The Subject of Representation of Intention By Using Artificial Intelligence

2020 ◽  
Vol 30 (1) ◽  
pp. 285-317
Author(s):  
Choonghoon Lee
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shweta Banerjee

PurposeThere are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.Design/methodology/approachMaking use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.FindingsTechnology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.Research limitations/implicationsFrom robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.Practical implicationsFuture shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.Social implicationsThe study will be of interest to researchers, academics and the public in general. It will encourage further thinking.Originality/valueThis is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.


DIALOGO ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 189-200
Author(s):  
Tudor-Cosmin Ciocan ◽  
Any Docu Axelerad ◽  
Maria CIOCAN ◽  
Alina Zorina Stroe ◽  
Silviu Docu Axelerad ◽  
...  

Ancient beliefs such as astral projection, human possession, abduction and other similar are not only universal, taught by all religions, but also used as premises for core believes/expectations, such as after-life, eternal damnation, reincarnation, and many others. Transferring Consciousness to a Synthetic Body is also a feature of interest in our actual knowledge, both religious as for science. If immortality were an option, would you take it into consideration more seriously? Most people would probably dismiss the question since immortality isn’t a real deal to contract. But what if having eternal life was a possibility in today’s world? The possibility of the transfer of human consciousness to a synthetic body can soon become a reality, and it could help the world for the better. Thus, until recently, the subject was mostly proposed by religion(s) and saw as a spiritual [thus, not ‘materially real’ or ‘forthwith accomplishable’] proposal therefore not really fully engaged or trust if not a religious believer. Now, technology is evolving, and so are we. The world has come to a point where artificial intelligence is breaking the boundaries of our perception of human consciousness and intelligence. And with this so is our understanding about the ancient question ‘who are we?’ concerning consciousness and how this human feature sticks to our body or it can become an entity beyond the material flesh. Without being exhaustive with the theme's development [leaving enough room for further investigations], we would like to take it for a spin and see how and where the religious and neuroscience realms intersect with it for a global, perhaps holistic understanding. Developments in neurotechnology favor the brain to broaden its physical control further the restraints of the human body. Accordingly, it is achievable to both acquire and provide information from and to the brain and also to organize feedback processes in which a person's thoughts can influence the activity of a computer or reversely.


European View ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Alex Leveringhaus

This article discusses the need for an ethical framework for emerging robotic technologies. The temptation, arguably driven by sci-fi treatments of artificial intelligence, is to ask whether future robots should be considered quasi-humans. This article argues that such sci-fi scenarios have little relevance for current technological developments in robotics, nor for ethical approaches to the subject: for the foreseeable future robots will merely be useful tools. In response to emerging robotic technologies, this article proposes an ethical framework that makes a commitment to human rights, human dignity and responsibility a central priority for those developing robots. At a policy level, this entails (1) assessing whether the use of particular robots would result in human rights violations and (2) creating adequate institutions through which human individuals can be held responsible for what robots do.


Societies ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 135
Author(s):  
Marie McAuliffe ◽  
Jenna Blower ◽  
Ana Beduschi

Digitalization and artificial intelligence (AI) technologies in migration and mobility have incrementally expanded over recent years. Iterative approaches to AI deployment experienced a surge during 2020 and into 2021, largely due to COVID-19 forcing greater reliance on advanced digital technology to monitor, inform and respond to the pandemic. This paper critically examines the implications of intensifying digitalization and AI for migration and mobility systems for a post-COVID transnational context. First, it situates digitalization and AI in migration by analyzing its uptake throughout the Migration Cycle. Second, the article evaluates the current challenges and, opportunities to migrants and migration systems brought about by deepening digitalization due to COVID-19, finding that while these expanding technologies can bolster human rights and support international development, potential gains can and are being eroded because of design, development and implementation aspects. Through a critical review of available literature on the subject, this paper argues that recent changes brought about by COVID-19 highlight that computational advances need to incorporate human rights throughout design and development stages, extending well beyond technical feasibility. This also extends beyond tech company references to inclusivity and transparency and requires analysis of systemic risks to migration and mobility regimes arising from advances in AI and related technologies.


Author(s):  
Ralph Reilly ◽  
Andrew Nyaboga ◽  
Carl Guynes

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="layout-grid-mode: line; font-family: &quot;Times New Roman&quot;,&quot;serif&quot;;"><span style="font-size: x-small;">Facial Information Science is becoming a discipline in its own right, attracting not only computer scientists, but graphic animators and psychologists, all of whom require knowledge to understand how people make and interpret facial expressions. (Zeng, 2009). Computer advancements enhance the ability of researchers to study facial expression. Digitized computer-displayed faces can now be used in studies. Current advancements are facilitating not only the researcher&rsquo;s ability to accurately display information, but recording the subject&rsquo;s reaction automatically.<span style="mso-spacerun: yes;">&nbsp; </span><span style="mso-bidi-font-weight: bold;"><span style="mso-spacerun: yes;">&nbsp;</span></span>With increasing interest in Artificial Intelligence and man-machine communications, what importance does the gender of the user play in the design of today&rsquo;s multi-million dollar applications? Does research suggest that men and women respond to the &ldquo;gender&rdquo; of computer displayed images differently? Can this knowledge be used effectively to design applications specifically for use by men or women? This research is an attempt to understand these questions while studying whether automatic, or pre-attentive, processing plays a part in the identification of the facial expressions.</span></span></p>


2019 ◽  
Vol 4 (2) ◽  
pp. 87-100
Author(s):  
Aishath Muneeza ◽  
Shahbaz Nadwi

India is the home country for many Muslims and effective management of zakah is essential to the country. In this era of technology, it is imperative to use technology with zakat to ensure that the classical zakat administration approaches are upgraded to the uruf or customary practices of the society. The objective of this paper is to find out the potential of using technology in upgrading zakat administration in India. This is a qualitative approach where the primary sources such as zakat administration laws in India and secondary sources such as journal articles and published reports on the subject are analysed to derive conclusions. The findings of this paper suggest that the innovations such as rice ATMs, mobile applications, applications made with blockchain technology, artificial intelligence and big data can also play a vital role in the effective management of zakat in India. It is anticipated that the outcome of this research will assist the zakat administrators in India to adopt technology in this regard.   Keywords: Artificial intelligence, big Data, fintech, rice ATM, zakat


Author(s):  
Amandeep Singh Bhatia ◽  
Renata Wong

Quantum computing is a new exciting field which can be exploited to great speed and innovation in machine learning and artificial intelligence. Quantum machine learning at crossroads explores the interaction between quantum computing and machine learning, supplementing each other to create models and also to accelerate existing machine learning models predicting better and accurate classifications. The main purpose is to explore methods, concepts, theories, and algorithms that focus and utilize quantum computing features such as superposition and entanglement to enhance the abilities of machine learning computations enormously faster. It is a natural goal to study the present and future quantum technologies with machine learning that can enhance the existing classical algorithms. The objective of this chapter is to facilitate the reader to grasp the key components involved in the field to be able to understand the essentialities of the subject and thus can compare computations of quantum computing with its counterpart classical machine learning algorithms.


2019 ◽  
pp. 1-34
Author(s):  
Colin Burrow

The introduction sets out the argument of the book. It suggests that the imitation of authors (imitatio) is not primarily a matter of verbal appropriation but of learning practices from earlier texts. That process is intrinsically hard to describe, and as a result discussions of the topic in the rhetorical tradition relied on a rich store of metaphors. These were themselves to become part of the practice of imitation. The introduction describes the various kinds of imitatio which developed from the sixteenth to the eighteenth centuries: ‘adaptive’ imitation, in which an earlier text is made ‘apt’ to new times, and ‘formal imitation’, in which an author imitates not the exact words, but the favoured rhetorical structures of an earlier writer. It explains how the word ‘model’ came to be used of an imitated text, and explores the relationship between imitation, plagiarism, and ideas about intellectual property. It explains how regarding an ‘author’ as a potentially open-ended series of texts distinguished by their style and form connects early modern theories of imitation with contemporary interests in artificial intelligence. It briefly suggests some implications of the subject for writing outside Europe, and explains how this book departs from earlier studies of the topic in its scope and argument.


Author(s):  
Ilhami Tuncer

One of the most important points of consideration that will ensure the sustainability and profitability of businesses in the digitized world market is the experience offered to customers. Experience in business preferences, especially of the digitized customers, is quite specific. This chapter discussed the contribution of smart technologies to customer experience for restaurants, and emphasized its significance. Moreover, the subjects of artificial intelligence, smart technology, and QR code were addressed based on customer experience. The contribution offered to customers was emphasized by giving examples of smart technology applications used in restaurant businesses to improve customer experience. The chapter will contribute theoretically to the subject which has not been adequately studied in the literature.


Author(s):  
Lorenzo Magnani

This paper introduces an epistemological model of scientific reasoning which can be described in terms of abduction, deduction and induction. The aim is to emphasize the significance of abduction in order to illustrate the problem-solving process and to propose a unified epistemological model of scientific discovery. The model first describes the different meanings of the word abduction (creative, selective, to the best explanation, visual) in order to clarify their significance for epistemology and artificial intelligence. In different theoretical changes in theoretical systems we witness different kinds of discovery processes operating. Discovery methods are "data-driven," "explanation-driven" (abductive), and "coherence-driven" (formed to overwhelm contradictions). Sometimes there is a mixture of such methods: for example, an hypothesis devoted to overcome a contradiction is found by abduction. Contradiction, far from damaging a system, help to indicate regions in which it can be changed and improved. I will also consider a kind of "weak" hypothesis that is hard to negate and the ways for making it easy. In these cases the subject can "rationally" decide to withdraw his or her hypotheses even in contexts where it is "impossible" to find "explicit" contradictions and anomalies. Here, the use of negation as failure (an interesting technique for negating hypotheses and accessing new ones suggested by artificial intelligence and cognitive scientists) is illuminating


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