcher at princeton university description close research intern at mit lincoln laboratory description close research intern at upenn grasp description close software development intern at wattvision description close recent talks simons collaboration on the theory of algorithmic fairness annual meeting nbsp nbsp february 2026 yale social algorithms conference nbsp nbsp october 2025 informs annual meeting nbsp nbsp october 2025 machine learning and economics summer conference nbsp nbsp august 2025 icml workshop on responsible foundation models nbsp nbsp july 2025 brown s ai policy summer school nbsp nbsp july 2025 far ai technical innovations for ai policy nbsp nbsp june 2025 kit nbsp nbsp march 2025 inria nbsp nbsp march 2025 columbia s frontiers of ml seminar nbsp nbsp february 2025 northeastern s network science institute nbsp nbsp february 2025 facct tutorial on algorithmic auditing and generative ai nbsp nbsp 2025 informs annual meeting session on online marketplaces incentives nbsp nbsp 2025 the national academies of sciences engineering and medicine s committee on science technology and law disinformation workshop nbsp nbsp 2025 cornell tech digital life initiative dli nbsp nbsp 2024 informs annual meeting session on fairness in platforms recommendation nbsp nbsp 2024 informs annual meeting session on decisions under not so perfect data nbsp nbsp 2024 university of california san diego ucsd computer science nbsp nbsp may 2024 johns hopkins university jhu computer science nbsp nbsp april 2024 yale university computer science nbsp nbsp april 2024 university of chicago booth school of business nbsp nbsp april 2024 university of waterloo computer science nbsp nbsp april 2024 carnegie mellon university cmu electrical computer engineering nbsp nbsp march 2024 georgia institute of technology computer science nbsp nbsp march 2024 university of southern california electrical computer engineering nbsp nbsp march 2024 carnegie mellon university engineering public policy nbsp nbsp february 2024 university of pennsylvania computer science nbsp nbsp february 2024 northwestern university computer science nbsp nbsp february 2024 max planck institute for software systems nbsp nbsp february 2024 harvard business school hbs nbsp nbsp january...
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