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AI-powered model repair: an experience report—lessons learned, challenges, and opportunities
Artificial intelligence has already proven to be a powerful tool to automate and improve how we deal with software development processes. The...
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Beyond the frame problem: what (else) can Heidegger do for AI?
About three decades ago, AI theory underwent a sharp turn as a consequence of criticism that pointed out the problem of externalism in the...
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AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind
Machine learning-based AI algorithms lack transparency. In this article, I offer an interpretation of AI’s explainability problem and highlight its...
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AI in Healthcare: Malignant or Benign?
Despite a slightly tumultuous past, the popularity and growth of Artificial intelligence are observable in every nook and cranny. AI has engrained... -
Who is the human in the machine? Releasing the human–machine metaphor from its cultural roots can increase innovation and equity in AI
Computer science and cognitive science have a shared past, with many intertwined goals and perspectives. The conceptual metaphor, sha** the...
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AI from Concrete to Abstract
Artificial intelligence (AI) has been adopted in a wide range of domains. This shows the imperative need to contribute to making citizens insightful...
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Artificial Intelligence (AI) in the Workplace: A Study of Stakeholders’ Views on Benefits, Issues and Challenges of AI Systems
This paper aims to discuss issues raised by Artificial Intelligence/Machine Learning (AI/ML) in work situations, in the light of literature and an... -
The Promise of Pastiche: How AI Systems Pervade the Cultural Heritage Sector
The human–machine interaction of large-scale learning models (LLMs) and artificial intelligenceArtificial Intelligence (AI) art generators set up... -
Preserving the rule of law in the era of artificial intelligence (AI)
The study of law and information technology comes with an inherent contradiction in that while technology develops rapidly and embraces notions such...
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Assist of AI in a Smart Learning Environment
In recent years and especially during the pandemic period the use of e-learning tools has boomed, moreover, nowadays existing technologies play an... -
How Does AI Function?: AI Techniques
The focus of the book is not on the techniques of AI. Nevertheless, they are described in such detail—hopefully also in a way that is reasonably... -
Clinical Cognition and AI: From Emulation to Symbiosis
This chapter covers points of intersection among cognitive science, informatics and AI in medicine. While historical AI systems were developed in an... -
Towards Understanding Persons and Their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework
Here we review recent work attempting to combine the first principles formalism of the Free Energy Principle and Active Inference (FEP-AI) framework... -
AI Creativity and the Human-AI Co-creation Model
Artificial intelligence (AI) is bringing new possibilities to numerous fields. There have been a lot of discussions about the development of AI... -
AI-Assisted Exploration of the Spirit of Place in Chinese Gardens from the Perspective of Spatial Sequences
The Chinese garden style is not only a decorative aesthetic but also a composition of spaces. Chinese gardening is about creating narrative spatial... -
TrainBF: High-Performance DNN Training Engine Using BFloat16 on AI Accelerators
Training deep neural networks (DNNs) with half-precision floating-point formats is widely supported on recent hardware and frameworks. However,... -
aBRSL: AI based bilateral RAT selection framework for next-generation wireless networks
Next-generation wireless networks (NGWNs) are moving towards a more advanced and exemplary environment encompassing data-intensive, delay-sensitive...
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Towards an AI-Based Framework for Autonomous Design and Construction: Learning from Reinforcement Learning Success in RTS Games
The present study summarizes the state-of-the-art research in deep reinforcement learning (DRL) techniques in the architecture, engineering and... -
Neural Circuit Policies for Virtual Character Control
The development of high-stakes decision-making neural agents that interact with complex environments, such as video games, is an important aspect of...