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Towards a Framework Combining Machine Ethics and Machine Explainability
[article]
2019
pre-print
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In this paper, we try to motivate and work towards a framework combining Machine Ethics and Machine Explainability. ...
The result of our deliberations can be described as a first version of an ethically motivated, principle-governed framework combining Machine Ethics and Machine Explainability ...
Conclusion In this paper, we introduced a formal and general framework combining Machine Ethics and Machine Explainability. ...
doi:10.4204/eptcs.286.4
arXiv:1901.00590v1
fatcat:j545pgjthbdwtc2ntrqluuqcrq
A Framework for Designing Compassionate and Ethical Artificial Intelligence and Artificial Consciousness
2020
Interdisciplinary Description of Complex Systems
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We present a computational framework for engineering intelligence, empathy, and consciousness in machines. ...
We hope that this framework will allow us to better understand consciousness and design machines that are conscious and empathetic. ...
ACKNOWLEDGEMENTS The author would like to thank Irene Egli, Chayan Chakrabarti, Tarakeswar Banerjee, Kalyani Banerjee, Linda Iglehart, Peter Grindrod, Franziska Diethelm and Joyeeta Ghose for fruitful ...
doi:10.7906/indecs.18.2.2
fatcat:ngl44zgmafddto4jwdglnxilyq
Towards Ethical Machines Via Logic Programming
2019
Electronic Proceedings in Theoretical Computer Science
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2019 pre-print arXiv:1909.08255v1 fatcat:ukl3z4bthnam5mnhjntegbigke
Thus, we need to ensure that they behave ethically. In this work we propose a hybrid logic-based approach for ethical chatbots. ...
They contain information about us and start to perform tasks on our behalves. Chatbots are an example of such agents that need to engage in a complex conversations with humans. ...
The approach proposed in this work combine deductive(rule-based) logic programming and inductive(learning) logic programming approaches in one framework for building our ethical agent. ...
doi:10.4204/eptcs.306.39
fatcat:vby7ppeb7bc2dch4wcvn7tatpy
Building Ethics into Artificial Intelligence
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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decision frameworks; 3) collective ethical decision frameworks; and 4) ethics in human-AI interactions. ...
We highlight the intuitions and key techniques used in each approach, and discuss promising future research directions towards successful integration of ethical AI systems into human societies. ...
MOH/NIC/COG04/2017); Nanyang Technological University, Nanyang Assistant Professorship (NAP); and the NTU-PKU Joint Research Institute, a collaboration between Nanyang Technological University and Peking ...
doi:10.24963/ijcai.2018/779
dblp:conf/ijcai/YuSMLL018
fatcat:zqehjvmlf5b2rkyemjvlsniqhi
Artificial Intelligence in Health Policy – A Global Perspective
2021
Global Journal of Computer Science and Technology
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This review also suggests a framework that we reflect is a better case involving "responsible AI" and "permission less innovation." ...
Objective: Several hypotheses are set forward to design a policy framework for AI technologies was discussed. ...
Hence, in addition to Fairness, Accountability, Transparency, and Ethics, human rights serve as a complementary framework for guiding and governing AI and machine learning research and development. ...
doi:10.34257/gjcsthvol21is1pg1
fatcat:vmbh6o4dhbctjanoik4tsfdkgy
Building Ethics into Artificial Intelligence
[article]
2018
arXiv
pre-print
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decision frameworks; 3) collective ethical decision frameworks; and 4) ethics in human-AI interactions. ...
We highlight the intuitions and key techniques used in each approach, and discuss promising future research directions towards successful integration of ethical AI systems into human societies. ...
MOH/NIC/COG04/2017); and the NTU-PKU Joint Research Institute, a collaboration between Nanyang Technological University and Peking University that is sponsored by a donation from the Ng Teng Fong Charitable ...
arXiv:1812.02953v1
fatcat:qkrvws7psbc47kgqhupuqdausy
The relationship between trust in AI and trustworthy machine learning technologies
[article]
2019
arXiv
pre-print
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We consider four categories of machine learning technologies, namely these for Fairness, Explainability, Auditability and Safety (FEAS) and discuss if and how these possess the required qualities. ...
FEAS has obvious relations with known frameworks and therefore we relate FEAS to a variety of international Principled AI policy and technology frameworks that have emerged in recent years. ...
[88] provide a critical analysis of frameworks for ethical machine learning and highlights a number of challenges, some of which require attention from a technical perspective. ...
arXiv:1912.00782v2
fatcat:65yuc7yqxjd5bkc3kyul45huma
Responsible and Representative Multimodal Data Acquisition and Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability
[article]
2019
arXiv
pre-print
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Factors such as Auditability, Benchmarking, Confidence, Data-reliance, and Explainability (ABCDE), have been touched upon within the machine learning community, and here we lay out these ABCDE sub-categories ...
The ethical decisions behind the acquisition and analysis of audio, video or physiological human data, harnessed for (deep) machine learning algorithms, is an increasing concern for the Artificial Intelligence ...
Multimodal machine learning: a survey and taxonomy. arXiv, abs/1705.09406. Baum, K., Hermanns, H., and Speith, T. (2018) . From machine ethics to machine explainability and back. In Proc. of Int. ...
arXiv:1903.07171v1
fatcat:3pghxovp35ccvapoqcqjfzecny
Computational thinking beyond STEM
2016
Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality - TEEM '16
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Students will be asked to logically base their reasoning on different ethical approaches and try to develop a schema of decision making that could serve to program a machine to respond to those situations ...
Students will have to deal also with the uncertainty of reaching solutions that will be debatable and not universally accepted as part of de difficulty, more ethical than technical, to provide machines ...
Machine Ethics and Moral Machines As Anderson and Anderson clearly explained [2] , there is a relatively new concept concerned with adding ethical dimension to machines that differs from the most commonly ...
doi:10.1145/3012430.3012494
fatcat:ihcprqoi4nhlveigxk6m67vz2i
Embedded ethics: some technical and ethical challenges
2018
Ethics and Information Technology
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of decisions through ethical frameworks. ...
Moreover, we are greatly indebted to Berreby et al (2015) for the way of formalizing ethical frameworks including the Doctrine of Double Effect, and to Cointe et al (2016) for having inspired the judgements ...
situation and explain why a given decision is ethically acceptable or not. ...
doi:10.1007/s10676-018-9444-x
fatcat:siu3h5ifdjff5fqf6zxca7ifsi
HUMAN-MACHINE WRITING AND THE ETHICS OF LANGUAGE MODELS
2020
Selected Papers of Internet Research, SPIR
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What are the implications—for us, for our society—as we enter the age of AI writing systems, an era moving rapidly toward a world in which writing is produced mostly by machines rather than humans? ...
Our analysis draws from the field of machine ethics, as well as communication/language theory. ...
Our ethics framework draws from the field of machine ethics (e.g., Dignum, 2018; Floridi, 2018; Leikas et al., 2019; Malle, 2016) , as well as communication/language theory (e.g., Bengtsson, 2018; Chai ...
doi:10.5210/spir.v2020i0.11277
fatcat:px4avkbotzdi3jos54sylyuvey
The Limits of Machine Ethics
2017
Religions
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This paper provides a general framework for classifying the different approaches that are currently being explored in the field of machine ethics and introduces considerations that are missing from the ...
Machine Ethics has established itself as a new discipline that studies how to endow autonomous devices with ethical behavior. ...
However, the point of combining two different modes of ethical reasoning is extremely powerful and is also one of the features of the framework for machine ethics provided in this paper. more ethical behavior ...
doi:10.3390/rel8050100
fatcat:kvaipzkqv5d3reblkufkztxlca
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing
[article]
2022
arXiv
pre-print
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Based on these challenges, we developed a reference software architecture based on knowledge graphs, tracking and scene analysis, and components for relational machine learning with a particular focus ...
In the frame of the EU funded Teaming.AI project, we identified the monitoring of teaming aspects in human-AI collaboration, the runtime monitoring and validation of ethical policies, and the support for ...
ACKNOWLEDGEMENTS This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 957402. ...
arXiv:2201.04876v5
fatcat:3hxd3pqomzbi7a6zm54f47hnry
Toward an Ethical Framework for Web-Based Collective Intelligence
[chapter]
2014
Advances in Intelligent Systems and Computing
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Based on a combination of previous ethical frameworks that regulate the ethical behavior in the age of information societies, moral intelligent theories, and ethical theories of collaborative business ...
Web-based collective intelligence deserves and intends to become a full discipline with its formal framework, tools, measuring instruments, practical applications, and ethical field. ...
Web-based collective intelligence intends and deserves to become a full discipline, with its formal framework, tools, measuring instruments, practical applications, and ethical field [10], [11], [12] ...
doi:10.1007/978-3-319-05951-8_36
fatcat:mywurazvlvfd3i6buu7o3djiy4
Entanglement
2017
A Peer-Reviewed Journal About
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, as an outcome of machine learning rather than a framework of values. ...
More specifically, I focus on the moment of real and imagined crashes involving driver-less cars, and argue that the narrative of 'ethics of driver-less cars' indicates a shift in the construction of ethics ...
, as an outcome of machine learning rather than a framework of values. ...
doi:10.7146/aprja.v6i1.116013
fatcat:4jjrpgrljzcqfet3wzi4zu3twm
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