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Language-based AI systems are diffusing into society, bringing positive and negative impacts.
Dynamic capabilities and strategic management
David J. Teece, Gary Pisano, and Amy Shuen · 1997
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Transparency in drug regulation: Mirage or oasis?
Joel Lexchin and Barbara Mintzes · 2004
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Seeking truth for power: Informational strategy and regulatory policy making
Cary Coglianese, Richard Zeckhauser, and Edward A. Parson · 2004
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The national transportation safety board: A model for systemic risk management
Eric Fielding, Andrew W. Lo, and Jian Helen Yang · 2011
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How effective are incident-reporting systems for improving patient safety? a systematic literature review
Charitini Stavropoulou, Catherine Doherty, and Paul Tosey · 2015
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Contribution of industry funded post-marketing studies to drug safety: survey of notifications submitted to regulatory agencies
Angela Spelsberg, Christof Prugger, Peter Doshi, Kerstin Ostrowski, Thomas Witte, Dieter Hüsgen, and Ulrich Keil · 2017
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Who owns the information held by eu agencies? weed killers, commercially sensitive information and transparent and participatory governance
Emilia Korkea-aho and Päivi Leino · 2017
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Ethical and social risks of harm from language models, 2021
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, and Iason Gabriel · 2021
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Preventing repeated real world ai failures by cataloging incidents: The ai incident database
Sean McGregor · 2021
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C2pa technical specification
Coalition for Content Provenance and Authenticity · 2021
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Relevant legislation
Office for National Statistics · 2021
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The digital divide is a human rights issue: Advancing social inclusion through social work advocacy
C. K. Sanders and E. Scanlon · 2021
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Taxonomy of risks posed by language models
Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, and Iason Gabriel · 2022
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Outsider oversight: Designing a third party audit ecosystem for ai governance
Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, and Daniel Ho · 2022
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Ai ethics issues in real world: Evidence from ai incident database
Mengyi Wei and Kyrie Zhou · 2022
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Gpts are gpts: An early look at the labor market impact potential of large language models, 2023
Tyna Eloundou, Sam Manning, Pamela Mishkin, and Daniel Rock · 2023
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Benefits, limits, and risks of gpt-4 as an ai chatbot for medicine
Peter Lee, Sebastien Bubeck, and Joseph Petro · 2023
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Harms from increasingly agentic algorithmic systems
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, and Tegan Maharaj · 2023
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Generative ai and the future of work in america
Kweilin Ellingrud, Saurabh Sanghvi, Gurneet Singh Dandona, Anu Madgavkar, Michael Chui, Olivia White, and Paige Hasebe · 2023
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Model evaluation for extreme risks, 2023
Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul Christiano, and Allan Dafoe · 2023
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Sociotechnical safety evaluation of generative ai systems, 2023
Laura Weidinger, Maribeth Rauh, Nahema Marchal, Arianna Manzini, Lisa Anne Hendricks, Juan Mateos-Garcia, Stevie Bergman, Jackie Kay, Conor Griffin, Ben Bariach, Iason Gabriel, Verena Rieser, and William Isaac · 2023
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Ai capabilities can be significantly improved without expensive retraining, 2023
Tom Davidson, Jean-Stanislas Denain, Pablo Villalobos, and Guillem Bas · 2023
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Risk assessment at agi companies: A review of popular risk assessment techniques from other safety-critical industries, 2023
Leonie Koessler and Jonas Schuett · 2023
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Toward comprehensive risk assessments and assurance of ai-based systems
Heidy Khlaaf · 2023
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Deployment corrections: An incident response framework for frontier ai models, 2023
Joe O’Brien, Shaun Ee, and Zoe Williams · 2023
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Safe before sale: Learnings from the fda’s model of life sciences oversight for foundation models
Merlin Stein and Connor Dunlop · 2023
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Addressing patient safety hazards using critical incident reporting in hospitals: A systematic review
Ken Goekcimen, René Schwendimann, Yvonne Pfeiffer, Giulia Mohr, Christoph Jaeger, and Simon Mueller · 2023
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Structural indicators to assess effectiveness of the eu’s code of practice on disinformation
Iva Nenadić, Elda Brogi, and Konrad Bleyer-Simon · 2023
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Voluntary ai commitments, 2023
The White House · 2023
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Testing language model agents safely in the wild
Silen Naihin, David Atkinson, Marc Green, Merwane Hamadi, Craig Swift, Douglas Schonholtz, Adam Tauman Kalai, and David Bau · 2023
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Social companionship with artificial intelligence: Recent trends and future avenues
Rijul Chaturvedi, Sanjeev Verma, Ronnie Das, and Yogesh K Dwivedi · 2023
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Foundation models explainer
Elliot Jones · 2023
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Exploring the relevance of data privacy-enhancing technologies for ai governance use cases
Emma Bluemke, Tantum Collins, Ben Garfinkel, and Andrew Trask · 2023
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Regulating ai in the uk
Matt Davies and Michael Birtwistle · 2023
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The ai incident database as an educational tool to raise awareness of ai harms: A classroom exploration of efficacy, limitations, & future improvements
Michael Feffer, Nikolas Martelaro, and Hoda Heidari · 2023
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Economic activity and social change in the uk, real-time indicators, 2023
UK Government Office for National Statistics · 2023
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Nist assessing risks and impacts of ai (aria) pilot evaluation plan
Reva Schwartza, Jonathan Fiscusa, Kristen Greenea, Gabriella Watersb, Rumman Chowdhuryb, Theodore Jensena, Craig Greenberga, Afzal Godila, Razvan Amironeseia, Patrick Hallb, and Shomik Jaina · 2024
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Detecting ai fingerprints: A guide to watermarking and beyond
Siddarth Srinivasan · 2024
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Visibility into ai agents
Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, and Markus Anderljung · 2024
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Ai companions reduce loneliness
Julian De Freitas, Ahmet K Uguralp, Zeliha O Uguralp, and Puntoni Stefano · 2024
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Microsoft and mistral ai announce new partnership to accelerate ai innovation and introduce mistral large first on azure, February 2024
Eric Boyd · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Putting collective intelligence to the enforcement of the digital services act: Report on possible collaborations between the european commission and civil society organisations
Suzanne Vergnolle · 2023
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16 changes to the way enterprises are building and buying generative ai
Sarah Wang and Shangda Xu · 2024
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Artificial intelligence (ai) opportunities action plan: terms of reference
Innovation Department for Science and Technology · 2024
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Use of artificial intelligence in legal practice, 2023
Irene Pietropaoli · 2024
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News focus: Artificial intelligence debuts at the old bailey, 2023
Michael Cross · 2024
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The ethics of advanced ai assistants, 2024
Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomašev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, and James Manyika · 2024
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Openai’s gpt is a recruiter’s dream tool. tests show there’s racial bias, March 2024
Leon Yin, Davey Alba, and Leonardo Nicoletti · 2024
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Introducing duolingo max: A learning experience powered by gpt-4, March 2023
Duolingo Team · 2024
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Responsible reporting for frontier ai development, 2024
Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, and Thomas Woodside · 2024
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Medwatch: The fda safety information and adverse event reporting program
Food and Drug Administration · 2024
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Accident & incident data
Federal Aviation Authority · 2024
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An argument for hybrid ai incident reporting, 2024
Ren Bin Lee Dixon and Heather Frase · 2024
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Ai incident reporting: Addressing a gap in the uk’s regulation of ai
Tommy Shaffer Shane · 2024
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Establishing an ai incident reporting system, 2024
John Croxton, David Robusto, Satya Thallam, and Doug Calidas · 2024
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Merging ai incidents research with political misinformation research: Introducing the political deepfakes incidents database
Christina P. Walker, Daniel S. Schiff, and Kaylyn Jackson Schiff · 2024
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Generative ai misuse: A taxonomy of tactics and insights from real-world data, 2024
Nahema Marchal, Rachel Xu, Rasmi Elasmar, Iason Gabriel, Beth Goldberg, and William Isaac · 2024
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The atlas of ai incidents in mobile computing: Visualizing the risks and benefits of ai gone mobile, 2024
Edyta Bogucka, Marios Constantinides, Julia De Miguel Velazquez, Sanja Šćepanović, Daniele Quercia, and Andrés Gvirtz · 2024
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Designing incident reporting systems for harms from ai (forthcoming), 2024
Kevin Wei and Lennart Heim · 2024
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Common weakness enumeration database
MITRE · 2024
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Keeping an eye on ai
Elliot Jones · 2024
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Ai incident reporting: Addressing a gap in the uk’s regulation of ai
Tommy Shaffer Shane · 2024
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British pm rishi sunak secures ‘landmark’ deal on ai testing, 2024
Vincent Manancourt and Tom Bristow · 2024
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Anthropic and openai models proposed for us ai safety institute, 2024
Ina Fried · 2024
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Chapter ix, artificial intelligence act (regulation (eu))
European Parliament · 2024
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Accessed: 2024-09-09
UK AI Safety Institute, 2024 · 2024
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Status report on mechanisms for researcher access to online platform data
European Commission · 2024
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The environmental impact of the cloud – the common crawl case study
Julien Nioche · 2024
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The ai gender gap: Exploring variances in workplace adoption, 2024
Jessica Howington · 2024
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Public vs private bodies: Who should run advanced ai evaluations and audits? a three-step logic based on case studies of high-risk industries
Merlin Stein, Milan Gandhi, Theresa Kriecherbauer, Amin Oueslati, and Robert Trager · 2024
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Reporting requirements: payment service providers and e-money issuers, 2024
Financial Conduct Authority · 2024
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Fys 2013 - 2017 regulatory science report: Analysis of generic drug utilization and substitution, 2024
U.S. Food and Drug Administration · 2024
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Beyond phase-in: assessing impacts on disinformation of the eu digital services act
L. Nannini, E. Bonel, D. Bassi, et al · 2024
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