16 papers · ranked by Valyu relevance
Kevin Warwick, Huma Shah
In this paper we look at the phenomenon that is the Turing test. We consider how Turing originally introduced his imitation game and discuss what this means in a practical scenario. Due to its popular appeal we also look into different representations of the test as indicated by numerous reviewers. The main emphasis…
Cameron R. Jones, Benjamin K. Bergen
Title: Significance The Turing test asks whether a machine can imitate human behavior so well that another human cannot reliably tell the difference. It is not only the oldest and most discussed test of AI but can also provide insight into what cues people use to distinguish humans from machines. This paper…
Bernardo Gonçalves
The world has seen the emergence of machines based on pretrained models, transformers, also known as generative artificial intelligences for their ability to produce various types of content, including text, images, audio, and synthetic data. Without resorting to preprogramming or special tricks, their intelligence…
Lance B. Eliot
Artificial Intelligence (AI) is increasingly being applied to law and a myriad of legal tasks amid attempts to bolster AI Legal Reasoning (AILR) autonomous capabilities. A major question that has generally been unaddressed involves how we will know when AILR has achieved autonomous capacities. The field of AI has…
Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky + 23 more
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at…
Toby Walsh
We propose an alternative to the Turing test that removes the inherent asymmetry between humans and machines in Turing's original imitation game. In this new test, both humans and machines judge each other. We argue that this makes the test more robust against simple deceptions. We also propose a small number of…
Aladdin Ayesh
This paper aims to question the suitability of the Turing Test, for testing machine intelligence, in the light of advances made in the last 60 years in science, medicine, and philosophy of mind. While the main concept of the test may seem sound and valid, a detailed analysis of what is required to pass the test…
Benjamin Lebrun, Sharon Temtsin, Andrew Vonasch, Christoph Bartneck
Online questionnaires that use crowdsourcing platforms to recruit participants have become commonplace, due to their ease of use and low costs. Artificial intelligence (AI)-based large language models (LLMs) have made it easy for bad actors to automatically fill in online forms, including generating meaningful text for…
Alexandre Kabbach
This paper proposes to revisit the Turing test through the concept of normality. Its core argument is that the statistical interpretation of the normal—understood as the average both in the normative and mathematical sense of the term—proves useful for understanding the Turing test in at least two ways. First, in the…
Marco Giunti
This paper critically examines the recent publication "ChatGPT-4 in the Turing Test" by Restrepo Echavarría (2025), challenging its central claims regarding the absence of minimally serious test implementations and the conclusion that ChatGPT-4 fails the Turing Test. The analysis reveals that the criticisms based on…
Stevan Harnad
The "easy" problem of cognitive science is explaining how and why we can do what we can do. The "hard" problem is explaining how and why we feel. Turing's methodology for cognitive science (the Turing Test) is based on doing: Design a model that can do anything a human can do, indistinguishably from a human, to a…
Kevin Corti, Alex Gillespie
We use speech shadowing to create situations wherein people converse in person with a human whose words are determined by a conversational agent computer program. Speech shadowing involves a person (the shadower) repeating vocal stimuli originating from a separate communication source in real-time. Humans shadowing for…
Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim
Because of the growing need to provide better global healthcare, computer-based and robotic healthcare equipment that depend on artificial intelligence have seen an increase in development. In order to evaluate artificial intelligence (AI) in computer technology, the Turing test was created. For evaluating the future…
Baudouin Forgeot d’Arc, Marie Devaine, Jean Daunizeau
Social symptoms of autism spectrum disorder (ASD) are typically viewed as consequences of an impaired Theory of Mind, i.e. the ability to understand others’ covert mental states. Here, we test the assumption that such “mind blindness” may be due to the inability to exploit contextual knowledge about, e.g., the stakes…
Masanori Kohda, Takashi Hotta, Tomohiro Takeyama, Satoshi Awata + 3 more
The ability to perceive and recognise a reflected mirror image as self (mirror self-recognition, MSR) is considered a hallmark of cognition across species. Although MSR has been reported in mammals and birds, it is not known to occur in any other major taxon. A factor potentially limiting the ability to test for MSR is…
Anne Habedank, Pia Kahnau, Lars Lewejohann
In rodents, the T-maze test is commonly used to investigate spontaneous alternating behaviour but it can also be used to investigate memory, stimuli discrimination or preference between goods. However, especially regarding T-maze preference tests there is no recommended protocol and researchers frequently report…