Michael Ridley
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View article: Many Retrocausal Worlds: A Foundation for Quantum Probability
Many Retrocausal Worlds: A Foundation for Quantum Probability Open
Recent accounts of probability in the many worlds interpretation of quantum mechanics are vulnerable due to their dependence on probability theory per se. For this reason, the many worlds interpretation continues to suffer from the incoher…
View article: Censorship, Artificial Intelligence, and AI Literacy: Responding to New Challenges in an Enduring Agenda for Libraries and Librarianship
Censorship, Artificial Intelligence, and AI Literacy: Responding to New Challenges in an Enduring Agenda for Libraries and Librarianship Open
This paper focuses on AI censorship, an under addressed aspect of AI risk thatintersects with the foundational library tenets of information literacy and intellectualfreedom. AI censorship is a form of “automated censorship in which AI sys…
View article: Protocols not Platforms: The Case for Human-Centered Explainable AI
Protocols not Platforms: The Case for Human-Centered Explainable AI Open
Currently explainable AI (XAI) is embedded in large, centralized platforms such as Facebook, Google or TikTok. These platforms control the nature and extent of explanations for their recommendations, decisions, and predictions raising the …
View article: Book review: Ethan Mollick. Co-Intelligence: Living and Working with AI. Portfolio/Penguin, 2024
Book review: Ethan Mollick. Co-Intelligence: Living and Working with AI. Portfolio/Penguin, 2024 Open
Review of Ethan Mollick's 2024 book 'Co-Intelligence: Living and Working with AI'.
View article: <scp>Human‐centered</scp> explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper
<span>Human‐centered</span> explainable artificial intelligence: An Annual Review of Information Science and Technology (ARIST) paper Open
Explainability is central to trust and accountability in artificial intelligence (AI) applications. The field of human‐centered explainable AI (HCXAI) arose as a response to mainstream explainable AI (XAI) which was focused on algorithmic …
View article: Using folk theories of recommender systems to inform human-centered explainable AI (HCXAI)
Using folk theories of recommender systems to inform human-centered explainable AI (HCXAI) Open
This study uses folk theories of the Spotify music recommender system to inform the principles of human-centered explainable AI (HCXAI). The results show that folk theories can reinforce, challenge, and augment these principles facilitatin…
View article: Insights from the Folk Theories of Recommender System Users
Insights from the Folk Theories of Recommender System Users Open
Folk theories can be used to understand the user and to inform the principles and practices of human-centered explainable AI (HCXA)I. This paper reports on a study of the users of the Spotify music recommendation system and how they believ…
View article: Quantum Probability from Temporal Structure
Quantum Probability from Temporal Structure Open
The Born probability measure describes the statistics of measurements in which observers self-locate themselves in some region of reality. In ψ-ontic quantum theories, reality is directly represented by the wavefunction. We show that quant…
View article: Explainable Artificial Intelligence (XAI)
Explainable Artificial Intelligence (XAI) Open
The field of explainable artificial intelligence (XAI) advances techniques, processes, and strategies that provide explanations for the predictions, recommendations, and decisions of opaque and complex machine learning systems. Increasingl…
View article: A many-body approach to transport in quantum systems: from the transient regime to the stationary state
A many-body approach to transport in quantum systems: from the transient regime to the stationary state Open
We review one of the most versatile theoretical approaches to the study of time-dependent correlated quantum transport in nano-systems: the non-equilibrium Green’s function (NEGF) formalism. Within this formalism, one can treat, on the sam…
View article: Can Information Behaviour Inform Machine Learning?
Can Information Behaviour Inform Machine Learning? Open
The objective of this paper is to explore the opportunities for human information behaviour research to inform and influence the field of machine learning and the resulting machine information behaviour. Using the development of foundation…
View article: Quantum probability from temporal structure
Quantum probability from temporal structure Open
The Born probability measure describes the statistics of measurements in which observers self-locate themselves in some region of reality. In $ψ$-ontic quantum theories, reality is directly represented by the wavefunction. We show that qua…
View article: Algorithmic Literacy and the Role for Libraries
Algorithmic Literacy and the Role for Libraries Open
Artificial intelligence (AI) is powerful, complex, ubiquitous, often opaque, sometimes invisible, and increasingly consequential in our everyday lives. Navigating the effects of AI as well as utilizing it in a responsible way requires a le…
View article: Ethics of Artificial Intelligence
Ethics of Artificial Intelligence Open
this discussion.A study by ARL, CNI, and EDUCAUSE over the next 18 months seeks to shed light on the critical technologies shaping research and learning (including AI), and the implications for research libraries as collaborative partners …
View article: Academic Librarians and the PhD
Academic Librarians and the PhD Open
The appropriate credentials for academic librarians have always been contentious. Is the MLS/MLIS adequate? Are additional subject master’s degrees required? The increasing importance of teaching and research as part of the obligations and…
View article: Is AI Literate?
Is AI Literate? Open
Artificial intelligence (AI) technology exhibits decision-making capabilities in specific domains on par with or exceeding that of human experts. Similarly, AI is increasingly making more mundane, if complex, decisions such as driving a ca…
View article: Is AI Literate?
Is AI Literate? Open
Artificial intelligence (AI) technology exhibits decision-making capabilities in specific domains on par with or exceeding that of human experts. Similarly, AI is increasingly making more mundane, if complex, decisions such as driving a ca…