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Science and Science Communication in the Age of Large Language Models

Science and Science Communication in the Age of Large Language Models   Artificial Intelligence (AI) is emerging as a transformative force in scientific research and communication, with seemingly limitless potential applications. Recent advances in large language models (LLMs) have particularly encouraged researchers to explore their applications in their own work. Fields such as Medicine and […]

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Chitresh Saraswat

[ Chitresh Saraswat ] Send E-Mail Chitresh Saraswat is a doctoral scholar and interdisciplinary researcher in the Fenner School of Environment & Society, Australian National University, Canberra, Australia. Trained as an environmental geographer (water sustainability) and computer scientist, his research interests straddling water governance, innovation, and sustainability transitions. His primary research focuses on the role of

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Resource – 2

Resources RI-Lab Resources Here we share RI-Lab resources  Video Video coming soon Global Resources This is an online library of publications, videos, podcasts, and other useful resources related to responsible innovation. Video Podcast Article Report Video Fostering responsible innovation  |  A Conversation with Google’s CEO Sundar PichaiThe case for responsible innovation  |  David GustonHow to

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Course – 2

training Responsible Innovation approaches enable professionals, companies and governments to anticipate social and ethical issues and integrate them into the innovation and design processes and policy-making right from the beginning.​   Professional Practice 1 (COMP6250 / ENGN6250) Course Convenor | Dr Ehsan Nabavi   This is a graduate course offered by the ANU School of Engineering.

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News – 2

News Educating the engineers of the future Responsbile AI Forum 2021 Our Lab member, Dr Kobi Linse publishes book on ‘Weaponising Nanomaterials’ Call for paper on Responsible modelling and simulation (MODSIM 2021) Found something interesting ? Share it with your friends and colleagues

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AI innovation is more of a social and political issue than an engineering one

AI innovation is more of a social and political issue than an engineering one Email Twitter Facebook Linkedin [USM_form] In our age of computers and satellites, our sense of both urgency and fear has become central to the process of addressing social and environmental challenges. This sense of necessity for urgent action can be seen

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