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“Knowledge discovery in large image databases: dealing with uncertainties in ground truth” P. Smyth, M. Burl, U. M. Fayyad, P. Perona, in Advances in Knowledge Discovery and Data Mining, U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurasamy (eds.), AAAI/MIT Press, pp.517– 539, (1996).
Why We Need Responsible AI, newsletter by the Institute for Experiential AI (EAI) at Northeastern University, May 1, 2023
Is ‘generative’ AI the way of the future? Northeastern expert explains the upside of new models, the need for human involvement. Northeastern University symposium, April 25, 2023
Generative AI: How to Keep AI Human-Centric & Productive in the ChatGPT Era
AI 50 2023 Methodology: Our New, Improved Process For Selecting Honorees
Experiential AI for Finance Leaders. Webinar, held by the Institute for Experiential AI (EAI), Northeastern University on April 5, 2023