All typesAcademic paperBlogpostBriefingLearning resourceReportVideoAll topicsArtificial intelligence (AI)Arts and cultureChildren and young peopleDataDemocracyDigital goodDigital identityEarly Career ResearchersEquityGenderGlobal SouthHealthResearch and evaluationSexualitySustainabilityWelfareAll years20242023 Generative AI and the Digital Good: Representation, bias, and applications to misinformation Part of the ‘Digital Good Research Fund 2024: call for applications’ webinar series This online webinar took place on Friday 9 February 2024. You can watch a recording of it below.Please note that it contains an additional recording in response to the questions that were not answered within the original webinar. In the second round of the Digital Good Research Fund, we encouraged applications that use quantitative or computational methods, as this represented a gap in our existing research which we would like to fill. This webinar, led by Dr Scott A. Hale from our management team, reflects on the use of Large-language models (LLMs, or types of artificial intelligence (AI) that uses deep learning techniques and large datasets to understand, summarize, generate and predict new text-based content) and generative AI in computational social science. It considers how downstream users of LLMs need stronger evaluations in order to understand the languages, domains, and tasks within an LLM’s training and those which fall outside. This webinar considers: Applying LLMs to identify misinformation narratives. How current approaches to Reinforcement Learning from Human Feedback (RLHF) fail to address harmful, stereotypical outputs in non-Western contexts. An in-progress study that aims to better understand what different people want from LLMs and how they perceive generative AI output. It also covers details of the 2024 Digital Good Research Fund, which is now closed. Dr Scott A. Hale Emerging Methodologies Lead, Digital Good Network; Associate Professor and Senior Research Fellow at the Oxford Internet Institute As well as being a member of the Digital Good Network management team, Scott is Associate Professor at the Oxford Internet Institute, University of Oxford, Director of Research at Meedan, and a Fellow of the Alan Turing Institute. His applied Natural Language Processing and Machine Learning research seeks to achieve more equitable access to quality information online. He also builds open-source tools for fact-checking and facilitates academic-practitioner collaborations. 13 Jun 2024 Digital Identities Over Time: online residency As part of their ‘Good Digital Identity Futures‘ project, the researchers created a one-month, online residency for three artists to explore the theme of: Digital […] 20 May 2024 Finding the good in defence tech: white paper and due-diligence framework The project Less damage done? Finding the good in defence tech produced a policy white paper and a due diligence framework for dual-use and deep tech. 19 Mar 2024 The Digital Good and Sustainability Professor Dorothea Kleine reflects on her research into digitalization and sustainability. 4 Mar 2024 Evaluating the Digital Good An insight into evaluation of digital technology from an industry perspective. 8 Jan 2024 Manifesto for digital Buen Vivir (Good Living) Indigenous artists, writers, educators, leaders and researchers participating in this project drafted a manifesto for digital good living. Pages: 1234567Load moreNothing found
