Matija Franklin

According to our database, Matija Franklin authored at least 19 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

A Proposal for a Definition of General Purpose Artificial Intelligence Systems.

Carlos Ignacio Gutierrez, Anthony Aguirre, Risto Uuk, Claire C. Boine, Matija Franklin

Digit. Soc., December, 2023

An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI.

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 Pilditch, Kyle A. Kilian

CoRR, 2023

Science Communications for Explainable Artificial Intelligence.

Simon Hudson, Matija Franklin

CoRR, 2023

Strengthening the EU AI Act: Defining Key Terms on AI Manipulation.

Matija Franklin, Philip Moreira Tomei, Rebecca Gormann

CoRR, 2023

Concept Extrapolation: A Conceptual Primer.

Matija Franklin, Rebecca Gormann, Hal Ashton, Stuart Armstrong

CoRR, 2023

General Purpose Artificial Intelligence Systems as Group Agents.

Matija Franklin

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes.

Jesica Gómez-Sánchez, Cristina Gordo, Matija Franklin, Carlos Fernandez-Basso, David A. Lagnado

Proceedings of the Flexible Query Answering Systems - 15th International Conference, 2023

An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter.

Matija Franklin, Trisevgeni Papakonstantinou, Tianshu Chen, Carlos Fernandez-Basso, David A. Lagnado

Proceedings of the Flexible Query Answering Systems - 15th International Conference, 2023

Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach.

Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

2022

The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?

Matija Franklin

CoRR, 2022

Solutions to preference manipulation in recommender systems require knowledge of meta-preferences.

Hal Ashton, Matija Franklin

CoRR, 2022

Preference Change in Persuasive Robotics.

Matija Franklin, Hal Ashton

CoRR, 2022

Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI.

Matija Franklin, Hal Ashton, Rebecca Gormann, Stuart Armstrong

CoRR, 2022

Human-AI Interaction Paradigm for Evaluating Explainable Artificial Intelligence.

Matija Franklin, David A. Lagnado

Proceedings of the HCI International 2022 Posters, 2022

A Method to Check that Participants Really are Imagining Artificial Minds When Ascribing Mental States.

Hal Ashton, Matija Franklin

Proceedings of the HCI International 2022 - Late Breaking Posters, 2022

Missing Mechanisms of Manipulation in the EU AI Act.

Matija Franklin, Hal Ashton, Rebecca Gormann, Stuart Armstrong

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Causal Framework of Artificial Autonomous Agent Responsibility.

Matija Franklin, Hal Ashton, Edmond Awad, David A. Lagnado

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

The Problem of Behaviour and Preference Manipulation in AI Systems.

Hal Ashton, Matija Franklin

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Designing Memory Aids for Dementia Patients using Earables.

Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021