152 Result(s)
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Open AccessReliability and Interpretability in Science and Deep Learning
In recent years, the question of the reliability of Machine Learning (ML) methods has acquired significant importance, and the analysis of the associated uncertainties has motivated a growing amount of researc...
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Open AccessHuman Autonomy at Risk? An Analysis of the Challenges from AI
Autonomy is a core value that is deeply entrenched in the moral, legal, and political practices of many societies. The development and deployment of artificial intelligence (AI) have raised new questions about...
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Open AccessAnthropomorphizing Machines: Reality or Popular Myth?
According to a widespread view, people often anthropomorphize machines such as certain robots and computer and AI systems by erroneously attributing mental states to them. On this view, people almost irresisti...
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Open Access“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making
The increasing use of algorithms in allocating resources and services in both private industry and public administration has sparked discussions about their consequences for inequality and fairness in contempo...
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Open AccessA Teleological Approach to Information Systems Design
In recent years, the design and production of information systems have seen significant growth. However, these information artefacts often exhibit characteristics that compromise their reliability. This issue app...
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Open AccessIn the Craftsman’s Garden: AI, Alan Turing, and Stanley Cavell
There is rising skepticism within public discourse about the nature of AI. By skepticism, I mean doubt about what we know about AI. At the same time, some AI speakers are raising the kinds of issues that usual...
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Open AccessFind the Gap: AI, Responsible Agency and Vulnerability
The responsibility gap, commonly described as a core challenge for the effective governance of, and trust in, AI and autonomous systems (AI/AS), is traditionally associated with a failure of the epistemic and/or ...
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Open AccessThe New Mechanistic Approach and Cognitive Ontology—Or: What Role do (Neural) Mechanisms Play in Cognitive Ontology?
Cognitive ontology has become a popular topic in philosophy, cognitive psychology, and cognitive neuroscience. At its center is the question of which cognitive capacities should be included in the ontology of ...
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Open AccessTool-Augmented Human Creativity
Creativity is the hallmark of human intelligence. Roli et al. (Frontiers in Ecology and Evolution 9:806283, 2022) state that algorithms cannot achieve human creativity. This paper analyzes cooperation between ...
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Open AccessBlack-Box Testing and Auditing of Bias in ADM Systems
For years, the number of opaque algorithmic decision-making systems (ADM systems) with a large impact on society has been increasing: e.g., systems that compute decisions about future recidivism of criminals, ...
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Open AccessReflective Artificial Intelligence
As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems usually do these tasks with an unusual imbalance of insight and understanding...
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Open AccessToward Sociotechnical AI: Map** Vulnerabilities for Machine Learning in Context
This paper provides an empirical and conceptual account on seeing machine learning models as part of a sociotechnical system to identify relevant vulnerabilities emerging in the context of use. As ML is increa...
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Open AccessRegulation by Design: Features, Practices, Limitations, and Governance Implications
Regulation by design (RBD) is a growing research field that explores, develops, and criticises the regulative function of design. In this article, we provide a qualitative thematic synthesis of the existing li...
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Open AccessTowards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems
Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as assistive technology in complex societal transformations ...
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Open AccessAI Within Online Discussions: Rational, Civil, Privileged?
While early optimists have seen online discussions as potential spaces for deliberation, the reality of many online spaces is characterized by incivility and irrationality. Increasingly, AI tools are considere...
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Open AccessA Genealogical Approach to Algorithmic Bias
The Fairness, Accountability, and Transparency (FAccT) literature tends to focus on bias as a problem that requires ex post solutions (e.g. fairness metrics), rather than addressing the underlying social and tech...
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Open AccessAnthropomorphising Machines and Computerising Minds: The Crosswiring of Languages between Artificial Intelligence and Brain & Cognitive Sciences
The article discusses the process of “conceptual borrowing”, according to which, when a new discipline emerges, it develops its technical vocabulary also by appropriating terms from other neighbouring discipli...
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Open AccessGamification, Side Effects, and Praise and Blame for Outcomes
“Gamification” refers to adding game-like elements to non-game activities so as to encourage participation. Gamification is used in various contexts: apps on phones motivating people to exercise, employers try...
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Open AccessTowards a Benchmark for Scientific Understanding in Humans and Machines
Scientific understanding is a fundamental goal of science. However, there is currently no good way to measure the scientific understanding of agents, whether these be humans or Artificial Intelligence systems....
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Open AccessThe Man Behind the Curtain: Appropriating Fairness in AI
Our goal in this paper is to establish a set of criteria for understanding the meaning and sources of attributing (un)fairness to AI algorithms. To do so, we first establish that (un)fairness, like other norma...
