Events

CENTER DIRECTOR GORDON HULL “PERSONALLY SPEAKING” TALK

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More info and registration here

ETHICAL APPROACHES TO WORKING WITH REFUGEES

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Movers & Shapers, Facaulty of Health and Sciences, Quadrangle, CPC

EQUITY THROUGH REVLEXIVITY: A CONVERSATION WITH SEYE ABIMBOLA

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April 21, 4:00pm EDT: Equity through Reflexivity: A Conversation with Seye Abimbola (Senior Lecturer, Public Health, Univ.  of Sydney, Prince Claus Chair in Development and Equity at Utrecht Univ., Editor-in Chief of BMJ Global Health) –> Zoom Registration: https://uncc.zoom.us/meeting/register/tJMscOCqrDMpEtUBNOgidoNyuXR3KHbBH0RF Abstract: “Parachute science” occurs when researchers from high-resource countries “drop in” at a lower-resource research location, conduct research, and publish […]

KAREN LEVY, “ROBOTRUCKERS: THE DOUBLE THREAT OF AI FOR LOW WAGE WORK”

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April 6, 1:00 EDT: Karen Levy (Asst. Prof. Sociology and Associate of the Law School, Cornell Univ.) presents as part of our series on Bias in AI, on “Robotruckers: The Double Threat of AI for Low Wage Work” –> Zoom Registration: https://uncc.zoom.us/meeting/register/tJEuf-6qrjIiE9KOLvp3AsLo0lJozZ_z5ZYn Abstract: Much attention has been paid to the risk artificial intelligence poses to employment, particularly in low-wage industries. The question […]

NGOZI OKIDEGBE, “DISCREDITED DATA”

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March 23, 1:00 ET: Ngozi Okidegbe (Asst. Prof. Law, Cardozo School of Law), presents as part of our series on Bias in AI, on “Discredited Data” –> Zoom Registration: https://uncc.zoom.us/meeting/register/tJMoceytrzwoHdQZtSi0WBPMkpdQVkH_5lYC Abstract: Jurisdictions are increasingly employing pretrial algorithms as a solution to the racial and socioeconomic inequities in the bail system. But in practice, pretrial algorithms have reproduced the very inequities they were […]

JOHN HUME IN AMERICA

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Of interest: The Office of the Honorary Consul of Ireland & the University of North Carolina Charlotte’s Philosophy Department present a film screening of “John Hume in America” with a conversation with the director. Free and open to the pubilc.

NICOLA MULDER, “CHALLENGES IN LARGE-SCALE GENOMICS RESEARCH IN AFRICA”

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Feb. 15 (Tuesday) at 10:00 EST: Nicola Mulder (Prof. and Head of Computational Biology (CBIO) division, Univ. Cape Town): “Challenges in Large-Scale Genomics Research in Africa” –> Zoom Registration: https://uncc.zoom.us/meeting/register/tJAkfuqtrjwsHdc1wfazxN9tfydlbVbArli4  Abstract: Genomics research has enormous potential for addressing several of the sustainable development goals, including health and well-being. With ever-evolving technologies, data generation is becoming cheaper and thus more […]

ALEX HANNA, “BEYOND BIAS: ALGORITHMIC UNFAIRNESS, INFRASTRUCTURE, AND GENEALOGIES OF DATA”

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Nov 30, 12:00 ET: Alex Hanna (Sr. Research Scientist in Ethical AI, Google) presents as part of our series on Bias in AI, on “Beyond Bias: Algorithmic Unfairness, Infrastructure, and Genealogies of Data” –> Zoom Registration: https://uncc.zoom.us/meeting/register/tJIoceGsqjsjG9BBxUSxl4Yo0XsMk1iPp_7g Abstract: Problems of algorithmic bias are often framed in terms of lack of representative data or formal fairness optimization constraints to be applied […]

REFILOE MASEKELA, “GLOBAL HEALTH: IS THERE A WAY TO RIGHT THE WRONGS?”

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Nov 9 (Tuesday), 9:00am ET:  Refiloe Masekela (Head Dept. Pediatrics and Child Health, U. KwaZulu Natal, Durban South Africa) presents as the first speaker in our series,  presents as part of our series, African Access to Global Research Funding, on “​​Global health: is there a way to right the wrongs? —> Zoom Registration: https://uncc.zoom.us/meeting/register/tJUvcO-tqDgjGdwMFBN-CTe4_zDFYowyhJ2t  Abstract: Global health has been defined as an […]

SERENA WANG, “PROMISES AND PITFALLS OF MACHINE LEARNING FOR EDUCATION”

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Oct. 28 (Thursday), 12:00: Serena Wang (PhD Candidate, UC Berkeley) presents as part of our series, Biased AI, on Promises and Pitfalls of Machine Learning for Education —> Zoom Registration: https://uncc.zoom.us/meeting/register/tJ0lcO6pqDIiGNa0xqhRX6WOZuRaiBnoThKd  Abstract: Machine learning (ML) techniques are prevalent in the education sphere, from their use in MOOCs, to admissions, to predicting student dropout. Recently, public institutions faced controversy for high-profile applications such as […]