Augmenting Healthcare with Human-Centered Technologies

2020 ◽  
Vol 25 (4) ◽  
Author(s):  
Christopher Moehle ◽  
Jessica Gibson
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Precision Medicine ◽  
Economic Factors ◽  
Central Theme ◽  
Business Cases ◽  
Self Driving Cars ◽  
High Level ◽  
Near Future

“Robotics”, “Artificial Intelligence”, and “Machine Learning” have become an almost impossibly broad amalgam of terminologies that span across industries to include everything from the cotton gin to self-driving cars, and touch a broad range of biotechnology and med tech applications.  We address the spread of these transformative technologies across every interpretation of the analogy, including the spectrum ranging from practical, highly economic products to inventive science fiction with speculative business cases.  In this two-part article, we first briefly overview the high-level commonalities between historically successful products and the economic factors driving adoption of these intelligent technologies in our current economy.  In doing so, we focus heavily on “Augmentation” as a central theme of the best products historically, now, and in the near future.  In the second part of the article, we further illustrate how “Augmented Intelligence” can be applied to biotech. This is done through a mini-case study, or a detailed practicum, on Ariel Precision Medicine, to illustrate how “Augmented Intelligence” can be applied to precision medicine currently.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

Deep Learning Network

2020 ◽  
pp. 1-30
Author(s):  
Bhanu Chander
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Great Power ◽  
Human Being ◽  
Technology Improvement ◽  
Deep Learning Network ◽  
High Level ◽  
Human Brains ◽  
Near Future

Artificial intelligence (AI) is defined as a machine that can do everything a human being can do and produce better results. Means AI enlightening that data can produce a solution for its own results. Inside the AI ellipsoidal, Machine learning (ML) has a wide variety of algorithms produce more accurate results. As a result of technology, improvement increasing amounts of data are available. But with ML and AI, it is very difficult to extract such high-level, abstract features from raw data, moreover hard to know what feature should be extracted. Finally, we now have deep learning; these algorithms are modeled based on how human brains process the data. Deep learning is a particular kind of machine learning that provides flexibility and great power, with its attempts to learn in multiple levels of representation with the operations of multiple layers. Deep learning brief overview, platforms, Models, Autoencoders, CNN, RNN, and Appliances are described appropriately. Deep learning will have many more successes in the near future because it requires very little engineering by hand.

Down the deep rabbit hole: Untangling deep learning from machine learning and artificial intelligence

First Monday ◽  
2019 ◽  
Author(s):  
Niel Chah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Historical Context ◽  
Historical Background ◽  
Deep Roots ◽  
Technical Guide ◽  
Learning Machine ◽  
High Level

Interest in deep learning, machine learning, and artificial intelligence from industry and the general public has reached a fever pitch recently. However, these terms are frequently misused, confused, and conflated. This paper serves as a non-technical guide for those interested in a high-level understanding of these increasingly influential notions by exploring briefly the historical context of deep learning, its public presence, and growing concerns over the limitations of these techniques. As a first step, artificial intelligence and machine learning are defined. Next, an overview of the historical background of deep learning reveals its wide scope and deep roots. A case study of a major deep learning implementation is presented in order to analyze public perceptions shaped by companies focused on technology. Finally, a review of deep learning limitations illustrates systemic vulnerabilities and a growing sense of concern over these systems.

Criteria for new inclusions in the OED – A case study of informatization

English Today ◽  
2015 ◽  
Vol 32 (3) ◽  
pp. 20-27
Author(s):  
Guohua Chen ◽  
Lixia Cheng
Keyword(s):  
Artificial Intelligence ◽  
Information Society ◽  
English Language ◽  
Civil Servant ◽  
List Type ◽  
Type Number ◽  
One Year ◽  
High Level ◽  
First Time

In 1977 two French men, Simon Nora, a high-level civil servant, and Alain Minc, an economist, co-authored a report entitled L'informatisation de la société to French president Valery Giscard d'Estaing, which was later translated into English and published as The Computerization of Society (Nora & Minc, 1980). However, in a paper of the same title written in English and published in 1987, Minc simply transplanted the French word informatisation directly into English rather than sticking to the old translation computerization. However that was not the first time the word informatisation was used in the English language. One year before, the word informatization had appeared in an article published in the American magazine Dædalus: (1)This is what the information society is offering as a by-product of a new stage in the mechanization of the economy and the informatization of culture. […] It is no accident that the phrase “artificial intelligence” has become such an important term within the culture of those responsible for the informatization of society, because, if intelligence can be artificial, then the randomness of history will disappear (Smith, 1986: 165–6).

scholarly journals Actionable Principles for Artificial Intelligence Policy: Three Pathways

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
Charlotte Stix
Keyword(s):  
Artificial Intelligence ◽  
Development Process ◽  
Stakeholder Participation ◽  
Expert Group ◽  
Governmental Policy ◽  
Ai Ethics ◽  
Ethics Guidelines ◽  
Multi Stakeholder ◽  
High Level

AbstractIn the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of ‘Actionable Principles for AI’. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy processes. As a case study, elements are extracted from the development process of the Ethics Guidelines for Trustworthy AI of the European Commission’s “High Level Expert Group on AI”. Subsequently, these elements are expanded on and evaluated in light of their ability to contribute to a prototype framework for the development of 'Actionable Principles for AI'. The paper proposes the following three propositions for the formation of such a prototype framework: (1) preliminary landscape assessments; (2) multi-stakeholder participation and cross-sectoral feedback; and, (3) mechanisms to support implementation and operationalizability.

Screen-Camera-Cars

Film Studies ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 53-64
Author(s):  
Sonia Campanini
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
The Self ◽  
Human Interactions ◽  
Cinematic Narratives ◽  
Science Fiction Films ◽  
Self Driving Cars ◽  
Machine Interaction ◽  
Theoretical Considerations ◽  
Minority Report

Self-driving cars have long been depicted in cinematic narratives, across genres from science fiction films to fantasy films. In some cases, a self-driving car is personified as one of the main characters. This article examines cinematic representations and imaginaries in order to understand the development of the self-driving technology and its integration in contemporary societies, drawing on examples such as The Love Bug, Knight Rider, Minority Report and I, Robot. Conceptually and methodologically, the article combines close readings of films with technological concerns and theoretical considerations, in an attempt to grasp the entanglement of cinematographic imaginaries, audiovisual technologies, artificial intelligence and human interactions that characterise the introduction of self-driving cars in contemporary societies. The human–AI machine interaction is considered both on technological and theoretical levels. Issues of automation, agency and disengagement are traced in cinematic representations and tackled, calling into question the concepts of socio-technical assemblage.

scholarly journals Beautiful destruction

2017 ◽  
Vol 7 (2) ◽  
pp. 37-49
Author(s):  
Vanessa Cirkel-Bartelt
Keyword(s):  
Public Relations ◽  
Science Fiction ◽  
Scientific Misconduct ◽  
Popular Literature ◽  
Interesting Case ◽  
German Speaking ◽  
Large Audience ◽  
Headline News ◽  
Near Future

Though the term ‘science fiction’ was coined somewhat later, the early twentieth century saw an enormous rise in an interest in technological tales set in the near future, mirroring a general awareness of the growing importance of science. Hans Dominik was one of the most prolific – and successful – German authors of this kind of popular literature. According to estimates millions of copies of his books have been sold, making Dominik’s work an interesting case study illustrating the sorts of ideas about science that German-speaking audiences entertained. Being a trained engineer and a public relations officer by profession, Dominik drew heavily on scientific topics that were headline news at the time and yet he also managed to create something new on the basis of these. One of the methods he employed was the use of religious motifs and topoi. Dominik magnified the relevance of scientific enterprises and depicted the consequences of science – or scientific misconduct, rather – as the beginning of a catastrophe, or even an apocalypse. By the same token, Dominik often introduced the figure of the scientist as a protagonist who would save the world. Thus Dominik was able to draw the attention of a large audience to concepts of the use of atomic energy or nuclear weapons – to name only two – and their creative or destructive potential, decades before such devices were technically feasible.

scholarly journals Gender and feminist considerations in Artificial Intelligence from a developing-world perspective, with India as a case study

2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Developing World ◽  
Developed Countries ◽  
High Level ◽  
The Impact ◽  
The Relationship ◽  
Precarious Situation ◽  
And Robotics

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>

Dystopic Pleasure

2021 ◽  
pp. 234-258
Author(s):  
Deniz Yaman
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Human Life ◽  
The Other ◽  
Space Theory ◽  
Production Of Space ◽  
Other Hand ◽  
Artificial Intelligence Technology ◽  
The One ◽  
Near Future

In the 1980s and 1990s, there were indispensable elements for the science fiction movies: cyborgs. This half-biologic and half-machine species had fully developed intelligence. And there was such a future fiction that appeared in these films that, on the one hand, raised admiration for the technologies that have not yet emerged, and on the other hand raised serious future concerns. The purpose of this study is to discuss the interaction of fear, artificial intelligence, and humans. And it is also aimed to research the way of representation of this interaction via aestheticization. Because of this, The Lawnmower (1992) has been chosen and analyized within the context of Production of Space Theory by Lefebvre. The Lawnmower has an importance about the imagining of dystopic and aesthetic way artificial intelligence technology would affect human life in the near future.

scholarly journals What can science fiction tell us about the future of artificial intelligence policy?

AI & Society ◽  
2021 ◽  
Author(s):  
Andrew Dana Hudson ◽  
Ed Finn ◽  
Ruth Wylie
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Technology Policy ◽  
Machine Intelligence ◽  
Future Tense ◽  
Cultural Contexts ◽  
Non Fiction ◽  
Original Works ◽  
Fiction Writers ◽  
Near Future

AbstractThis paper addresses the gap between familiar popular narratives describing Artificial Intelligence (AI), such as the trope of the killer robot, and the realistic near-future implications of machine intelligence and automation for technology policy and society. The authors conducted a series of interviews with technologists, science fiction writers, and other experts, as well as a workshop, to identify a set of key themes relevant to the near future of AI. In parallel, they led the analysis of almost 100 recent works of science fiction stories with AI themes to develop a preliminary taxonomy of AI in science fiction. These activities informed the commissioning of six original works of science fiction and non-fiction response essays on the themes of “intelligence” and “justice” that were published as part of the Slate Future Tense Fiction series in 2019 and 2020. Our findings indicate that artificial intelligence remains deeply ambiguous both in the policy and cultural contexts: we struggle to define the boundaries and the agency of machine intelligence, and consequently find it difficult to govern or interact with such systems. However, our findings also suggest more productive avenues of inquiry and framing that could foster both better policy and better narratives around AI.

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