FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379745834> ?p ?o ?g. }

• W4379745834 abstract "The presence of decision-making algorithms in society is rapidly increasing nowadays, while concerns about their transparency and the possibility of these algorithms becoming new sources of discrimination are arising. There is a certain consensus about the need to develop AI applications with a Human-Centric approach. Human-Centric Machine Learning needs to be developed based on four main requirements: (i) utility and social good; (ii) privacy and data ownership; (iii) transparency and accountability; and (iv) fairness in AI-driven decision-making processes. All these four Human-Centric requirements are closely related to each other. With the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious case study focused on automated recruitment: FairCVtest. We train automatic recruitment algorithms using a set of multimodal synthetic profiles including image, text, and structured data, which are consciously scored with gender and racial biases. FairCVtest shows the capacity of the Artificial Intelligence (AI) behind automatic recruitment tools built this way (a common practice in many other application scenarios beyond recruitment) to extract sensitive information from unstructured data and exploit it in combination to data biases in undesirable (unfair) ways. We present an overview of recent works developing techniques capable of removing sensitive information and biases from the decision-making process of deep learning architectures, as well as commonly used databases for fairness research in AI. We demonstrate how learning approaches developed to guarantee privacy in latent spaces can lead to unbiased and fair automatic decision-making process." @default.
• W4379745834 created "2023-06-08" @default.
• W4379745834 creator A5004265472 @default.
• W4379745834 creator A5018639597 @default.
• W4379745834 creator A5019196919 @default.
• W4379745834 creator A5044938484 @default.
• W4379745834 creator A5068081385 @default.
• W4379745834 creator A5073796431 @default.
• W4379745834 creator A5078069400 @default.
• W4379745834 creator A5083125799 @default.
• W4379745834 date "2023-06-07" @default.
• W4379745834 modified "2023-10-16" @default.
• W4379745834 title "Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment" @default.
• W4379745834 cites W1490055774 @default.
• W4379745834 cites W1787224781 @default.
• W4379745834 cites W1834627138 @default.
• W4379745834 cites W1849277567 @default.
• W4379745834 cites W1915485278 @default.
• W4379745834 cites W1932198206 @default.
• W4379745834 cites W2026019770 @default.
• W4379745834 cites W2029584418 @default.
• W4379745834 cites W2031342017 @default.
• W4379745834 cites W2097533491 @default.
• W4379745834 cites W2130486630 @default.
• W4379745834 cites W2163922914 @default.
• W4379745834 cites W2194775991 @default.
• W4379745834 cites W2233865108 @default.
• W4379745834 cites W2239239723 @default.
• W4379745834 cites W2332488709 @default.
• W4379745834 cites W2515770085 @default.
• W4379745834 cites W2544318541 @default.
• W4379745834 cites W2557449848 @default.
• W4379745834 cites W2578517905 @default.
• W4379745834 cites W2619383789 @default.
• W4379745834 cites W2657631929 @default.
• W4379745834 cites W2704480242 @default.
• W4379745834 cites W2769358515 @default.
• W4379745834 cites W2776154048 @default.
• W4379745834 cites W2784025535 @default.
• W4379745834 cites W2793708128 @default.
• W4379745834 cites W2807790463 @default.
• W4379745834 cites W2890680318 @default.
• W4379745834 cites W2899136066 @default.
• W4379745834 cites W2918252054 @default.
• W4379745834 cites W2937229771 @default.
• W4379745834 cites W2960178077 @default.
• W4379745834 cites W2962787423 @default.
• W4379745834 cites W2962858109 @default.
• W4379745834 cites W2962883557 @default.
• W4379745834 cites W2963350032 @default.
• W4379745834 cites W2963526187 @default.
• W4379745834 cites W2964183365 @default.
• W4379745834 cites W2969985801 @default.
• W4379745834 cites W2980688251 @default.
• W4379745834 cites W2982232682 @default.
• W4379745834 cites W2998511955 @default.
• W4379745834 cites W3001765450 @default.
• W4379745834 cites W3018301625 @default.
• W4379745834 cites W3030030520 @default.
• W4379745834 cites W3034256900 @default.
• W4379745834 cites W3035232573 @default.
• W4379745834 cites W3039690871 @default.
• W4379745834 cites W3046819526 @default.
• W4379745834 cites W3048511172 @default.
• W4379745834 cites W3082665562 @default.
• W4379745834 cites W3083206818 @default.
• W4379745834 cites W3089284501 @default.
• W4379745834 cites W3098131897 @default.
• W4379745834 cites W3099206234 @default.
• W4379745834 cites W3101820912 @default.
• W4379745834 cites W3103557498 @default.
• W4379745834 cites W3105536512 @default.
• W4379745834 cites W3113409159 @default.
• W4379745834 cites W3120485916 @default.
• W4379745834 cites W3123223998 @default.
• W4379745834 cites W3168398407 @default.
• W4379745834 cites W3198760712 @default.
• W4379745834 cites W3212169258 @default.
• W4379745834 cites W4214644748 @default.
• W4379745834 cites W4231994002 @default.
• W4379745834 cites W4288083801 @default.
• W4379745834 cites W4288086175 @default.
• W4379745834 cites W4365388135 @default.
• W4379745834 doi "https://doi.org/10.1007/s42979-023-01733-0" @default.
• W4379745834 hasPublicationYear "2023" @default.
• W4379745834 type Work @default.
• W4379745834 citedByCount "3" @default.
• W4379745834 countsByYear W43797458342023 @default.
• W4379745834 crossrefType "journal-article" @default.
• W4379745834 hasAuthorship W4379745834A5004265472 @default.
• W4379745834 hasAuthorship W4379745834A5018639597 @default.
• W4379745834 hasAuthorship W4379745834A5019196919 @default.
• W4379745834 hasAuthorship W4379745834A5044938484 @default.
• W4379745834 hasAuthorship W4379745834A5068081385 @default.
• W4379745834 hasAuthorship W4379745834A5073796431 @default.
• W4379745834 hasAuthorship W4379745834A5078069400 @default.
• W4379745834 hasAuthorship W4379745834A5083125799 @default.
• W4379745834 hasBestOaLocation W43797458341 @default.
• W4379745834 hasConcept C111919701 @default.
• W4379745834 hasConcept C119857082 @default.

• next