Results 61 to 70 of about 47,548 (246)
Transparency in Complex Computational Systems [PDF]
Scientists depend on complex computational systems that are often ineliminably opaque, to the detriment of our ability to give scientific explanations and detect artifacts. Some philosophers have s..
Creel, Kathleen A.
core +1 more source
ABSTRACT Australia's Robodebt scheme, an automated debt recovery program introduced in 2016, was exposed by the Robodebt Royal Commission (RC) as a serious failure of public administration and source of significant harm for thousands of Australians. Through a critical discourse analysis (CDA) of Australian news media, this study explores whether the RC'
Rebecca Coleman‐Hicks +1 more
wiley +1 more source
Racial categories in machine learning
Controversies around race and machine learning have sparked debate among computer scientists over how to design machine learning systems that guarantee fairness.
Barocas Solon +4 more
core +1 more source
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
Purpose To compare perioperative complications and revision surgery rates between following primary rotator cuff repair among patients with nontobacco nicotine dependence (NTND), no nicotine dependence, and traditional tobacco‐related nicotine dependence.
Samuel A. Florentino +6 more
wiley +1 more source
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng +34 more
wiley +1 more source
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
The Market for User Data [PDF]
Policymakers are today far more alert than ever before to the myriad ways in which tech companies collect and distribute consumers’ data with third-party data brokers and advertisers. We can attribute this new awareness to at least two major news stories
Sylvain, Olivier
core +1 more source
Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley +1 more source
Aims This work aimed to correlate potential links between the suspected adverse drug reaction (ADR) profile of licensed nonsteroidal androgen receptor antagonists (NSARA) with their unique chemical properties and known off‐target polypharmacology. Methods Physicochemical and polypharmacology data were curated from the Electronic Medicines Compendium ...
Simrit Dhillon +2 more
wiley +1 more source

