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FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
[article]
2021
arXiv
pre-print
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Despite these concerns and risks, there are currently no concrete guidelines and best practices for guiding future AI developments in medical imaging towards increased trust, safety and adoption. ...
These guiding principles are named FUTURE-AI and its building blocks consist of (i) Fairness, (ii) Universality, (iii) Traceability, (iv) Usability, (v) Robustness and (vi) Explainability. ...
This paper defines new guiding principles named FUTURE-AI and translates these into concrete recommendations and best practices for developing future AI solutions in medical imaging. ...
arXiv:2109.09658v3
fatcat:w3xv64aiobe55d3nrsfb7whqsa
AI, Governance and Ethics
[chapter]
2021
Constitutional Challenges in the Algorithmic Society
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Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, but there is much disquiet over problematic and dangerous implementations of AI, ...
Such developments form the basis for this chapter, where we give an insight into what is happening in Australia, China, the European Union, India and the United States. ...
and its many social, medical and bioethical implications'. 41 n March 2018, the European Commission issued a Communication on Artificial Intelligence for Europe, in which the Commission set out 'a European ...
doi:10.1017/9781108914857.010
fatcat:f4bizcuqkbdjpfgs4ridpm4rvu
A 20-Year Community Roadmap for Artificial Intelligence Research in the US
[article]
2019
arXiv
pre-print
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These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap ...
Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in ...
Trustworthy Learning For most of its history, artificial intelligence research has focused on building systems to solve specific problems, whether it be recognizing objects in images or winning at the ...
arXiv:1908.02624v1
fatcat:jza6i2tzufgeracsou77qukbu4
Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys
2021
Sustainability
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In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. ...
Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. ...
As overall concluding remark, we can state that future AI and other digital and emerging technologies act as enablers of the SDGs. ...
doi:10.3390/su13116038
fatcat:esuc6wh2hng37lgqylducapywq
Data Economy 2.0: From Big Data Value to AI Value and a European Data Space
[chapter]
2021
The Elements of Big Data Value
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AbstractArtificial intelligence (AI) has a tremendous potential to benefit European citizens, economy, environment and society and already demonstrated its potential to generate value in various applications ...
This chapter explores the opportunities and challenges of big data and AI in exploiting data ecosystems and creating AI value. ...
Future AI research needs to be guided by new and established ethical norms. ...
doi:10.1007/978-3-030-68176-0_16
fatcat:n7fgc76zbfbznm4npmt3iis7si
An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)
[article]
2021
arXiv
pre-print
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monitoring and regulatory compliance: it offers a structured reflection tool for stakeholders in AI development that are engaged in responsible research and innovation.Pre-print version (achieved on May ...
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence, namely psychology and engineering, and from disciplines aiming to ...
Nevertheless, it is important to try disentangling complexities around this notion of autonomy in order to serve classification of future AI innovations and advances towards a potential consensus on the ...
arXiv:2105.03192v1
fatcat:ccwsppi5hzenxneg23j5y3pdcu
Know Your Model (KYM): Increasing Trust in AI and Machine Learning
[article]
2021
arXiv
pre-print
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It is necessary to understand how we can evaluate trustworthiness in AI and how individuals and entities alike can develop trustworthy AI systems. ...
Moreover, the guidelines help ensure that trustworthiness is provable and can be demonstrated, they are implementation agnostic, and they can be applied to any AI system in any sector. ...
INTRODUCTION Artificial intelligence (AI) systems are being utilized in nearly every sector, with notable applications in autonomous systems, banking, education, medical, manufacturing, and robotics. ...
arXiv:2106.11036v1
fatcat:zbn4ikphojb3ffpyjujbwrhw3i
Managing the tension between opposing effects of explainability of artificial intelligence: a contingency theory perspective
2021
Internet Research
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PurposeResearch into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. ...
The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.Originality/valueThis study addresses polarized beliefs amongst ...
Comparing the opposing effects of AI explainability with contingency theory highlights the need for finding a mechanism for managing the trade-off between these effects in future AI developments and use ...
doi:10.1108/intr-05-2020-0300
fatcat:7cb7vum7xzhurfz7sgewrhlcq4
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
[article]
2018
arXiv
pre-print
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of artificial intelligence on human behaviour. ...
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. ...
Such investigations are critical when considering the use of AI and robots in educational (and health) environments. ...
arXiv:1806.03192v1
fatcat:jypjtwtgxbg5vbkigudnxtsp64
Umjetna inteligencija kao segment strategije ili značenje (uloga) umjetne inteligencije u strategijskom planiranju
2021
National security and the future
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Artificial intelligence – (AI) zasigurno je najrazvikanija i najrasprostranjenija riječ u područjima znanstvenog istraživanja u proteklih nekoliko godina te je postala najzanimljivije područje razvoja. ...
Havens (The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (A/IS)) and Jack Stilgoe (Department of Science & Technology Studies, University College London). ...
We must avoid strong assumptions on the upper limits of future AI capabilities, assert the FLI's Asilomar Principles, and recognise that advanced AI represents a profound change in the history of life ...
doi:10.37458/nstf.21.3.4
fatcat:ppbbazo5qbcahhccwncus267ui
State of AI Ethics Report (Volume 6, February 2022)
[article]
2022
arXiv
pre-print
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and Imagination for Preventing AI Harms". ...
It is a resource for researchers and practitioners alike in the field to set their research and development agendas to make contributions to the field of AI ethics. ...
The value of certification for future AI research and development Finally, the paper addresses the potential value of certification for future AI technology. ...
arXiv:2202.07435v1
fatcat:wbalu3j3ynelfim7eqvxcpwu3q
AI and Big Data Standardization: Contributing to United Nations Sustainable Development Goals
2020
Journal of ICT Standardization
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Emerging Technologies like Artificial Intelligence (AI), Big Data, Internet of Things (IoT), Blockchain and 5G communications are innovation accelerators creating new products, processes and industries ...
International Standards Development Organisations (SDOs) and Standard Setting Organisations (SSOs) develop and evolve consensus documents of the state of the art and publish these international agreements ...
Acknowledgements This paper is supported in part by the ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the ...
doi:10.13052/jicts2245-800x.821
fatcat:phw33gblwrhyriw27vp5mto2hq
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
2021
Information Fusion
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The XAI becomes more and more crucial for deep learning powered applications, especially for medical and healthcare studies, although in general these deep neural networks can return an arresting dividend ...
Explainable Artificial Intelligence (XAI) is an emerging research topic of machine learning aimed at unboxing how AI systems' black-box choices are made. ...
Artificial Intelligence") OR ALL("XAI")) AND (ALL("medical") OR ALL("medicine")) AND PUBYEAR = 20XX, in which XX represents the actual year. ...
doi:10.1016/j.inffus.2021.07.016
pmid:34980946
pmcid:PMC8459787
fatcat:3rmzvn72dbgglcddgolce2xsfe
OSTP-AWhite House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence
2017
Figshare
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White House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence ...
FLI helped to develop a set of suggested "Research Priorities for Robust and Beneficial Artificial Intelligence" along these lines (available at http://futureoflife.org/data/documents/research_priorities.pdf ...
For the long term, we recommend policies that will encourage the designers of transformative AI systems to work together cooperatively, perhaps through multinational and multicorporate collaborations, ...
doi:10.6084/m9.figshare.4640305
fatcat:26aelpe4ejbupao5yh2mys2pzq
The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health
2021
Information Systems Frontiers
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Simultaneously, artificial intelligence (AI) powered social media offers digital capabilities for organizations to select, screen, detect and predict problems with possible solutions through digital health ...
AbstractSocial media enables medical professionals and authorities to share, disseminate, monitor, and manage health-related information digitally through online communities such as Twitter and Facebook ...
Beijing Principle, which is the first principle of artificial intelligence for children, has been stated in 2020 and has proposed four values including dignity, growth, fairness, and children first. ...
doi:10.1007/s10796-021-10191-z
pmid:34539226
pmcid:PMC8435400
fatcat:7z56ylzmy5auhfsqf65tq4y6mq
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