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Crowdsourcing moral machines

Edmond Awad, Sohan Dsouza, Jean-François Bonnefon, Azim Shariff, Iyad Rahwan
2020 Communications of the ACM  
Moral Machine Having made it clear our support of the use of AV-Trolleys for crowdsourcing the ethics of automated vehicles, the reason for this support, and the limitations of this crowdsourcing exercise  ...  Figure 1 . 1 A visual depiction of the classic Trolley Problem as displayed in the Moral Machine interface. Figure 2 . 2 Moral Machine-Judge interface.  ... 
doi:10.1145/3339904 fatcat:rgvn3nlzmnh43itgafynorfzge

Crowd-based applications and societal challenges

Gilberto Marzano
2020 European Journal of Bioethics  
In the light of augmented cognition, one can argue that a machine never makes a decision alone.  ...  There is a difference between societal decisions and decisions transferred to a machine in a productive context.  ...  Ključne riječi: privatnost građana, aplikacija temeljena na mnoštvu (crowd-based application), masovno prikupljanje (crowdsourcing), suradno opažanje (crowdsensing), građansko opažanje (citizensensing)  ... 
doi:10.21860/j.11.1.13 fatcat:4l6wynfuuredhajmag4jxuqu2u

Social Machines as an Approach to Group Privacy [chapter]

Kieron O'Hara, Dave Robertson
2016 Group Privacy  
of the moral question of whether a group should be empowered to achieve its particular goals.  ...  The rules of the challenge were intended to support the growth of a network of people taking part in the search, enabling a crowdsourced solution.  ... 
doi:10.1007/978-3-319-46608-8_6 fatcat:mu6zn653irhavf7v5sjnk7meau

Social Gamification in Enterprise Crowdsourcing

Gregory Afentoulidis, Zoltán Szlávik, Jie Yang, Alessandro Bozzon
2018 Proceedings of the 10th ACM Conference on Web Science - WebSci '18  
Enterprise crowdsourcing capitalises on the availability of employees for in-house data processing. Gamification techniques can help aligning employees' motivation to the crowdsourcing endeavour.  ...  We adopt a user-centric approach to apply and experiment with gamification for enterprise crowdsourcing purposes.  ...  The Moral Machine task ( Figure 2b ) is a survey tasks, based on a research on the morality of future Artificial Intelligence [5] . 2 The task mainly addresses learning incentives -as it helps to raise  ... 
doi:10.1145/3201064.3201094 dblp:conf/websci/AfentoulidisS0B18 fatcat:iqzp3mbhqzc6ve3n22fu5tu22m


Mohammad Jafarabad, Rouhollah Dianat
2019 International Journal of Engineering and Technology  
All language processing is done on the machine side. Of course, it is also possible to create a software and make it available to the crowdsourcing worker. What the crowdsourcing Worker Has to Do.  ...  Machine training techniques are used to determine polarity.  ... 
doi:10.21817/ijet/2019/v11i6/191106110 fatcat:wsjahum7prfijee6kiqnjcxtli

Updating a Declaration [Commentary]

John C. Havens
2016 IEEE technology & society magazine  
She is also founder of the Open Roboethics Initiative [12] (ORI), an organization that allows a multidisciplinary community to crowdsource people's opinions on ethical and moral issues surrounding emerging  ...  Her work and the crowdsourcing model provide a pragmatic and compelling way to examine issues of ethics in Artificial Intelligence.  ... 
doi:10.1109/mts.2016.2618777 fatcat:n2wmo4teh5h6nisdwbyv2u4uxm

The proper place of professionals (and non-professionals and machines) in web translation

Ignacio Garcia
2010 Tradumàtica tecnologies de la traducció  
The amount of work available to the professional translator on the web appears to be shrinking, due to the pincer effect of both machine translation and "crowdsourcing".  ...  The real accelerators were to be, however, as indicated, machine translation and crowdsourcing.  ...  Crowdsourcing was as yet unheard of.  ... 
doi:10.5565/rev/tradumatica.98 fatcat:7zpqcgqbzfey3d3lj2g7pbo4bi

Medical AI Security and Data Privacy in the Age of Computer Vision

Mohamed El-Hadi
2022 Compunet ( The Egyptian Information Journal )  
you want your machine learning model to predict.  ...  A major concern with crowdsourcing options is you don't always know.  ... 
doi:10.21608/jstc.2022.252011 fatcat:yol4k5452nhatph7iknstzd2le

A Word on Machine Ethics: A Response to Jiang et al. (2021) [article]

Zeerak Talat, Hagen Blix, Josef Valvoda, Maya Indira Ganesh, Ryan Cotterell, Adina Williams
2021 arXiv   pre-print
One proposal in this vein is the construction of morality models that can take in arbitrary text and output a moral judgment about the situation described.  ...  We conclude with a discussion of how machine ethics could usefully proceed, by focusing on current and near-future uses of technology, in a way that centers around transparency, democratic values, and  ...  ., which used a large crowdsourced dataset of judgments about situations to train a model to output moral prescriptions.  ... 
arXiv:2111.04158v1 fatcat:ewnffpikkralvi7iupseexzotu

Ethical by Design: Ethics Best Practices for Natural Language Processing

Jochen L. Leidner, Vassilis Plachouras
2017 Proceedings of the First ACL Workshop on Ethics in Natural Language Processing  
While a number of previous works exist that discuss ethical issues, in particular around big data and machine learning, to the authors' knowledge this is the first account of NLP and ethics from the perspective  ...  Moral Philosophy & Ethics.  ...  Machine Learning & Bias. Since 2014, the Fairness, Accountability, and Transparency in Machine Learning (FATML, 2014) workshop series (originally organized by S. Barocas and M.  ... 
doi:10.18653/v1/w17-1604 dblp:conf/ethnlp/LeidnerP17 fatcat:uhpoio32bvfp5oeqr6bmblgvei

What do crowd workers think about creative work? [article]

Jonas Oppenlaender, Aku Visuri, Kristy Milland, Panos Ipeirotis, Simo Hosio
2020 arXiv   pre-print
As information work is being more and more automated by Machine Learning algorithms, creativity - that is, a human's ability for divergent and convergent thinking - will play an increasingly important  ...  role on online crowdsourcing platforms.  ...  Given that creativity will play an increasingly important role in crowdsourcing due to human's ability to excel in areas that machines fall short, such as divergent thinking, recombination, and analogical  ... 
arXiv:2002.10887v1 fatcat:uqdn6qr7prgqpfwv3gxkttoj5y

Ethical norms and issues in crowdsourcing practices: A Habermasian analysis

Daniel Schlagwein, Dubravka Cecez-Kecmanovic, Benjamin Hanckel
2018 Information Systems Journal  
In this paper, we examine the ethics in crowdsourcing practices by focusing on three questions: a) what ethical issues exist in crowdsourcing practices?  ...  and, more generally, c) how can the ethics of crowdsourcing practices be established?  ...  This relates to the question of the "external" ethicality (or morality) of crowdsourcing in the wider societal context.  ... 
doi:10.1111/isj.12227 fatcat:4sld22pinndj3a5jqzpjbtjix4

Building Ethics into Artificial Intelligence [article]

Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser and Qiang Yang
2018 arXiv   pre-print
Firstly, the current mechanism of crowdsourcing self-reported preference on ethical dilemmas as represented by the Moral Machine project has its limitations.  ...  The proposed approach leverages data collected from the Moral Machine project.  ... 
arXiv:1812.02953v1 fatcat:qkrvws7psbc47kgqhupuqdausy

Building Ethics into Artificial Intelligence

Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Firstly, the current mechanism of crowdsourcing selfreported preference on ethical dilemmas, such as the Moral Machine project, has its limitations.  ...  The proposed approach leverages data collected from the Moral Machine project.  ... 
doi:10.24963/ijcai.2018/779 dblp:conf/ijcai/YuSMLL018 fatcat:zqehjvmlf5b2rkyemjvlsniqhi

CrimeID: Towards Crime Prevention and Community Safety in Indonesia using Mobile and Web Technology

Yohanes Sigit Purnomo W.P., Theresia Devi Indriasari, Kusworo Anindito, Yoshua Andrean, Jaka Galih Prasetyo
2019 International Journal of Interactive Mobile Technologies  
The citizen could participate individually as a crowd to annotate the crime data from news article through the crowdsourcing platform using gamification concept.  ...  Technology like natural language processing, machine learning or deep learning could be used to extract the crime information from text [21] [22] .  ...  The first group includes building moral barriers, reducing the emergence of new criminals, general prevention, proactive inability, disruption, and protecting targets that are prone to crime.  ... 
doi:10.3991/ijim.v13i09.10172 fatcat:5zx4f2nqbjg2jmfpwchll5u2fi
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