In healthcare, the development and deployment of insufficiently fair systems of artificial intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models stratified across subpopulations have revealed inequalities in how patient
First, machine learning is computational not just because it is computer-intensive, but because it relies algorithmic procedures rather than causal models.b Second, the key activity is data exploration in ways that can be surprisingly thorough. Patterns in the data commonly overlooked by conventional...
Progress in fair machine learning and equitable algorithm design hinges on data, which can be appropriately used only if adequately documented. Unfortunately, the algorithmic fairness community, as a whole, suffers from a collective data documentation debt caused by a lack of information on specific ...
This article is the journal version of [25], with full proofs and rearrangement of the material. Also, we relate our work to what has been done after the conference version was published. We start by introducing the languagein Sect.2along with a canonical form result. Then, in Sect.3we ...
However, although such indirect engineering could expand generative parameters beyond human imagination, GANs are more difficult to control and therefore so far cannot deliver controlled 3D models of stimulus categories as computer graphics does (but note progress on structuring latent spaces [69., 70....
Large language models (LLMs) have shown increasing in-context learningcapabilities through scaling up model and data size. Despite this progress,LLMs are still unable to solve algorithmic reasoning problems. While providinga rationale with the final answer has led to further improvements in multi-ste...
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knowledge of the system. Continuing with the hydraulic fracture example, once the lengths of the hydraulic fractures are figured out, the permeability of the fractures could be calculated based on the mathematical models, e.g., we apply the fracture size-transmissivity relationship. Finally, we ...
Examples of biases are not hard to find in contemporary AI models. Popular large language models (ChatGPT for example) and latent diffusion models (DALL-E and Stable Diffusion) show howexplicit biasesregarding gender, ethnicity and socioeconomic status can occur. ...
operational building of robotic solution, while girls seem to engage more in group dynamics related activities during the project, such as writing journal to document the progress of the project, observing team work effectiveness and communication skills....