Minds and Machines

Papers
(The median citation count of Minds and Machines is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
GPT-3: Its Nature, Scope, Limits, and Consequences941
Ethics-Based Auditing to Develop Trustworthy AI92
Ethics as a Service: A Pragmatic Operationalisation of AI Ethics90
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation57
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models42
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?35
The Computational Origin of Representation31
Two Dimensions of Opacity and the Deep Learning Predicament30
Robot Autonomy vs. Human Autonomy: Social Robots, Artificial Intelligence (AI), and the Nature of Autonomy27
Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots24
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples23
Scientific Exploration and Explainable Artificial Intelligence22
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory22
AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind21
Should We Treat Teddy Bear 2.0 as a Kantian Dog? Four Arguments for the Indirect Moral Standing of Personal Social Robots, with Implications for Thinking About Animals and Humans19
What Does It Mean to Empathise with a Robot?19
Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning18
It’s Friendship, Jim, but Not as We Know It: A Degrees-of-Friendship View of Human–Robot Friendships18
From Pluralistic Normative Principles to Autonomous-Agent Rules15
Language and Intelligence14
Defining Explanation and Explanatory Depth in XAI13
Meta’s Oversight Board: A Review and Critical Assessment13
The Blueprint for an AI Bill of Rights: In Search of Enaction, at Risk of Inaction13
A Pragmatic Approach to the Intentional Stance Semantic, Empirical and Ethical Considerations for the Design of Artificial Agents13
Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy12
The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation11
Explainable AI and Causal Understanding: Counterfactual Approaches Considered10
The Missing Ingredient in the Case for Regulating Big Tech10
Explainable Artificial Intelligence in Data Science10
The Treachery of Images in the Digital Sovereignty Debate10
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text9
Trust Me on This One: Conforming to Conversational Assistants9
The Turing Test is a Thought Experiment9
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice8
Ethics of Self-driving Cars: A Naturalistic Approach7
On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision-Making7
Rethinking, Reworking and Revolutionising the Turing Test6
How Robots’ Unintentional Metacommunication Affects Human–Robot Interactions. A Systemic Approach6
Descriptive Complexity, Computational Tractability, and the Logical and Cognitive Foundations of Mathematics6
Why Indirect Harms do not Support Social Robot Rights6
An Empathy Imitation Game: Empathy Turing Test for Care- and Chat-bots6
The Dawn of Social Robots: Anthropological and Ethical Issues5
Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data5
(What) Can Deep Learning Contribute to Theoretical Linguistics?5
Computer Says I Don’t Know: An Empirical Approach to Capture Moral Uncertainty in Artificial Intelligence5
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