scholarly journals Exploring the Nuances of Designing (with/for) Artificial Intelligence

Design Issues ◽  
2020 ◽  
Vol 36 (4) ◽  
pp. 45-55
Author(s):  
Niya Stoimenova ◽  
Rebecca Price
Keyword(s):  
Artificial Intelligence ◽  
Fundamental Shift ◽  
Shed Light ◽  
Over Time ◽  
The Way

A fundamental shift in the way society operates is approaching driven by advances in the field of artificial intelligence (AI). Yet, there is a comparative lack of discourse across the design discipline regarding this topic. While there are fragments of methodological readiness for designing (with/for) AI, the nuances of such need to be further explored. The aim of this article is to shed light on these and suggest a possible way forward for design that can ensure AI-powered artifacts remain safe even as their utility evolves over time.

scholarly journals Software Testing: Issues and Challenges of Artificial Intelligence & Machine Learning

2021 ◽  
Vol 12 (1) ◽  
pp. 101-112
Author(s):  
Kishore Sugali ◽  
Chris Sprunger ◽  
Venkata N Inukollu
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Software Testing ◽  
Future Research ◽  
Critical Component ◽  
Development Methodology ◽  
Testing Strategies ◽  
History Of ◽  
Shed Light ◽  
The Way

The history of Artificial Intelligence and Machine Learning dates back to 1950’s. In recent years, there has been an increase in popularity for applications that implement AI and ML technology. As with traditional development, software testing is a critical component of an efficient AI/ML application. However, the approach to development methodology used in AI/ML varies significantly from traditional development. Owing to these variations, numerous software testing challenges occur. This paper aims to recognize and to explain some of the biggest challenges that software testers face in dealing with AI/ML applications. For future research, this study has key implications. Each of the challenges outlined in this paper is ideal for further investigation and has great potential to shed light on the way to more productive software testing strategies and methodologies that can be applied to AI/ML applications.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

scholarly journals DAMAGE RESULTING FROM ARTIFICIAL INTELLIGENCE - THE CASE OF AUTONOMOUS VEHICLES

2021 ◽  
Vol 14 (1) ◽  
pp. 105-124
Author(s):  
Cassiano Highton
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Technological Revolution ◽  
The Subject ◽  
The Law ◽  
Over Time ◽  
The Way

Abstract The way of understanding the law has changed substantially over time and the law of Torts as we have studied and dealt with it until now has evidently become outdated, the legal reality has moved away from the factual reality, we are facing the new paradigms of the digital and technological revolution, with an evident and clear distancing from the classical theories of the law of Torts, a context that requires a specific and updated approach to the subject.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 2323-2337
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

Economics of the Ed Tech Revolution

2017 ◽  
Vol 59 (4) ◽  
pp. 49-55 ◽  
Author(s):  
Richard K. Lyons
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Network Effects ◽  
Education Technology ◽  
Increasing Returns ◽  
Durable Good ◽  
Rapid Changes ◽  
Over Time ◽  
The Way

Rapid changes in technology—including advances in augmented and artificial intelligence, machine learning, and mobile—are paving the way for significant changes not only in the channels through which education is delivered but in how education itself is structured. This article identifies eight ways in which education technology can change how learning is facilitated and who will facilitate that learning. Basic economic principles then provide a framework for thinking about how these changes will be embedded over time as education increasingly becomes a durable good providing increasing returns through network effects.

Judge v Robot? Artificial Intelligence and Judicial Decision-Making

2018 ◽  
Vol 41 (4) ◽  
Author(s):  
Tania Sourdin
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Technological Change ◽  
Human Activity ◽  
Human Activities ◽  
Judicial Decision ◽  
Judicial Decision Making ◽  
And Function ◽  
Over Time ◽  
The Way

As technology continues to change the way in which we work and function, there are predictions that many aspects of human activity will be replaced or supported by newer technologies. Whilst many human activities have changed over time as a result of human advances, more recent shifts in the context of technological change are likely to have a broader impact on some human functions that have previously been largely undisturbed. In this regard, technology is already changing the practice of law and may for example, reshape the process of judging by either replacing, supporting or supplementing the judicial role. Such changes may limit the extent to which humans are engaged in judging with an increasing emphasis on artificial intelligence to deal with smaller civil disputes and the more routine use of related technologies in more complex disputes.

scholarly journals Trends in AI Research for the Visual Surveillance of Populations

2022 ◽  
Author(s):  
Ashwin Acharya ◽  
Max Langenkamp ◽  
James Dunham
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Bibliometric Analysis ◽  
Vision Research ◽  
Visual Surveillance ◽  
Surveillance Systems ◽  
Recent Trends ◽  
Over Time ◽  
The Way

Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.

Géographie et cartographie fictionnelles dans l’Utopie (1516) de Thomas More

Moreana ◽  
2010 ◽  
Vol 47 (Number 181- (3-4) ◽  
pp. 9-68
Author(s):  
Jean Du Verger
Keyword(s):  
Complex Network ◽  
Narrative Strategies ◽  
Thomas More ◽  
The Third ◽  
Editio Princeps ◽  
Shed Light ◽  
The Way

The philosophical and political aspects of Utopia have often shadowed the geographical and cartographical dimension of More’s work. Thus, I will try to shed light on this aspect of the book in order to lay emphasis on the links fostered between knowledge and space during the Renaissance. I shall try to show how More’s opusculum aureum, which is fraught with cartographical references, reifies what Germain Marc’hadour terms a “fictional archipelago” (“The Catalan World Atlas” (c. 1375) by Abraham Cresques ; Zuane Pizzigano’s portolano chart (1423); Martin Benhaim’s globe (1492); Martin Waldseemüller’s Cosmographiae Introductio (1507); Claudius Ptolemy’s Geographia (1513) ; Benedetto Bordone’s Isolario (1528) ; Diogo Ribeiro’s world map (1529) ; the Grand Insulaire et Pilotage (c.1586) by André Thevet). I will, therefore, uncover the narrative strategies used by Thomas More in a text which lies on a complex network of geographical and cartographical references. Finally, I will examine the way in which the frontispiece of the editio princeps of 1516, as well as the frontispiece of the third edition published by Froben at Basle in 1518, clearly highlight the geographical and cartographical aspect of More’s narrative.

Conclusion

2018 ◽  
Author(s):  
Manuel Fröhlich ◽  
Abiodun Williams
Keyword(s):  
Security Council ◽  
International Context ◽  
Peace And Security ◽  
Executive Action ◽  
Trends Over Time ◽  
The Impact ◽  
Over Time ◽  
The Way ◽  
Guiding Questions

The Conclusion returns to the guiding questions introduced in the Introduction, looking at the way in which the book’s chapters answered them. As such, it identifies recurring themes, experiences, structures, motives, and trends over time. By summarizing the result of the chapters’ research into the interaction between the Secretaries-General and the Security Council, some lessons are identified on the changing calculus of appointments, the conditions and relevance of the international context, the impact of different personalities in that interaction, the changes in agenda and composition of the Council as well as different formats of interaction and different challenges to be met in the realm of peace and security, administration, and reform, as well as concepts and norms. Taken together, they also illustrate the potential and limitations of UN executive action.

Civil Society in UN Peacebuilding Discourse

2017 ◽  
Author(s):  
Laura J. Shepherd
Keyword(s):  
Civil Society ◽  
United Nations ◽  
Local Knowledge ◽  
Political Legitimacy ◽  
Civil Society Organizations ◽  
Conceptual Domain ◽  
Close Analysis ◽  
The United Nations ◽  
Over Time ◽  
The Way

Chapter 5 outlines the ways in which civil society is largely associated with “women” and the “local,” as a spatial and conceptual domain, and how this has implications for how we understand political legitimacy and authority. The author argues that close analysis reveals a shift in the way in which the United Nations as a political entity conceives of civil society over time, from early engagement with non-governmental organisations (NGOs) to the more contemporary articulation of civil society as consultant or even implementing partner. Contemporary UN peacebuilding discourse, however, constitutes civil society as a legitimating actor for UN peacebuilding practices, as civil society organizations are the bearers/owners of certain forms of (local) knowledge.

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