16 papers · ranked by Valyu relevance
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…
Cameron R. Jones, Benjamin K. Bergen
We evaluated 4 systems (ELIZA, GPT-4o, LLaMa-3.1-405B, and GPT-4.5) in two randomised, controlled, and pre-registered Turing tests on independent populations. Participants had 5 minute conversations simultaneously with another human participant and one of these systems before judging which conversational partner they…
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…
Leslie M. Blaha, Mitchell Abrams, Sarah A. Bibyk, Claire Bonial + 7 more
How do we gauge understanding? Tests of understanding, such as Turing's imitation game, are numerous; yet, attempts to achieve a state of understanding are not satisfactory assessments. Intelligent agents designed to pass one test of understanding often fall short of others. Rather than approaching understanding as a…
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…
Nitisha Aggarwal, Geetika Jain Saxena, Sanjeev Singh, Amit Pundir
Generative AI techniques have opened the path for new generations of machines in diverse domains. These machines have various capabilities for example, they can produce images, generate answers or stories, and write codes based on the "prompts" only provided by users. These machines are considered 'thinking minds'…
Peter Scarfe, Kelly Watcham, Alasdair Clarke, Etienne Roesch + 1 more
'Harpreet Singh Grewal'] The recent rise in artificial intelligence systems, such as ChatGPT, poses a fundamental problem for the educational sector. In universities and schools, many forms of assessment, such as coursework, are completed without invigilation. Therefore, students could hand in work as their own which…
Bernardo Gonçalves
The Turing test has faced criticism for decades, most recently at the Royal Society event "Celebrating the 75th Anniversary of the Turing Test." The question of the Turing test's significance has intensified with recent advances in large language model technology, which now enable machines to pass it. In this article…
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…
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…
Balázs Klein, Kristof Kovacs, Primož Kocbek
We administered a computerized adaptive test of vocabulary three times to assess the verbal intelligence of chatGPT (GPT 3.5) and Bing (based on GPT 4). There was no difference between their performance; both performed at a high level, outperforming approximately 95% of humans and scoring above the level of native…
Hazlam S. Ahmad Shaberi, Aibek Kappassov, Antonio Matas-Gil, Robert G. Endres
Many cellular patterns exhibit a reaction-diffusion component, suggesting that Turing instability may contribute to pattern formation. However, biological gene-regulatory pathways are more complex than simple Turing activator-inhibitor models and generally do not require fine-tuning of parameters as dictated by the…
Shubham Shinde, Archishman Raju
Turing patterns are a well-studied model of reaction-diffusion equations for developmental patterning. Their applicability has often been limited by the difficulty in identifying candidate molecules that satisfy the requisite criteria for patterning. Here, we build on recent work on geometric models to describe Turing…