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Human-Centered Artificial Intelligence: Three Fresh Ideas
2020
AIS Transactions on Human-Computer Interaction
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Human-Centered AI (HCAI) is a promising direction for designing AI systems that support human self-efficacy, promote creativity, clarify responsibility, and facilitate social participation. ...
This commentary reverses the current emphasis on algorithms and AI methods, by putting humans at the center of systems design thinking, in effect, a second Copernican Revolution. ...
Smith, Wei Xu, and the anonymous reviewers for their supportive comments and thoughtful suggestions that greatly improved the draft versions. Thanks to Chris Carroll for thoughtful edits. ...
doi:10.17705/1thci.00131
fatcat:b3n45pwetrhfhdccdtvbw36d4a
Reinforcement Learning in Practice: Opportunities and Challenges
[article]
2022
arXiv
pre-print
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, computer systems, and science and engineering. ...
This article is a gentle discussion about the field of reinforcement learning in practice, about opportunities and challenges, touching a broad range of topics, with perspectives and without technical ...
CONSTRAINTS Besides predictive and optimal, it is desirable for an AI system to be safe, robust, adaptive, reliable, stable, transparent, fair, trustworthy, explainable, etc., and not to have behaviours ...
arXiv:2202.11296v2
fatcat:xdtsmme22rfpfn6rgfotcspnhy
AI Ethics as Applied Ethics
2022
Frontiers in Computer Science
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The need to design and develop artificial intelligence (AI) in a sustainable manner has motivated researchers, institutions, and organizations to formulate suggestions for AI ethics. ...
We discuss bioethics as a point of reference for weighing the metaethical and methodological approaches adopted in AI ethics, and propose that AI ethics could be made more methodologically solid and substantively ...
ACKNOWLEDGMENTS We would like to thank Editage (www.editage.com) for English language editing. ...
doi:10.3389/fcomp.2022.776837
fatcat:k532k5cklzhnnlqsud2hbxsbfq
12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context
2022
Frontiers in Digital Health
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If we continue to prospectively address and manage these concerns with reliable solutions and appropriate system processes in place, then we as a field may further optimize the clinical applicability and ...
AI techniques, such as machine learning (ML), have proven the ability to model enormous amounts of complex data and biological phenomena in ways only imaginable with human abilities alone. ...
A notable increase in recent efforts has been put forth by cloud providers and hardware manufactures to provide development frameworks which bridge the gap between an approach to a problem and the hardware ...
doi:10.3389/fdgth.2022.765406
pmid:35592460
pmcid:PMC9110785
fatcat:6v7s6fvmnjdw3ewpvim4diwiz4
Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI
[article]
2020
arXiv
pre-print
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between trading partners' policies and EU policies; 3) analyze the gaps in the ecosystem between theoretical frameworks and approaches to building trustworthy AI; 4) focus on coordination and policy alignment ...
transfer and develop AI expertise through Digital Innovation Hubs; 8) add nuance to the discussion regarding the opacity of AI systems; 9) create a process for individuals to appeal an AI system's decision ...
and deployment of AI systems .
12 One of our key recommendations is to analyze the gaps in the current ecosystem such that we can bridge the gap between theoretical frameworks and approaches to building ...
arXiv:2006.09428v1
fatcat:vlmeanlexrh5lebfpt2rkgvzom
Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
2021
Applied Sciences
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The need for XAI in CDSS, and the medical field in general, is amplified by the need for ethical and fair decision-making and the fact that AI trained with historical data can be a reinforcement agent ...
and acceptability of the system and potential for its incorporation in the clinical workflow. ...
The authors agree with the human-computer interaction community that interdisciplinary cooperation and user-centered approaches to explainability are required to close the gaps between XAI and practices ...
doi:10.3390/app11115088
fatcat:rtawp4nsunh7zjr66atz7x63r4
Sustainability of AI: The Case of Provision of Information to Consumers
2021
Sustainability
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However, the technical, ethical, and legal literature on how AI, including its design, training, implementation, and use can be sustainable, is rather limited. ...
The potential of artificial intelligence (AI) and its manifold applications have fueled the discussion around how AI can be used to facilitate sustainable objectives. ...
published its final version of the Ethics Guidelines for Trustworthy AI following a public consultation [21] . ...
doi:10.3390/su132112064
doaj:59d2113f083c465b99e9a05af3c94073
fatcat:lnajvnjjcvgq7fn57q6dcbedkm
Regulation of Artificial Intelligence in BRICS and the European Union
2021
BRICS Law Journal
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For this reason, one of the most important tasks for BRICS and the EU is to develop an adequate approach to the regulation of AI-based technologies. ...
At the present time, an essential means of doing so is for BRICS and the EU to implement smart policy and create suitable conditions for the development of digital technologies, including AI. ...
On 8 April 2019, the AI HLEG published its Ethics Guidelines for Trustworthy AI. 60 According to the Guidelines, trustworthy AI has three main components: 1. ...
doi:10.21684/2412-2343-2021-8-1-86-115
fatcat:ghchi25z6jhxraqjitymlvpafm
Legal Design Perspectives. Theoretical and Practical Insights from the Field
[article]
2021
Zenodo
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The volume brings together critical essays on the nature and methods of Legal Design and illustrations from the practice. ...
Over the last few years, Legal Design has grown as a field of research and practice. ...
USER RESEARCH METHODOLOGIES IN LEGAL DESIGN PROJECTS: LESSONS FROM PRACTICE Joaquin Santuber and Lina Krawietz ...
doi:10.5281/zenodo.5710845
fatcat:7lylx2dv6zh4hpw2gmpjowo37q
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness
[article]
2021
arXiv
pre-print
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It is further important to provide bridges and collaboration between edge computing and CPS disciplines. ...
with the limitations and constraints of cloud and embedded systems. ...
Next, we discuss the findings, identify research gaps and treat validity ACKNOWLEDGMENTS This research has been carried out as part of the TECoSA Vinnova Competence Center for Trustworthy Edge Computing ...
arXiv:2112.00619v1
fatcat:vujvq4kjyfgn5mt64wlenpxvum
State of AI Ethics Report (Volume 6, February 2022)
[article]
2022
arXiv
pre-print
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The report is a comprehensive overview of what the key issues in the field of AI ethics were in 2021, what trends are emergent, what gaps exist, and a peek into what to expect from the field of AI ethics ...
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. ...
Recent work on AI ethics has often been human-centered, such as on "AI for people", "AI for humanity", "human-compatible AI", and "human-centered AI". ...
arXiv:2202.07435v1
fatcat:wbalu3j3ynelfim7eqvxcpwu3q
The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health
2021
Information Systems Frontiers
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However, arising ethical concerns related to the use of AI raised by stakeholders need scrutiny which could help organizations obtain trust, minimize privacy invasion, and eventually facilitate the responsible ...
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 ...
According to the European Commission's 'Ethics Guidelines for Trustworthy AI,' trustworthy AI should be lawful, ethical, and robust both from a technical perspective and social environment (European Group ...
doi:10.1007/s10796-021-10191-z
pmid:34539226
pmcid:PMC8435400
fatcat:7z56ylzmy5auhfsqf65tq4y6mq
Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice
[article]
2021
arXiv
pre-print
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We advocate quantitative methods of security management and design, covering vulnerability scoring systems tailored to robotic systems, and accounting for the highly distributed nature of robots as an ...
This book is intended as an accessible starter for the theoretician and practitioner working in the field. ...
Acknowledgements The authors would like to thank the support that we receive from our institutions. We thank many of our friends and colleagues for their inputs and suggestions. ...
arXiv:2103.05789v4
fatcat:p3inkof6kbh3rds6jigvmq4doe
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
[article]
2020
arXiv
pre-print
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These provide a practice-based path to responsible AI/ML design and discovery centered on open, accountable, equitable, and democratically governed processes and products. ...
The need for researchers to act quickly and globally in tackling SARS-CoV-2 demands unprecedented practices of open research and responsible data sharing at a time when innovation ecosystems are hobbled ...
As it developed into a longer and more academic article, which aimed to reach a general audience but remain pertinent for specialists, thoughtful and incisive input from four anonymous reviewers and the ...
arXiv:2008.06755v1
fatcat:6jpyvvytonh4rauhmkh3ndtfzy
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
2021
Applied intelligence (Boston)
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Finally, a closing discussion is provided about the prospects, key guidelines and lessons learnt that should be adopted for guaranteeing a positive shift of artificial intelligence developments and applications ...
This study aims at providing a snapshot and comprehensive view of the progress made and prospects in the relationship between artificial intelligence technologies and the SDGs. ...
Acknowledgment This work was supported by the contract OTRI-4408 between the University of Granada and the Royal Academy of Engineering of Spain financed by Ferrovial S.A. ...
doi:10.1007/s10489-021-02264-y
pmid:34764606
pmcid:PMC8192224
fatcat:pszxzjypgzg77lswhv3sj2czfe
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