Analysis of Trustworthiness in Machine Learning and Deep Learning

Mohamed Kentour, Joan Lu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Trustworthy Machine Learning (TML) represents a set of mechanisms and explainable layers, which enrich the learning model in order to be clear, understood, thus trusted by users. A literature review has been conducted in this paper to provide a comprehensive analysis on TML perception. A quantitative study accompanied with qualitative observations have been discussed by categorizing machine learning algorithms and emphasising deep learning ones, the latter models have achieved very high performance as real-world function approximators (e.g., natural language and signal processing, robotics, etc.). However, to be fully adapted by humans, a level of transparency needs to be guaranteed which makes the task harder regarding recent techniques (e.g., fully connected layers in neural net-works, dynamic bias, parallelism, etc.). The paper covered both academics and practitioners works, some promising results have been covered, the goal is a high trade-off transparency/accuracy achievement towards a reliable learning approach.
Original languageEnglish
Title of host publicationThe Eleventh International Conference on Advanced Communications and Computation
Subtitle of host publication(INFOCOMP 2021)
PublisherInternational Academy, Research, and Industry Association (IARIA)
Pages1-7
Number of pages7
ISBN (Print)9781612088655
Publication statusPublished - 30 May 2021
EventThe 11th International Conference on Advanced Communications and Computation - Holiday Inn Express Valencia-Ciudad Las Ciencias and online due to COVID-19, Valencia, Spain
Duration: 30 May 20213 Jun 2021
Conference number: 11
https://www.iaria.org/conferences2021/ProgramAICT21.html

Publication series

NameInternational Conference on Advanced Communications and Computation
PublisherThe International Academy, Research and Industry Association (IARIA)
ISSN (Print)2308-3484

Conference

ConferenceThe 11th International Conference on Advanced Communications and Computation
Abbreviated titleINFOCOMP 2021
CountrySpain
CityValencia
Period30/05/213/06/21
Internet address

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