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SUMMARY:Protecting digital privacy while countering terrorism: A dialogue with two UN Special Rapporteurs
DESCRIPTION:Protecting digital privacy while countering terrorism: A dialogue with two UN Special Rapporteurs\nIn-person event \n\n\nJoin us for the unique opportunity at The University of Sydney Law School to participate in a dialogue between Prof. Ana Brian Nougrères\, UN Special Rapporteur on the right to privacy and Prof. Ben Saul\, UN Special Rapporteur on the promotion and protection of human rights and fundamental freedoms while countering terrorism. \nAs our digital lives expand our exposure to the world and the need to counter terrorism does not decrease\, the use of public and private data by governments and agencies is becoming one of the key elements in the fight against terrorism. Boundaries about what is private and off-limits are becoming increasingly difficult to determine. Procedures to ensure that those limits are respected are even more challenging to enforce. Knowledge about how our data is used is progressively clouded by layers of systems and interventions. Differences among jurisdictions on what digital privacy entails in the anti-terrorism context in turn are more acute. \nIn a dialogue moderated by Dr. José-Miguel Bello y Villarino (U. Sydney/ADM+S CoE)\, Prof. Brian Nougrères and Prof. Saul will discuss the status quo\, the current debates and possible ways forward. \nAbout the speakers\nProf. Ana Brian Nougrères: In July 2021\, the Human Rights Council appointed Dr. Ana Brian Nougrères of Uruguay as the Special Rapporteur on the right to privacy and she took up the mandate on 1 August 2021. A Professor of Law\, Privacy and ICT at the School of Engineering\, University of Montevideo and a Professor of Law\, Data Protection and ICT at the School of Law\, University of the Republic\, Montevideo. She is also a practicing Attorney-at-law and Consultant on data protection. Her latest article\, The Uruguayan law system facing security breaches\, was published by LA LEY (Spain) in 2021. \nProf. Ben Saul: Since 1 November 2023\, Ben Saul has been the Special Rapporteur on the promotion and protection of human rights and fundamental freedoms while countering terrorism. He is the Challis Chair of International Law at The University of Sydney and has expertise in public international law\, counter-terrorism law\, human rights and refugee law\, international humanitarian law\, and international criminal law. He has taught at Oxford\, Harvard\, The Hague and Xiamen Academies of International Law\, and in Europe and Asia; practised in international tribunals; advised governments\, NGOs and the United Nations; and worked on international law in over 35 countries. \nDr. José-Miguel Bello y Villarino: Senior Research Fellow at the Law School and the Institutions programme of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). He is a member of the Diplomatic Corps of Spain (on leave) and previously worked in different capacities for the European Union. His current research focuses on regulatory approaches to ADM and Artificial Intelligence (AI)\, especially on how to deal with risks derived from the operation of AI systems from a comparative approach. In 2023 he received the Rita and John Cornforth Medal for Research Excellence at the University of Sydney\, for outstanding achievement in research; in 2022 the Scotiabank Global AI + Regulation Emerging Scholar Award (joint award) and in 2021 he was a Fulbright-Schuman scholar at the Harvard Law School. \n————————————————– \nThursday 15 August\, 2024\nTime: 11am-12pm \nVenue: Common Room\, Level 4\, New Law Building (F10)\, Eastern Avenue\, University of Sydney\, Camperdown campus \nCPD Points: 1 point \n————————————————– \nThis event is proudly presented by the University of Sydney Law School.
URL:https://law-events.sydney.edu.au/event/protecting-digital-privacy-while-countering-terrorism-a-dialogue-with-two-un-special-rapporteurs/
LOCATION:Common Room\, Level 4\, Sydney Law School
CATEGORIES:ADM+ S Events,CPD eligible events
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DTSTART;TZID=Australia/Sydney:20231012T130000
DTEND;TZID=Australia/Sydney:20231012T140000
DTSTAMP:20260411T162337
CREATED:20240912T235549Z
LAST-MODIFIED:20240913T010734Z
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SUMMARY:Copyright and Generative AI: Best practices for LLM training and recent developments in U.S. litigation
DESCRIPTION:Copyright and Generative AI: Best practices for LLM training and recent developments in U.S. litigation\nAbstract \nGenerative AI based on large language models (LLMs) such as ChatGPT\, DALL·E-2\, Midjourney\, Stable Diffusion\, JukeBox\, and MusicLM can produce text\, images\, and music that are indistinguishable from human-authored works. The training data for these large language models consists predominantly of copyrighted works. This presentation and the accompanying article explore how generative AI fits within U.S. fair use rulings established in relation to previous generations of copy-reliant technology\, including software reverse engineering\, automated plagiarism detection systems\, and the text data mining at the heart of the landmark HathiTrust and Google Books cases. \nAlthough there is no machine learning exception to the principle of non-expressive use\, the largeness of likelihood models suggest that they are capable of memorizing and reconstituting works in the training data\, something that is incompatible with non-expressive use. At the moment\, memorization is an edge case. For the most part\, the link between the training data and the output of generative AI is attenuated by a process of decomposition\, abstraction\, and remix. Generally\, pseudo-expression generated by large language models does not infringe copyright because these models “learn” latent features and associations within the training data\, they do not memorize snippets of original expression from individual works. \nHowever\, there are particular situations in the context of text-to-image models where memorization of the training data is more likely. The computer science literature suggests that memorization is more likely when: models are trained on many duplicates of the same work; images are associated with unique text descriptions; and the ratio of the size of the model to the training data is relatively large. Professor Sag will talk through examples where these problems are accentuated and outline his proposals for initial best practices for “Copyright Safety for Generative AI” to reduce the risk of copyright and related infringement. \nAbout the Speaker \n \nMatthew Sag is a Professor of Law in Artificial Intelligence\, Machine Learning and Data Science at Emory University Law School. Professor Sag is an expert in copyright law and intellectual property. He is a leading U.S. authority on the fair use doctrine in copyright law and its implications for researchers in the fields of text data mining\, machine learning\, and AI. \nHe was born and educated in Australia and earned honors in Law at the Australian National University in Canberra and clerked for Justice Paul Finn at the Australian Federal Court. Sag practiced law London as an associate at Arnold & Porter\, and in Silicon Valley with Skadden\, Arps\, Slate\, Meagher & Flom. Prior to Emory\, he taught at DePaul University and Loyola Chicago; he has also held visiting posts at Northwestern University\, the University of Virginia and the University of Melbourne. \nSag is currently working on several theoretical contributions to copyright law in relation to AI and machine learning and a series of empirical papers using text-mining and machine learning tools to study judicial behavior. His work has been published in leading journals such as Nature\, and the law reviews of the University of California Berkeley\, Georgetown\, Northwestern\, Notre Dame\, Vanderbilt\, Iowa and William & Mary\, among others. His research has been widely cited in academic works\, court submissions\, judicial opinions and government reports. \nAbout the Moderator \n \nDaniela Simone is an intellectual property law scholar with a special interest in copyright law and the challenges of the digital age. Daniela holds DPhil\, MPhil and BCL degrees from the University of Oxford and a BA (English and French)/LLB (Hons I) degree from the University of Sydney. Daniela is a qualified lawyer and has worked at global commercial law firm\, Ashurst. \nPrior to joining Macquarie Law School\, Daniela was Lecturer in Law and Co-Director of the Institute of Brand and Innovation Law at University College London. Daniela was founder of the University of Oxford’s Intellectual Property Discussion Group (and its convenor until 2013). She is a Fellow of the Higher Education Academy with extensive experience in course design and innovative\, research-led teaching. \nDaniela’s research explores the intersection of law\, technology\, and culture. She is interested in collaborative authorship\, artificial intelligence\, the disruption new technology has brought to copyright law\, regulation of the internet\, the interaction between law and social norms\, the international IP system\, philosophy of IP\, and the regulation of cultural property. Her work embraces comparative and inter-disciplinary methods and she is keen to engage directly with stakeholders. \n  \n——————————— \nTime: 1.00- 2.00pm (arrivals are welcomed from 12.30pm to mingle and settle in with lunch) \nDate: Thursday\, 12 October 2023 \nVenue: In-person: Law Foyer\, Level 2\, New Law Building (F10)\, University of Sydney\, Camperdown\, Gadigal Land\, NSW 2006 (please follow directional signage on arrival) \n——————————— \nThis event is proudly co-hosted by the University of Sydney Law School and the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). Our moderator joins us from Macquarie Law School.  \nRegister now \nEnquiries may be directed to: law.events@sydney.edu.au
URL:https://law-events.sydney.edu.au/event/copyright-and-generative-ai-best-practices-for-llm-training-and-recent-developments-in-u-s-litigation/
LOCATION:New Law Building (F10)
CATEGORIES:ADM+ S Events,Artificial Intelligence,Intellectual Property,Interdisciplinary,Lunchtime Seminar Series
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SUMMARY:2023 ADM+S Symposium: Automated News & Media
DESCRIPTION:2023 ADM+S Symposium: Automated News & Media\nAbout  \nThe University of Sydney is one of 9 partner universities of the ARC Centre of Excellence for Automated Decision-Making and Society. Through this partnership the University of Sydney is proud to host this event. \nAI and automation are now part of the news and media industries. Digital platforms use automated systems to shape how we find and access information and entertainment\, as well as to filter\, fact-check and moderate content\, and to serve advertising to their users. Newsrooms are producing stories without human intervention and using bots to collect newsworthy data. \nAs these sectors start to seriously grapple with AI\, the dominance of major platforms and media organisations looks far less certain\, thanks to a series of economic shocks and a renewed interest in alternative social media technologies. \nThis is a moment of possibility\, and one that invites reflection and action. \nKeynote Speakers \nThere will be a host of speakers from the ADM+S Centre and The University of Sydney including: \nProfessor Bronwyn Carlson \nBronwyn Carlson is the leading Indigenous scholar on Indigenous peoples use of social media for cultural\, social\, intimate\, and political activism. She is widely published on these topics\, including collaborations with other Indigenous scholars across the globe. Bronwyn is the recipient of three consecutive Australian Research Council Discovery Indigenous grants exploring Indigenous engagements across social media platforms. \nShe was also recently awarded a grant from Meta to explore the unique experiences of Indigenous women and LGBTQI+ people’s online. Bronwyn is the co-author of Indigenous Digital Life: The Practice and Politics of Being Indigenous on Social Media (2021) and co-editor and contributor of Indigenous People Rise Up: The Global Ascendancy of Social Media Activism (2021). \nBronwyn is the Director of the Centre for Global Indigenous Futures\, Deputy Director Indigenous of the recently funded ARC Centre of Excellence for the Elimination of Violence Against Women (CEVAW) and a member of the Australian Academy of Humanities. \nProfessor Wiebke Loosen \nWiebke Loosen is a senior journalism researcher at the Leibniz Institute for Media Research│Hans-Bredow-Institut (HBI) (Germany) as well as a professor at the University of Hamburg. Her major areas of expertise are the transformation of journalism within a changing media environment\, theories of journalism\, and methodology. Wiebke’s current research focuses on the changing journalism-audience relationship\, the datafication of journalism\, forms of\, pioneer journalism’ and the start-up culture in journalism as well as the automation of communication. \nMs Tarunima Prabhakar\n \nTarunima is the research lead and co-founder of Tattle which builds citizen centric tools and datasets to respond to inaccurate and harmful content in India. Through Tattle\, she focuses on the unique challenges of addressing inaccurate and harmful information in India and the Global South. Her broader research interests are in the intersection of technology\, policy and global development. As a practitioner\, she has worked on ICTD and Data driven development projects with non-profits and tech companies in Asia and the United States. \nAssistant Professor Nick Seaver \nNick Seaver is an assistant professor in the Department of Anthropology and director of the Program in Science\, Technology\, and Society at Tufts University in Medford\, MA. His ethnographic research on the developers of algorithmic music recommendation has appeared in Cultural Anthropology\, Cultural Studies\, and Big Data & Society. He is co-editor of Towards an Anthropology of Data (2021) and author of Computing Taste: Algorithms and the Makers of Music Recommendation (2022). \nSpeakers from the University of Sydney include: \n\nDr Olga Boichak\nProfessor Terry Flew\nDr Jonathon Hutchinson\nMs Rebecca Johnson\n\nAs well as speakers from ABC\, Telstra\, Sydney Morning Herald\, The Conversation\, Amazon\, and Nvidia. \nAbout the ADM+S Centre \nThe ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) is a new\, cross-disciplinary\, national research centre which aims to create the knowledge and strategies necessary for responsible\, ethical\, and inclusive automated decision-making. Funded by the Australian federal government through the Australian Research Council from 2020 to 2026\, ADM+S is hosted at RMIT in Melbourne\, Australia\, with nodes in seven other Australian universities including the University of Sydney\, and partnerships with international universities and industry organisations. The Centre brings together leading researchers in the humanities\, social and technological sciences in an international industry\, research and civil society network. Its priority domains for public engagement are news and media\, transport\, social services and health. \nThis symposium brings together researchers\, industry\, advocacy groups and policymakers to address the most pressing challenges associated with AI and automation in news\, media and entertainment. \nRegister now. \n——————————— \n13-14 July 2023\nTime: Thursday 13 July – 9am to 5.30pm\, Friday 14 July – 9am- 5pm \nVenue: Online and In-person: New Law Building F10\, University of Sydney\, Camperdown\, Gadigal Land\, NSW 2006 \n———————————
URL:https://law-events.sydney.edu.au/event/2023-adms-symposium-automated-news-media/
CATEGORIES:ADM+ S Events
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