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Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI [article]

Alon Jacovi, Ana Marasović, Tim Miller, Yoav Goldberg
2021 arXiv   pre-print
What are the prerequisites and goals of the cognitive mechanism of trust, and how can we promote them, or assess whether they are being satisfied in a given interaction?  ...  Trust is a central component of the interaction between people and AI, in that 'incorrect' levels of trust may cause misuse, abuse or disuse of the technology.  ...  Australian Research Council (ARC) Discovery Grant DP190103414: Explanation in Artificial Intelligence: A Human-Centred Approach.  ... 
arXiv:2010.07487v3 fatcat:xxatatyf55dy5hy3xqtvsxlqci

In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions

Andrea Ferrario, Michele Loi, Eleonora Viganò
2019 Philosophy & Technology  
Real engines of the artificial intelligence (AI) revolution, machine learning (ML) models, and algorithms are embedded nowadays in many services and products around us.  ...  We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs.  ...  The Case of e-trust E-trust is an interesting approach to trust in digital environments and in the presence of artificial agents (of which AIs are part of).  ... 
doi:10.1007/s13347-019-00378-3 fatcat:7rtpyupt2zgvdfjshkdledqx4q

Towards a Grounded Dialog Model for Explainable Artificial Intelligence [article]

Prashan Madumal, Tim Miller, Frank Vetere, Liz Sonenberg
2018 arXiv   pre-print
To generate trust with their users, Explainable Artificial Intelligence (XAI) systems need to include an explanation model that can communicate the internal decisions, behaviours and actions to the interacting  ...  In this paper we focus on the challenge of meaningful interaction between an explainer and an explainee and investigate the structural aspects of an explanation in order to propose a human explanation  ...  the University of Melbourne; and a Sponsored Research Collaboration grant from the Commonwealth of Australia Defence Science and Technology Group and the Defence Science Institute, an initiative of the  ... 
arXiv:1806.08055v1 fatcat:6lknwpzz6fbd5hmld6s5qlofxu

Ethical considerations about artificial intelligence for prognostication in intensive care

Michael Beil, Ingo Proft, Daniel van Heerden, Sigal Sviri, Peter Vernon van Heerden
2019 Intensive Care Medicine Experimental  
For several applications in medicine, new methods from the field of artificial intelligence (AI) and machine learning have already outperformed conventional prediction models.  ...  Moreover, a system of continuous oversight can help to maintain public trust in this technology.  ...  New prognostication techniques from the field of artificial intelligence (AI) and machine learning can process large amounts of data and have already demonstrated promising results in clinical studies  ... 
doi:10.1186/s40635-019-0286-6 pmid:31823128 pmcid:PMC6904702 fatcat:yq6am5oamrc6tokkw5l5gb7x6q

Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence

Yanyan Dong, Jie Hou, Ning Zhang, Maocong Zhang, Ruofeng Rao
2020 Complexity  
Artificial intelligence (AI) is essentially the simulation of human intelligence. Today's AI can only simulate, replace, extend, or expand part of human intelligence.  ...  In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era  ...  Conflicts of Interest e authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2020/1680845 fatcat:g27x4rbo7rcqbdmlglj5olplru

A Grounded Interaction Protocol for Explainable Artificial Intelligence [article]

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere
2019 arXiv   pre-print
Explainable Artificial Intelligence (XAI) systems need to include an explanation model to communicate the internal decisions, behaviours and actions to the interacting humans.  ...  We formalize the model using the agent dialogue framework (ADF) as a new dialogue type and then evaluate it in a human-agent interaction study with 101 dialogues from 14 participants.  ...  We also acknowledge the support of Joshua Newn and Ronal Singh, given in conducting the study.  ... 
arXiv:1903.02409v1 fatcat:7suvnn24tbbxppxbmtjv5rtfbq

Ethical Framework for Designing Autonomous Intelligent Systems

Jaana Leikas, Raija Koivisto, Nadezhda Gotcheva
2019 Journal of Open Innovation: Technology, Market and Complexity  
To open this discussion, this article presents a review of ethical principles in the context of artificial intelligence design, and introduces an ethical framework for designing autonomous intelligent  ...  We need new design approaches, methodologies and processes to deploy ethical thought and action in the contexts of autonomous intelligent systems.  ...  The European Group on Ethics in Science and New Technologies (EGE) published Statement on Artificial Intelligence, Robotics and Autonomous Systems (2017) [55] , where the following prerequisites are proposed  ... 
doi:10.3390/joitmc5010018 fatcat:mt64bl3t6nff5aoby7zmf24m4u

Regulating Artificial Intelligence: Proposal for a Global Solution [article]

Olivia J. Erdélyi, Judy Goldsmith
2020 arXiv   pre-print
With increasing ubiquity of artificial intelligence (AI) in modern societies, individual countries and the international community are working hard to create an innovation-friendly, yet safe, regulatory  ...  creating uniform standards for the regulation of AI technologies and inform the development of AI policies around the world.  ...  Introduction Emerging technologies commonly described by the generic term artificial intelligence (AI) are becoming increasingly pervasive in human society.  ... 
arXiv:2005.11072v1 fatcat:fqelxhad4zfjnpzesno5utl47i

Causability and explainabilty of artificial intelligence in medicine

Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller
2019 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
Explainable artificial intelligence (AI) is attracting much interest in medicine.  ...  In this article, we provide some necessary definitions to discriminate between explainability and causability as well as a use-case of DL interpretation and of human explanation in histopathology.  ...  ACKNOWLEDGMENTS We gratefully acknowledge the support of our industrial partner Kapsch, the Biobank Graz, the BBMRI.at team, the EU fea-tureCloud project and the critical review from our colleagues at  ... 
doi:10.1002/widm.1312 pmid:32089788 pmcid:PMC7017860 fatcat:hx6uebyu5jbytm5fvuhcoknuqy

Regulation of Artificial Intelligence in BRICS and the European Union

D. Cyman, E. Gromova, E. Juchnevicius
2021 BRICS Law Journal  
Global digitization and the emergence of Artificial Intelligence-based technologies pose challenges for all countries. The BRICS and European Union countries are no exception.  ...  The analysis is based on the application of comparative and formal juridical analysis of the legislation of the selected countries on AI and other digital technologies.  ...  Trust is a sine qua non prerequisite to ensure a human-centric approach to AI.  ... 
doi:10.21684/2412-2343-2021-8-1-86-115 fatcat:ghchi25z6jhxraqjitymlvpafm

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications [article]

Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler
2021 arXiv   pre-print
Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications.  ...  We are convinced that our approach can serve as the foundation for the certification of applications that use Machine Learning and Deep Learning, the techniques that drive the current revolution in Artificial  ...  Artificial Intelligence (AI): The term Artificial Intelligence was coined by John McCarthy in the "Dartmouth Summer Project on Artificial Intelligence" in 1956 [11] .  ... 
arXiv:2103.16910v1 fatcat:xd37dtaxr5brjmljzvp3sr6lqa

Accelerating Decision-Making in Transport Emergency with Artificial Intelligence

Alexander Raikov
2020 Advances in Science, Technology and Engineering Systems  
Artificial intelligence (AI), big data analysis, and deep learning methods suggested in this paper for decisionmaking support have a cognitive character, i.e., try to take into account the thoughts and  ...  Several groups of representatives of various services and observers participate in those meetings.  ...  Acknowledgment Supported by the Russian Foundation for Basic Research, grant No 18-29-03086 "Methods for identifying the needs of economic sectors in digital platforms and end-to-end technologies based  ... 
doi:10.25046/aj050662 fatcat:iir66vfz6beb5jn6j3y4ykqz4u

Artificial Intelligence [article]

Denis Rothman
2018 Zenodo  
In May 2017, Google revealed AutoML, an automated machine learning system that could create an artificial intelligence solution without the assistance of a human engineer.  ...  GitHub and other cloud platforms already provide thousands of machine learning programs, reducing the need of having an AI expert at hand.  ...  The real challenge of artificial intelligence begins in the abstract universe of human thinking.  ... 
doi:10.5281/zenodo.5599649 fatcat:vyqr3zzw5rfzpp3zifezw7uzxq

Can artificial intelligence transform higher education?

Tony Bates, Cristóbal Cobo, Olga Mariño, Steve Wheeler
2020 International Journal of Educational Technology in Higher Education  
The purpose of this special edition, as expressed in the journal's call for papers, is to examine the potential and actual impact of artificial intelligence (AI) on teaching and learning in higher education  ...  applications for teaching and learning in HE; the impact of AI on the assessment of learning; the potential of AI technologies to enhance teaching and learning in HE; the impact of AI on the role of human  ...  Artificial intelligence is in widespread use in some areas of society.  ... 
doi:10.1186/s41239-020-00218-x fatcat:iw5qjgrpvbcxjcw7s2qq6gt7om

Harmonizing Artificial Intelligence for Social Good

Nicolas Berberich, Toyoaki Nishida, Shoko Suzuki
2020 Philosophy & Technology  
We propose that the central challenge of building harmonizing AI is to make intelligent systems tactful and also to design and use them tactfully.  ...  In this paper, we propose that the addition of the concept of harmony to the discussion on ethical AI would be highly beneficial due to its centrality in East Asian cultures and its applicability to the  ...  To view a copy of this licence, visit http://creativecommonshorg/licenses/by/4. 0/.  ... 
doi:10.1007/s13347-020-00421-8 fatcat:ho3qzzznenaslhlptdu4qanz7a
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