2019
DOI: 10.14361/9783839447192-001
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The Democratization of Artificial Intelligence

Abstract: Diagnoses of time are naturally a difficult undertaking. Nevertheless, it is probably an adequate observation that, in our present historical situation, the concern for the stability and future of democracy is particularly profound (cf. Rapoza 2019). The objects of this concern are, on the one hand, developments which seem to have only a limited or indirect connection with questions of technology, such as the current rise of right-wing populism and authoritarianism, especially in Europe and in the US, or "the … Show more

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Cited by 18 publications
(3 citation statements)
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“…The hyperplane for separating outcomes can be written as the set of points X: (9) where "•" denotes the dot product and the vector W is a normal vector. In two-category classification, given a training set of instance-label pairs (xi, yi), the SVM model needs to solve the optimization problem [30]:…”
Section: Svm For Predictionmentioning
confidence: 99%
See 1 more Smart Citation
“…The hyperplane for separating outcomes can be written as the set of points X: (9) where "•" denotes the dot product and the vector W is a normal vector. In two-category classification, given a training set of instance-label pairs (xi, yi), the SVM model needs to solve the optimization problem [30]:…”
Section: Svm For Predictionmentioning
confidence: 99%
“…The authenticity, integrality and reliability of the road test environment significantly influences the performance of the intelligent and connected vehicle [28]. Comparing the implementation cost of real road tests, most tests adopt the schemes combining software simulation, virtual-real interaction [29] and advanced learning algorithms [30]. The environment includes roads, roadblocks, trees, houses, human, other vehicles, motorcycles, bicycles, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The 21 st century has seen a resurgence of AI, fueled by data explosion, computing power advancements, and powerful algorithms like deep learning (Lu, 2019). This "AI renaissance" has brought us self-driving cars, facial recognition systems, virtual assistants, and even machines capable of creating art and poetry (Sudmann, 2019). The future of AI is undeniable, with its potential to improve our lives in various ways, from healthcare and education to climate change and space exploration (Santosh & Gaur, 2022).…”
Section: Introductionmentioning
confidence: 99%