Results 11 to 20 of about 5,919,808 (365)

A comprehensive AI policy education framework for university teaching and learning [PDF]

open access: yesInternational Journal of Educational Technology in Higher Education, 2023
This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies.
C. Chan
semanticscholar   +1 more source

On Enhancing Security for Division Homomorphism with ElGamal

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Secure auctions and machine learning in cloud increasingly employs multi-party and homomorphic encryption support. A modification to Elgamal public key cryptosystem was shown to enable homomorphic division using an encoding of plaintext as fractions with
Marius Silaghi, Ameerah Alsulami
doaj   +1 more source

The use of fuzzy logic in the decision-making process regarding the use of outsourcing in companies

open access: yesJournal of Modern Science, 2023
Objectives The study aimed to propose a fuzzy logic system solution as a tool to support the decision to implement outsourcing in companies, taking into account the fundamental factors of the concept.
Michał Cioch, Monika Kulisz
doaj   +1 more source

Sensemaking Practices in the Everyday Work of AI/ML Software Engineering [PDF]

open access: yes, 2020
This paper considers sensemaking as it relates to everyday software engineering (SE) work practices and draws on a multi-year ethnographic study of SE projects at a large, global technology company building digital services infused with artificial ...
Book Matthias   +4 more
core   +1 more source

AI for AI: Using AI methods for classifying AI science documents

open access: yesQuantitative Science Studies, 2022
Abstract Subject area classification is an important first phase in the entire process involved in bibliometrics. In this paper, we explore the possibility of using automated algorithms for classifying scientific papers related to Artificial Intelligence at the document level.
Evi Sachini   +3 more
openaire   +3 more sources

Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts

open access: yesInternational Conference on Human Factors in Computing Systems, 2023
Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn instruction-taking out-of-the-box, making them attractive materials for designing natural language interactions.
J.D. Zamfirescu-Pereira   +3 more
semanticscholar   +1 more source

Comparative analysis of the main machine learning algorithms for the automatic recognition of fake news [PDF]

open access: yesRevista Română de Informatică și Automatică, 2023
In the digital era, change is everywhere. The benefits the internet brings are embraced, but, at the same time, challenges brought by technological evolution are needed to be dealt with. One of them is disinformation and the speed of spreading fake news.
Carmen Elena CÎRNU   +2 more
doaj   +1 more source

AI-tocracy

open access: yesThe Quarterly Journal of Economics, 2021
Abstract Recent scholarship has suggested that artificial intelligence (AI) technology and autocratic regimes may be mutually reinforcing. We test for a mutually reinforcing relationship in the context of facial-recognition AI in China. To do so, we gather comprehensive data on AI firms and government procurement contracts, as well as on
Beraja, Martin   +3 more
openaire   +3 more sources

Is medicine ready for ChatGPT – why not just ask ChatGPT?

open access: yesEuropean Journal of Translational and Clinical Medicine, 2023
As it has often happened in the past, medicine may find itself in captivity of “pioneering and promising” technological trends and fashions. Indeed, while ChatGPT and its progeny may evolve and “become ready for primetime,” we may not – not now, and ...
Anthony Rodigin
doaj   +1 more source

Explainable AI: A Review of Machine Learning Interpretability Methods

open access: yesEntropy, 2020
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.
Pantelis Linardatos   +2 more
semanticscholar   +1 more source

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