Minds and Machines

Papers
(The median citation count of Minds and Machines is 3. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
GPT-3: Its Nature, Scope, Limits, and Consequences657
Artificial Intelligence, Values, and Alignment138
Embedding Values in Artificial Intelligence (AI) Systems85
Ethics-Based Auditing to Develop Trustworthy AI72
Ethics as a Service: A Pragmatic Operationalisation of AI Ethics64
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation48
Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs35
Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models30
A Normative Approach to Artificial Moral Agency30
Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation25
Value Sensitive Design to Achieve the UN SDGs with AI: A Case of Elderly Care Robots23
The Computational Origin of Representation23
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?23
The Ethical Governance of the Digital During and After the COVID-19 Pandemic21
Two Dimensions of Opacity and the Deep Learning Predicament21
Accountability and Control Over Autonomous Weapon Systems: A Framework for Comprehensive Human Oversight19
Robot Autonomy vs. Human Autonomy: Social Robots, Artificial Intelligence (AI), and the Nature of Autonomy17
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory17
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 Humans17
AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind17
What Does It Mean to Empathise with a Robot?16
Scientific Exploration and Explainable Artificial Intelligence15
Linking Human And Machine Behavior: A New Approach to Evaluate Training Data Quality for Beneficial Machine Learning15
Building Thinking Machines by Solving Animal Cognition Tasks15
It’s Friendship, Jim, but Not as We Know It: A Degrees-of-Friendship View of Human–Robot Friendships15
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples14
The Governance of Unmanned Aircraft Systems (UAS): Aviation Law, Human Rights, and the Free Movement of Data in the EU12
Meta’s Oversight Board: A Review and Critical Assessment12
The State Space of Artificial Intelligence12
Language and Intelligence10
A Pragmatic Approach to the Intentional Stance Semantic, Empirical and Ethical Considerations for the Design of Artificial Agents10
Is Your Neural Data Part of Your Mind? Exploring the Conceptual Basis of Mental Privacy9
Explainable Artificial Intelligence in Data Science9
The Treachery of Images in the Digital Sovereignty Debate9
Rethinking Turing’s Test and the Philosophical Implications8
The Blueprint for an AI Bill of Rights: In Search of Enaction, at Risk of Inaction8
The Missing Ingredient in the Case for Regulating Big Tech8
From Pluralistic Normative Principles to Autonomous-Agent Rules8
The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation8
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice7
Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines7
Descriptive Complexity, Computational Tractability, and the Logical and Cognitive Foundations of Mathematics6
Why Indirect Harms do not Support Social Robot Rights6
Defining Explanation and Explanatory Depth in XAI6
Rethinking, Reworking and Revolutionising the Turing Test6
Ethics of Self-driving Cars: A Naturalistic Approach6
Moral Gridworlds: A Theoretical Proposal for Modeling Artificial Moral Cognition5
The Turing Test is a Thought Experiment4
(What) Can Deep Learning Contribute to Theoretical Linguistics?4
The Dawn of Social Robots: Anthropological and Ethical Issues4
Trust Me on This One: Conforming to Conversational Assistants4
Computer Says I Don’t Know: An Empirical Approach to Capture Moral Uncertainty in Artificial Intelligence4
Deceptive Appearances: the Turing Test, Response-Dependence, and Intelligence as an Emotional Concept4
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text4
Twenty Years Beyond the Turing Test: Moving Beyond the Human Judges Too4
An Empathy Imitation Game: Empathy Turing Test for Care- and Chat-bots3
Enactivism Meets Mechanism: Tensions & Congruities in Cognitive Science3
Explainable AI and Causal Understanding: Counterfactual Approaches Considered3
Online Identity Crisis Identity Issues in Online Communities3
Ethical Considerations in the Application of Artificial Intelligence to Monitor Social Media for COVID-19 Data3
Do Computers "Have Syntax, But No Semantics"?3
The Questioning Turing Test3
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems3
Explanations in AI as Claims of Tacit Knowledge3
An Alternative to Cognitivism: Computational Phenomenology for Deep Learning3
On the Advantages of Distinguishing Between Predictive and Allocative Fairness in Algorithmic Decision-Making3
What Might Machines Mean?3
0.019953012466431