31 citations · 65 across the 9 of their papers we have counts for
9 papers
Model-Free RL Agents Demonstrate System 1-Like Intentionality
Hal Ashton, Matija Franklin
This paper argues that model-free reinforcement learning (RL) agents, while lacking explicit planning mechanisms, exhibit behaviours that can be analogised to System 1 ("thinking f…
Beyond Preferences in AI Alignment
Tan Zhi-Xuan, Micah Carroll, Matija Franklin +1
The dominant practice of AI alignment assumes (1) that preferences are an adequate representation of human values, (2) that human rationality can be understood in terms of maximizi…
Science Communications for Explainable Artificial Intelligence
Simon Hudson, Matija Franklin
Artificial Intelligence (AI) has a communication problem. XAI methods have been used to make AI more understandable and helped resolve some of the transparency issues that inhibit…
Strengthening the EU AI Act: Defining Key Terms on AI Manipulation
Matija Franklin, Philip Moreira Tomei, Rebecca Gorman
The European Union's Artificial Intelligence Act aims to regulate manipulative and harmful uses of AI, but lacks precise definitions for key concepts. This paper provides technical…
Concept Extrapolation: A Conceptual Primer
Matija Franklin, Rebecca Gorman, Hal Ashton +1
This article is a primer on concept extrapolation - the ability to take a concept, a feature, or a goal that is defined in one context and extrapolate it safely to a more general c…
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability?
Matija Franklin
This article aims to provide a theoretical account and corresponding paradigm for analysing how explainable artificial intelligence (XAI) influences people's behaviour and cognitio…
Solutions to preference manipulation in recommender systems require knowledge of meta-preferences
Hal Ashton, Matija Franklin
Iterative machine learning algorithms used to power recommender systems often change people's preferences by trying to learn them. Further a recommender can better predict what a u…
Preference Change in Persuasive Robotics
Matija Franklin, Hal Ashton
Human-robot interaction exerts influence towards the human, which often changes behavior. This article explores an externality of this changed behavior - preference change. It expa…
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
Matija Franklin, Hal Ashton, Rebecca Gorman +1
As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisi…