scholarly journals Protall (An Intelligent, multi-sensor, comprehensive obstacle avoidance system for automobiles and UAVs)

2022 ◽  
Vol 2161 (1) ◽  
pp. 012056
Author(s):  
Manav Dhelia ◽  
Saurabh Chaughule ◽  
Amit Choraria ◽  
Arjun Hariharan ◽  
M M Manohara Pai
Keyword(s):  
Artificial Intelligence ◽  
Obstacle Avoidance ◽  
Dynamic Environment ◽  
Optimal Solution ◽  
Sensor Integration ◽  
Safety Issues ◽  
Intelligent Processing ◽  
Self Driving Cars

Abstract In this era of Artificial Intelligence and Automation, manufacturing and testing of self-driving cars and autonomous delivery of parcels to the desired location with the help of UAVs have a considerable amount of growth in the industry. This advancement in technology also raises safety issues due to the failure of sensors to detect the object or sometimes because of the dynamic environment. Protall (Protect-all) is an integrated solution for UAV and automobile vehicles to provide ultimate safety to both itself and its surroundings. With the strategic sensor integration and its intelligent processing, it aims to produce controlled output and hence, ensures to prevent any possible failures from occurring. The system constantly reacts to the environment and maintains comprehensive interaction with the user thus, enabling it to handle any dynamic situation and hence, it emerges as an optimal solution for Vehicles and UAVs.

Ethics of Artificial Intelligence: Problems and Initiatives in the Social Environment

2021 ◽  
pp. 5-12
Author(s):  
V. Leonov ◽  
YEkatyerina Kashtanova ◽  
A. Lobacheva
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Human Life ◽  
Well Being ◽  
Medical Diagnostics ◽  
Point Of View ◽  
High Tech ◽  
Safety Issues ◽  
Self Driving Cars ◽  
Management Functions

Technologies based on artificial intelligence (AI) have achieved significant results, including facial recognition, medical diagnostics, self-driving cars, insurance management and exchange assets, property, human resources, search and recruitment. Artificial intelligence promises huge benefits for economic growth, social development, and improving the well-being and people security. Of course, artificial intelligence and robotics are among the most discussed issues and technological trends around the world today. In the light of their widespread use and implementation in all spheres of human life, often the expected opportunities, achievements and scientific breakthroughs overshadow the reasonableness and expediency of using artificial intelligence technologies in a particular field from a legal and ethical point of view. Companies, in the pursuit of profit and leading positions in the market, are often irresponsible about the legal and ethical issues of interaction with artificial intelligence technologies. Nevertheless, the ethical aspects of the use of artificial intelligence technologies are gaining high importance these days. The emergence of high-tech systems and software that can function more and more independently of humans and can replace the performance of tasks by humans requires special attention. These systems raise a number of important and tough moral questions. The article discusses the main directions of the artificial intelligence technologies spread and the ethical consequences and moral issues that arise in this regard, both at the state and organizational levels. The main trends characteristic of the labor market that arise in the process of workplaces robotization and the intelligent robots introduction into the production process are studied. The authors convincingly prove the priority of ethics and human safety issues in the design and implementation of AI systems. During the discussion of the ethical problems of the artificial intelligence introduction in organizations, the emphasis is placed on the use of these technologies not from the point of view of automation and improving the efficiency of performing direct management functions, but from the point of view of the organization of personnel work. Based on this, the article concludes with recommendations for the development of ethical principles adapted to the design and use of AI systems.

Artificial Intelligence in Logistics

2019 ◽  
Vol 12 (1) ◽  
pp. 47-60
Author(s):  
László Kota
Keyword(s):  
Artificial Intelligence ◽  
Computing Power ◽  
Self Driving Cars

The artificial intelligence undergoes an enormous development since its appearance in the fifties. The computing power has grown exponentially since then, enabling the use of artificial intelligence applications in different areas. Since then, artificial intelligence applications are not only present in the industry, but they have slowly conquered households as well. Their use in logistics is becoming more and more widespread, just think of self-driving cars and trucks. In this paper, the author attempts to summarize and present the artificial intelligence logistical applications, its development and impact on logistics.

The ideological divide in public perceptions of self-driving cars

2020 ◽  
Vol 29 (4) ◽  
pp. 436-451
Author(s):  
Yilang Peng
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Scientific Literacy ◽  
Autonomous Vehicles ◽  
The United States ◽  
Public Perceptions ◽  
New Information ◽  
Nationally Representative ◽  
Self Driving Cars ◽  
Social Conservatism

Applications in artificial intelligence such as self-driving cars may profoundly transform our society, yet emerging technologies are frequently faced with suspicion or even hostility. Meanwhile, public opinions about scientific issues are increasingly polarized along the ideological line. By analyzing a nationally representative panel in the United States, we reveal an emerging ideological divide in public reactions to self-driving cars. Compared with liberals and Democrats, conservatives and Republicans express more concern about autonomous vehicles and more support for restrictively regulating autonomous vehicles. This ideological gap is largely driven by social conservatism. Moreover, both familiarity with driverless vehicles and scientific literacy reduce respondents’ concerns over driverless vehicles and support for regulation policies. Still, the effects of familiarity and scientific literacy are weaker among social conservatives, indicating that people may assimilate new information in a biased manner that promotes their worldviews.

Assessment of driving quality and its impact on changes in the technical condition of self-driving cars

2020 ◽  
pp. 24-26
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Computer Technology ◽  
Technical Condition ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Machine Maintenance ◽  
Current Task ◽  
Self Driving Cars

The article describes the current task of developing and improving existing technologies for machine maintenance throughout the entire life cycle. The use of modern achievements in the field of computer technology, digitization of information, as well as the development of artificial intelligence technologies, will allow you to get new scientific and engineering results aimed at managing the technical condition of machines in operation.

Predictability of AI Decisions

2021 ◽  
pp. 17-28
Author(s):  
Grzegorz Musiolik
Keyword(s):  
Artificial Intelligence ◽  
Reinforcement Learning ◽  
Free Will ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Mathematical Structure ◽  
General Question ◽  
Safety Issues ◽  
Robotic Applications ◽  
Mathematics And Physics

Artificial intelligence evolves rapidly and will have a great impact on the society in the future. One important question which still cannot be addressed with satisfaction is whether the decision of an intelligent agent can be predicted. As a consequence of this, the general question arises if such agents can be controllable and future robotic applications can be safe. This chapter shows that unpredictable systems are very common in mathematics and physics although the underlying mathematical structure can be very simple. It also shows that such unpredictability can also emerge for intelligent agents in reinforcement learning, especially for complex tasks with various input parameters. An observer would not be capable to distinguish this unpredictability from a free will of the agent. This raises ethical questions and safety issues which are briefly presented.

scholarly journals Artificial Intelligence and Health in Nepal

2020 ◽  
Vol 10 (3) ◽  
pp. 915-918
Author(s):  
Alexander Van Teijlingen ◽  
Tell Tuttle ◽  
Hamid Bouchachia ◽  
Brijesh Sathian ◽  
Edwin Van Teijlingen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
South Asian ◽  
Low Income ◽  
Short Communication ◽  
Data Sets ◽  
Low Income Country ◽  
Local Resources ◽  
Self Driving Cars ◽  
Key Terms

The growth in information technology and computer capacity has opened up opportunities to deal with much and much larger data sets than even a decade ago.  There has been a technological revolution of big data and Artificial Intelligence (AI).  Perhaps many readers would immediately think about robotic surgery or self-driving cars, but there is much more to AI.  This Short Communication starts with an overview of the key terms, including AI, machine learning, deep learning and Big Data.  This Short Communication highlights so developments of AI in health that could benefit a low-income country like Nepal and stresses the need for Nepal’s health and education systems to track such developments and apply them locally.  Moreover, Nepal needs to start growing its own AI expertise to help develop national or South Asian solutions.  This would require investing in local resources such as access to computer power/capacity as well as training young Nepali to work in AI. 

Artificial Intelligence (AI) Ethics

2020 ◽  
Vol 31 (2) ◽  
pp. 74-87 ◽  
Author(s):  
Keng Siau ◽  
Weiyu Wang
Keyword(s):  
Artificial Intelligence ◽  
Data Privacy ◽  
Ethical Issues ◽  
Well Being ◽  
Critical Issue ◽  
Ethical Principles ◽  
Machine Ethics ◽  
Moral Issues ◽  
Ai Ethics ◽  
Self Driving Cars

Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of “machine ethics” was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI. What are the perceived ethical and moral issues with AI? What are the general and common ethical principles, rules, guidelines, policies, and regulations that can resolve or at least attenuate these ethical and moral issues with AI? What are some of the necessary features and characteristics of an ethical AI? How to adhere to the ethics of AI to build ethical AI?

scholarly journals An Evaluation of Chinese Human-Computer Dialogue Technology

2019 ◽  
Vol 1 (2) ◽  
pp. 187-200
Author(s):  
Zhengyu Zhao ◽  
Weinan Zhang ◽  
Wanxiang Che ◽  
Zhigang Chen ◽  
Yibo Zhang
Keyword(s):  
Artificial Intelligence ◽  
Large Scale ◽  
Data Sets ◽  
Dialogue Systems ◽  
Online Testing ◽  
User Intent ◽  
Existing Problems ◽  
Intelligent Processing ◽  
Task Oriented ◽  
Important Branch

The human-computer dialogue has recently attracted extensive attention from both academia and industry as an important branch in the field of artificial intelligence (AI). However, there are few studies on the evaluation of large-scale Chinese human-computer dialogue systems. In this paper, we introduce the Second Evaluation of Chinese Human-Computer Dialogue Technology, which focuses on the identification of a user's intents and intelligent processing of intent words. The Evaluation consists of user intent classification (Task 1) and online testing of task-oriented dialogues (Task 2), the data sets of which are provided by iFLYTEK Corporation. The evaluation tasks and data sets are introduced in detail, and meanwhile, the evaluation results and the existing problems in the evaluation are discussed.

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.

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