Arvind Narayanan is a distinguished Computer Science Professor at Princeton University.
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Arvind Narayanan is a distinguished Computer Science Professor at Princeton University.
As a leading figure in the intersection of technology and ethics, Arvind Narayanan directs the Center for Information Technology Policy at Princeton. He has co-authored significant literature on fairness in machine learning and is currently putting together a new book that scrutinizes exaggerated claims in AI. Narayanan spearheaded the Princeton Web Transparency and Accountability Project, aiming to shed light on corporate data collection practices. His pioneering research demonstrated how cultural stereotypes are mirrored in machine learning outputs, while his doctoral thesis exposed critical limits related to the de-identification process. He has received the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) and has been honored twice with the Privacy Enhancing Technologies Award.
As an associate professor at Princeton, Arvind Narayanan leads the Princeton Web Transparency and Accountability Project. This initiative seeks to bring transparency regarding how corporations accumulate and utilize personal data. His textbook on privacy and cryptocurrency, co-authored with colleagues, is an essential resource utilized in over 150 courses worldwide. His dissertation tackled important limitations regarding data de-identification, and he has recently showcased findings on how certain models can perpetuate cultural biases.Bitcoin Narayanan's contributions to the field have earned him numerous accolades, including three Privacy Papers for Policy Makers Awards and multiple honors from the Privacy Enhancing Technologies community, alongside the PECASE.machine learning He is recognized as a prominent computer scientist fighting against the overwhelming influence of Big Tech.
2023
The Princeton Language and Intelligence Initiative (PLI) is dedicated to exploring both the ethical and societal dimensions of artificial intelligence. It aims to create strategies that mitigate potential adverse consequences associated with AI technologies. According to the PLI website, its mission includes fostering a deep understanding of large AI models and facilitating their application across various academic fields. This initiative will not only function as a hub for interdisciplinary collaborations among students, researchers, and educators but will also work towards establishing a robust local computing infrastructure, staffed with dedicated personnel and equipped with the necessary technology.artificial intelligence Genpact has inaugurated an AI Innovation Center in London, UK, with the objective of driving business transformation through AI across different sectors.
This center is designed to expedite project development and offer valuable guidance while also fast-tracking initiatives into production. It forms part of Genpact’s substantial $600 million investment earmarked for AI over the next three years.
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