scholarly journals Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Societies ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 23 ◽  
Author(s):  
Aspen Lillywhite ◽  
Gregor Wolbring
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
English Language ◽  
People With Disabilities ◽  
Canadian English ◽  
Disabled People ◽  
Social Good ◽  
Academic Literature ◽  
The Social

Artificial intelligence (AI) and machine learning (ML) advancements increasingly impact society and AI/ML ethics and governance discourses have emerged. Various countries have established AI/ML strategies. “AI for good” and “AI for social good” are just two discourses that focus on using AI/ML in a positive way. Disabled people are impacted by AI/ML in many ways such as potential therapeutic and non-therapeutic users of AI/ML advanced products and processes and by the changing societal parameters enabled by AI/ML advancements. They are impacted by AI/ML ethics and governance discussions and discussions around the use of AI/ML for good and social good. Using identity, role, and stakeholder theories as our lenses, the aim of our scoping review is to identify and analyze to what extent, and how, AI/ML focused academic literature, Canadian newspapers, and Twitter tweets engage with disabled people. Performing manifest coding of the presence of the terms “AI”, or “artificial intelligence” or “machine learning” in conjunction with the term “patient”, or “disabled people” or “people with disabilities” we found that the term “patient” was used 20 times more than the terms “disabled people” and “people with disabilities” together to identify disabled people within the AI/ML literature covered. As to the downloaded 1540 academic abstracts, 234 full-text Canadian English language newspaper articles and 2879 tweets containing at least one of 58 terms used to depict disabled people (excluding the term patient) and the three AI terms, we found that health was one major focus, that the social good/for good discourse was not mentioned in relation to disabled people, that the tone of AI/ML coverage was mostly techno-optimistic and that disabled people were mostly engaged with in their role of being therapeutic or non-therapeutic users of AI/ML influenced products. Problems with AI/ML were mentioned in relation to the user having a bodily problem, the usability of AI/ML influenced technologies, and problems disabled people face accessing such technologies. Problems caused for disabled people by AI/ML advancements, such as changing occupational landscapes, were not mentioned. Disabled people were not covered as knowledge producers or influencers of AI/ML discourses including AI/ML governance and ethics discourses. Our findings suggest that AI/ML coverage must change, if disabled people are to become meaningful contributors to, and beneficiaries of, discussions around AI/ML.

scholarly journals Reports on the 2017 AAAI Spring Symposium Series

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 99-106
Author(s):  
Jeannette Bohg ◽  
Xavier Boix ◽  
Nancy Chang ◽  
Elizabeth F. Churchill ◽  
Vivian Chu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Science ◽  
User Experience ◽  
Object Perception ◽  
Learning Systems ◽  
Language Understanding ◽  
Social Good ◽  
Symposium Series ◽  
The Social

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2017 Spring Symposium Series, held Monday through Wednesday, March 27–29, 2017 on the campus of Stanford University. The eight symposia held were Artificial Intelligence for the Social Good (SS-17-01); Computational Construction Grammar and Natural Language Understanding (SS-17-02); Computational Context: Why It's Important, What It Means, and Can It Be Computed? (SS-17-03); Designing the User Experience of Machine Learning Systems (SS-17-04); Interactive Multisensory Object Perception for Embodied Agents (SS-17-05); Learning from Observation of Humans (SS-17-06); Science of Intelligence: Computational Principles of Natural and Artificial Intelligence (SS-17-07); and Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing (SS-17-08). This report, compiled from organizers of the symposia, summarizes the research that took place.

scholarly journals Artificial intelligence and machine learning in dynamic cyber risk analytics at the edge

2020 ◽  
Vol 2 (11) ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Rob Walton ◽  
Max Van Kleek ◽  
Rafael Mantilla Montalvo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Academic Literature ◽  
The Past ◽  
Technological Advances ◽  
New Process ◽  
Technical Systems ◽  
Iot Devices ◽  
Cyber Risk

AbstractWe explore the potential and practical challenges in the use of artificial intelligence (AI) in cyber risk analytics, for improving organisational resilience and understanding cyber risk. The research is focused on identifying the role of AI in connected devices such as Internet of Things (IoT) devices. Through literature review, we identify wide ranging and creative methodologies for cyber analytics and explore the risks of deliberately influencing or disrupting behaviours to socio-technical systems. This resulted in the modelling of the connections and interdependencies between a system's edge components to both external and internal services and systems. We focus on proposals for models, infrastructures and frameworks of IoT systems found in both business reports and technical papers. We analyse this juxtaposition of related systems and technologies, in academic and industry papers published in the past 10 years. Then, we report the results of a qualitative empirical study that correlates the academic literature with key technological advances in connected devices. The work is based on grouping future and present techniques and presenting the results through a new conceptual framework. With the application of social science's grounded theory, the framework details a new process for a prototype of AI-enabled dynamic cyber risk analytics at the edge.

scholarly journals An Overview of Machine Learning and 5G for People with Disabilities

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7572
Author(s):  
Mari Carmen Domingo
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
People With Disabilities ◽  
Disabled People ◽  
Network Slicing ◽  
Economic Opportunities ◽  
5G Network

Currently, over a billion people, including children (or about 15% of the world’s population), are estimated to be living with disability, and this figure is going to increase to beyond two billion by 2050. People with disabilities generally experience poorer levels of health, fewer achievements in education, fewer economic opportunities, and higher rates of poverty. Artificial intelligence and 5G can make major contributions towards the assistance of people with disabilities, so they can achieve a good quality of life. In this paper, an overview of machine learning and 5G for people with disabilities is provided. For this purpose, the proposed 5G network slicing architecture for disabled people is introduced. Different application scenarios and their main benefits are considered to illustrate the interaction of machine learning and 5G. Critical challenges have been identified and addressed.

THE USE OF THE TRANSLATION METHOD IN MASTERING THE TERMS

2019 ◽  
pp. 87-95
Keyword(s):  
International Relations ◽  
English Language ◽  
Structural Features ◽  
Point Of View ◽  
General Classification ◽  
Optimal Methods ◽  
Foreign Companies ◽  
The Social ◽  
Problems Of Translation

The article is devoted to the role of Tourism terminology in linguistics and the issue of general classification, peculiarities in the expression and translation of terms related to tourism in English into Uzbek and Russian, as well as the choice of the most optimal methods for translating terms in accordance with the requirements of this professional sphere. The terminology of the English language tourism is distinguished by its brightness, versatility. Tourism terms are formed under the influence of a generalized lexical layer of language and perform a specific functional function.Tourism terms are formed through the affixation method (prefixation, suffixation, circumphixation) and get rich through the process.The terminology of English Tourism is distinguished by its content and structural features, forming a part of the language vocabulary from the linguistic point of view. Texts in the field of Tourism take into their composition concepts of Tourism and interpret them in their content. They will be mainly in the form of advertising, as well as enlighten information about a particular region or place, create informational precedents and ensure their manifestation in the social cultural presence. The relevance of the study of the problems of translation of terms in the field of tourism has been investigated, mainly due to the development of international relations, expansion of cooperation between local and foreign companies, as well as the increase in this area of communication.

scholarly journals Solidarity with disabled people in times of crisis: A comparative analysis of Italy and the UK

2021 ◽  
pp. 026858092199450
Author(s):  
Nicola Maggini ◽  
Tom Montgomery ◽  
Simone Baglioni
Keyword(s):  
Social Trust ◽  
Important Determinant ◽  
Social Embeddedness ◽  
Disabled People ◽  
The Social ◽  
Religious Piety ◽  
Active Nature ◽  
The One ◽  
The Uk

Against the background of crisis and cuts, citizens can express solidarity with groups in various ways. Using novel survey data this article explores the attitudes and behaviours of citizens in their expressions of solidarity with disabled people and in doing so illuminates the differences and similarities across two European contexts: Italy and the UK. The findings reveal pools of solidarity with disabled people across both countries that have on the one hand similar foundations such as the social embeddedness and social trust of citizens, while on the other hand contain some differences, such as the more direct and active nature of solidarity in Italy compared to the UK and the role of religiosity as an important determinant, particularly in Italy. Across both countries the role of ‘deservingness’ was key to understanding solidarity, and the study’s conclusions raise questions about a solidarity embedded by a degree of paternalism and even religious piety.

scholarly journals An analytical survey on the role of machine learning algorithms in case of intrusion detection

2020 ◽  
Vol 5 (19) ◽  
pp. 32-35
Author(s):  
Anand Vijay ◽  
Kailash Patidar ◽  
Manoj Yadav ◽  
Rishi Kushwah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Handling Mechanism ◽  
The Impact

In this paper an analytical survey on the role of machine learning algorithms in case of intrusion detection has been presented and discussed. This paper shows the analytical aspects in the development of efficient intrusion detection system (IDS). The related study for the development of this system has been presented in terms of computational methods. The discussed methods are data mining, artificial intelligence and machine learning. It has been discussed along with the attack parameters and attack types. This paper also elaborates the impact of different attack and handling mechanism based on the previous papers.

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