Results 41 to 50 of about 1,324 (216)

Does transparency matter? The moderating effect of algorithm transparency on social influence in investment decisions

open access: yesFrontiers in Psychology
IntroductionWith the rapid development of intelligent investment advisory platforms, the interaction between algorithmic transparency and social influence in investment decision-making remains underexplored. Based on Self-Determination Theory, this study
Wei Chang, Jingjing Yu
doaj   +1 more source

Transparency in Algorithmic Decision-making: Interpretable Models for Ethical Accountability [PDF]

open access: yesE3S Web of Conferences
Concerns regarding their opacity and potential ethical ramifications have been raised by the spread of algorithmic decisionmaking systems across a variety of fields.
Raja Kumar Jambi Ratna   +5 more
doaj   +1 more source

Low‐Temperature Imidization of Polyimides (PI) for Scalable Manufacturing of Flexible Wearable Electronics

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley   +1 more source

Algorithmic performance appraisal intensity in hospitals: implications for professional autonomy and innovative work behavior

open access: yesFrontiers in Psychology
IntroductionHospitals increasingly use algorithmic systems to monitor, compare, score, and appraise employees. Although such systems may improve consistency and efficiency, intensive use may constrain medical professionals’ autonomy and their innovative ...
Qing Yang   +6 more
doaj   +1 more source

Algorithmic transparency of conversational agents [PDF]

open access: yes, 2019
A lack of algorithmic transparency is a major barrier to the adoption of artificial intelligence technologies within contexts which require high risk and high consequence decision making. In this paper we present a framework for providing transparency of algorithmic processes.
Sam Hepenstal   +4 more
openaire   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

Transparency as organizational accomplishment: How an astronomical collaboration learns to observe its algorithms

open access: yesInformation Research: An International Electronic Journal
Introduction. Recent work on algorithmic systems has characterized such systems as relational entities, which are embedded in larger sociotechnical assemblages. We examine some implications of this framing for the practical accomplishment of transparency
Will Sutherland, Anissa Tanweer
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Outside the Black Box

open access: yesWeizenbaum Journal of the Digital Society
Algorithmic transparency is high on the agenda for social media regulation. However, recent work in Science and Technology Studies questions whether this endeavor of “opening the black box” is feasible or even meaningful due to the sociotechnical ...
Paddy Leerssen
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

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