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Matija Franklin
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2020 – today
- 2025
- [i17]Philip Moreira Tomei, Rupal Jain, Matija Franklin:
AI Governance through Markets. CoRR abs/2501.17755 (2025) - [i16]Hal Ashton, Matija Franklin:
Model-Free RL Agents Demonstrate System 1-Like Intentionality. CoRR abs/2501.18299 (2025) - [i15]Stuart Armstrong, Matija Franklin, Connor Stevens, Rebecca Gormann:
Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation. CoRR abs/2502.00580 (2025) - [i14]Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han
, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan:
Multi-Agent Risks from Advanced AI. CoRR abs/2502.14143 (2025) - [i13]Sydney Levine, Matija Franklin, Tan Zhi-Xuan, Secil Yanik Guyot, Lionel Wong, Daniel Kilov, Yejin Choi, Joshua B. Tenenbaum, Noah D. Goodman, Seth Lazar, Iason Gabriel:
Resource Rational Contractualism Should Guide AI Alignment. CoRR abs/2506.17434 (2025) - 2024
- [i12]Seliem El-Sayed, Canfer Akbulut, Amanda McCroskery, Geoff Keeling, Zachary Kenton, Zaria Jalan, Nahema Marchal, Arianna Manzini, Toby Shevlane, Shannon Vallor, Daniel Susser, Matija Franklin, Sophie Bridgers, Harry Law, Matthew Rahtz, Murray Shanahan, Michael Henry Tessler, Arthur Douillard, Tom Everitt, Sasha Brown:
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. CoRR abs/2404.15058 (2024) - [i11]Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, 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, James Manyika:
The Ethics of Advanced AI Assistants. CoRR abs/2404.16244 (2024) - [i10]Tan Zhi-Xuan, Micah Carroll, Matija Franklin, Hal Ashton:
Beyond Preferences in AI Alignment. CoRR abs/2408.16984 (2024) - [i9]Jon Saad-Falcon, Rajan Vivek, William Berrios, Nandita Shankar Naik, Matija Franklin, Bertie Vidgen, Amanpreet Singh, Douwe Kiela, Shikib Mehri:
LMUnit: Fine-grained Evaluation with Natural Language Unit Tests. CoRR abs/2412.13091 (2024) - 2023
- [j1]Carlos Ignacio Gutierrez, Anthony Aguirre, Risto Uuk, Claire C. Boine, Matija Franklin
A Proposal for a Definition of General Purpose Artificial Intelligence Systems. Digit. Soc. 2(3): 36 (2023) - [c12]Matija Franklin, Trisevgeni Papakonstantinou, Tianshu Chen, Carlos Fernandez-Basso, David A. Lagnado:
Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter. CogSci 2023 - [c11]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS 2023: 270-280 - [c10]Matija Franklin
An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter. FQAS 2023: 221-233 - [c9]Jesica Gómez-Sánchez
Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes. FQAS 2023: 256-264 - [c8]Matija Franklin:
General Purpose Artificial Intelligence Systems as Group Agents. Tiny Papers @ ICLR 2023 - [i8]Matija Franklin, Rebecca Gormann, Hal Ashton, Stuart Armstrong:
Concept Extrapolation: A Conceptual Primer. CoRR abs/2306.10999 (2023) - [i7]Matija Franklin, Philip Moreira Tomei, Rebecca Gormann:
Strengthening the EU AI Act: Defining Key Terms on AI Manipulation. CoRR abs/2308.16364 (2023) - [i6]Simon Hudson, Matija Franklin:
Science Communications for Explainable Artificial Intelligence. CoRR abs/2308.16377 (2023) - [i5]Ross Gruetzemacher, Alan Chan, Kevin Frazier, Christy Manning, Stepán Los, James Fox, José Hernández-Orallo, John Burden, Matija Franklin, Clíodhna Ní Ghuidhir, Mark M. Bailey, Daniel Eth, Toby D. Pilditch, Kyle A. Kilian:
An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI. CoRR abs/2310.14455 (2023) - 2022
- [c7]Hal Ashton, Matija Franklin:
The Problem of Behaviour and Preference Manipulation in AI Systems. SafeAI@AAAI 2022 - [c6]Matija Franklin
Causal Framework of Artificial Autonomous Agent Responsibility. AIES 2022: 276-284 - [c5]Aidah Nakakande Ferguson, Matija Franklin, David A. Lagnado:
Explanations that backfire: Explainable artificial intelligence can cause information overload. CogSci 2022 - [c4]Matija Franklin
Missing Mechanisms of Manipulation in the EU AI Act. FLAIRS 2022 - [c3]Matija Franklin
Human-AI Interaction Paradigm for Evaluating Explainable Artificial Intelligence. HCI (37) 2022: 404-411 - [c2]Hal Ashton
A Method to Check that Participants Really are Imagining Artificial Minds When Ascribing Mental States. HCI (49) 2022: 470-474 - [i4]Matija Franklin, Hal Ashton, Rebecca Gormann, Stuart Armstrong:
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI. CoRR abs/2203.10525 (2022) - [i3]Matija Franklin
Preference Change in Persuasive Robotics. CoRR abs/2206.10300 (2022) - [i2]Hal Ashton, Matija Franklin
Solutions to preference manipulation in recommender systems require knowledge of meta-preferences. CoRR abs/2209.11801 (2022) - [i1]Matija Franklin
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability? CoRR abs/2210.02407 (2022) - 2021
- [c1]Matija Franklin
Designing Memory Aids for Dementia Patients using Earables. UbiComp/ISWC Adjunct 2021: 152-157
Coauthor Index
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