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About 10,000 papers for “artificial intelligence”

Artificial Intelligence for Artificial Artificial Intelligence

Peng Dai, Mausam Mausam, Daniel S. Weld · Proceedings of the AAAI Conference on Artificial Intelligence · 2011

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TurKontrol, a theoretical model based on POMDPs to optimize iterative, crowd-sourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness in a real crowd-sourced setting. Learning is challenging due to the scale of the model and noisy data: there are hundreds of thousands of workers with high-variance abilities. This paper presents an end-to-end system that first learns TurKontrol's POMDP parameters from real Mechanical Turk data, and then applies the model to dynamically optimize live tasks. We validate the model and use it to control a successive-improvement process on Mechanical Turk. By modeling worker accuracy and voting patterns, our system produces significantly superior artifacts compared to those generated through nonadaptive workflows using the same amount of money.

Cited by 69Open access

Artificial Intelligence Designed Artificial Intelligence

Zhengxin Yang · SPIRE - Sciences Po Institutional REpository · 2025

Artificial intelligence is rapidly evolving into systems of immense scale, structural complexity, and limited interpretability. Traditional human-centered design paradigms are approaching their capacity limits, struggling to support further breakthrough innovation. This bottleneck reveals long-standing structural tensions within the prevailing AI design paradigm. In response, this paper introduces Artificial Intelligence Designed Artificial Intelligence (AIDAI) as a novel research paradigm that reconceptualizes AI systems as active design entities capable of autonomously generating, activating, optimizing, evaluating, and explaining their own structures. AIDAI itself constitutes a self-contained research system, where AI is no longer a passive executor but a self-evolving agent that continuously adapts its own structure and function based on externally defined goals and preferences, achieving dynamic alignment with changing environmental demands. Within this paradigm, the role of human researchers shifts from system builders to strategic guides and evolutionary supervisors. AIDAI not only offers a potential pathway to addressing deep methodological limitations in current design practices but also points toward a future of artificial intelligence that is more general, autonomous, and sustainable. This paper calls on the AI research community to jointly explore this direction and advance toward building the next generation of AI systems with open-ended evolutionary potential.

Cited by 0

Artificial Artificial Intelligence

Lok-Hei Chan, Kenzie Doyle, Duncan C. McElfresh et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2020

Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of feedback from false AI on moral decision-making about donor kidney allocation. We found some evidence that judgments about whether a patient should receive a kidney can be influenced by feedback about participants' own decision-making perceived to be given by AI, even if the feedback is entirely random. We also discovered different effects between assessments presented as being from human experts and assessments presented as being from AI.

Cited by 8Open access

Artificial Intelligence Creativity and artificial intelligence

Margaret A. Boden · 2015

Creativity is a fundamental feature of human intelligence, and a challenge for AI. AI techniques can be used to create new ideas in three ways: by producing novel combinations of familiar ideas; by exploring the potential of conceptual spaces; and by making transformations that enable the generation of previously impossible ideas. AI will have less difficulty in modelling the generation of new ideas than in automating their evaluation. 0 1998 Elsevier Science B.V. All rights reserved. 1. Why AI must try to model creativity Creativity is a fundamental feature of human intelligence, and an inescapable challenge for AI. Even technologically oriented AI cannot ignore it, for creative programs could be very useful in the laboratory or the market-place. And AI-models intended (or considered) as part of cognitive science can help psychologists to understand how it is possible for human minds to be creative. Creativity is not a special “faculty”, nor a psychological property confined to a tiny elite. Rather, it is a feature of human intelligence in general. It is grounded in everyday capacities such as the association of ideas, reminding, perception, analogical thinking, searching

Cited by 0

Artificial Intelligence: Foundational Technologies of Artificial Intelligence

Jeffrey S. Johnson, Peter J. Denning, Andrew Odlyzko et al. · Ubiquity · 2025

More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy, psychology, logic, game theory, and cognitive science. We sketch out the enabling technologies for AI. They include search, reasoning, neural networks, natural language processing, signal processing and computer graphics, programming and conventional software engineering, human-computer interaction, communications, and specialized hardware that provides supercomputing power. Beyond these technologies is the notion of Artificial General Intelligence that has or exceeds the capabilities of the human brain. Currently this is completely aspirational and is not expected to be possible before 2050, if ever. Artificial Intelligence is based on a variety of technologies, none of which seek to emulate human intelligence.

Cited by 0Open access

Artificial Intelligence: ChatGPT to Artificial Intelligence Washing

Purvish M. Parikh · Journal of Mahatma Gandhi University of Medical Sciences and Technology · 2024

bias based on how it was programmed (it would refuse to write a poem about Donald Trump but not Joe Biden). 8 Within a short time of the launch of ChatGPT, we conducted an online anonymous survey (6-17 th February 2023). 9It consisted of nine multiple choice questions to find out regarding the use of ChatGPT among doctors vs other professions.Of the 210 participants, 157 were doctors, and 53 from other professions.Very interestingly, there was a good understanding regarding how ChatGPT would influence their professional career.The majority of the doctors (52.2%; 82/157) expected a positive impact on their work (vs 37.7% (20/53) in other professionals; p-value of 0.0006 by two-tailed Fisher's exact test).With respect to Stephen Hawkins' doom prediction (that AI would lead to the demise of the human race), healthcare professionals were quite optimistic that it would not come true (72%; 113/157) vs other professions (67.9%; 36/53; p-value = 0.0188). 9 Judiciary a n d chatGPtThe sleepy town of Cartagena on the northern coast of Colombia was declared a United Nations Educational, Scientific and Cultural Organization heritage site in 1984. 10On 30 th December 2022, it gained one more claim to fame.A hitherto unknown judge, wrote in his judgment that he had used ChatGPT to help him arrive at the verdict. 11,12While it is not clear how much help ChatGPT provided, Judge Garcia was immortalized as the first one to use AI in the judiciary (On 5 th February 2023, my Google search for "Judge Juan Manuel Padilla Garcia resulted in 70 million hits). 13Not all his peers were impressed.Professor Juan David Gutierrez from Rosario University said that the use of ChatGPT by judges is irresponsible and unethical.Still others, like Octavio Tejeiro from the Supreme Court of Colombia

Cited by 2Open access