Normative Analysis of “Human Being” Compartmental Artificial Intelligence - Theory of Interpretation on Absolute Value of Constitution “Human Dignity” and Focusing on the Proactive Security Systems for Protecting the Dignity -

2016 ◽  
Vol 7 (3) ◽  
pp. 843-856
Author(s):  
Su Bong Cha
Keyword(s):  
Artificial Intelligence ◽  
Human Dignity ◽  
Human Being ◽  
Security Systems ◽  
Absolute Value ◽  
Normative Analysis ◽  
Intelligence Theory ◽  
Proactive Security

scholarly journals Comparative study of cloud platforms to develop a Chatbot

2017 ◽  
Vol 6 (3) ◽  
pp. 57 ◽  
Author(s):  
Amit Patil ◽  
Marimuthu K ◽  
Nagaraja Rao A ◽  
Niranchana R
Keyword(s):  
Artificial Intelligence ◽  
Comparative Study ◽  
Time Complexity ◽  
Completion Time ◽  
Setup Time ◽  
Human Being ◽  
Cloud Platform ◽  
New Era ◽  
Ibm Watson ◽  
Aws Lambda

Before chatbots there were simply bots: The invention of a chatbot brought us to the new era of technology, the era of conversation service. A chatbot is a virtual person that can effectively talk to any human being with the help of interactive conversion textual skill. Now a days there are many cloud-based platforms available for developing and deploying the chatbot such as Microsoft bot framework, IBM Watson, Kore, AWS lambda, Microsoft Azure bot service, Chatfuel, Heroku and many more but all those techniques has some drawbacks such as built-in Artificial Intelligence, NLP, conversion service, programming etc. This paper represents the comparison between all cloud-based chatbot technologies with some constraint such as built-in AI, setup time, completion time, complexity etc. Finally, by the comparison, we will get to know that which cloud platform is efficient and suitable for developing chatbot.

scholarly journals Developing robots: The need for an ethical framework

European View ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Alex Leveringhaus
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Human Dignity ◽  
Ethical Framework ◽  
Foreseeable Future ◽  
Policy Level ◽  
Technological Developments ◽  
The Subject ◽  
Ethical Approaches ◽  
Robotic Technologies

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.

scholarly journals El sesgo de la máquina en la toma de decisiones en el proceso penal.

2020 ◽  
Vol 6 (2) ◽  
pp. 54-71
Author(s):  
Raquel Borges Blázquez
Keyword(s):  
Artificial Intelligence ◽  
The Other ◽  
Human Being ◽  
Criminal Process ◽  
Ethical Problems ◽  
Intelligent Machines ◽  
Other Hand ◽  
Toma De Decisiones ◽  
Legal Thinking ◽  
The One

Artificial intelligence has countless advantages in our lives. On the one hand, computer’s capacity to store and connect data is far superior to human capacity. On the other hand, its “intelligence” also involves deep ethical problems that the law must respond to. I say “intelligence” because nowadays machines are not intelligent. Machines only use the data that a human being has previously offered as true. The truth is relative and the data will have the same biases and prejudices as the human who programs the machine. In other words, machines will be racist, sexist and classist if their programmers are. Furthermore, we are facing a new problem: the difficulty to understand the algorithm of those who apply the law.This situation forces us to rethink the criminal process, including artificial intelligence and spinning very thinly indicating how, when, why and under what assumptions we can make use of artificial intelligence and, above all, who is going to program it. At the end of the day, as Silvia Barona indicates, perhaps the question should be: who is going to control global legal thinking?

scholarly journals Knowing What We Want: A Decent Society, A Civilized System of Justice & A Condition of Dignity

Daedalus ◽  
2022 ◽  
Vol 151 (1) ◽  
pp. 170-180
Author(s):  
Jonathan Simon
Keyword(s):  
Supreme Court ◽  
Human Dignity ◽  
Supreme Court Decision ◽  
Security Systems ◽  
Criminal Justice Reform ◽  
The Road ◽  
A Value ◽  
The Supreme Court ◽  
Penal State ◽  
Decent Society

Abstract Human dignity as a value to guide criminal justice reform emerged strikingly in the 2011 Supreme Court decision in Brown v. Plata. But with Justice Kennedy retired and courts generally reluctant to go far down the road to practical reforms, its future lies in the political realm shaping policy at the local, state, and national levels. For human dignity to be effective politically and in forming policy, we need a vocabulary robust enough to convey a positive vision for the penal state. In this essay, I discuss three concepts that can provide more precision to the potential abstractness of human dignity, two of which the Supreme Court has regularly used in decisions regarding punishment: the idea of a “decent society,” the idea of a “civilized system of justice,” and the idea of a “condition of dignity.” In brief, without a much broader commitment to restoring a decent society, and to civilizing our justice and security systems, there is little hope that our police stations, courts, jails, and prisons will provide a condition of dignity to those unfortunate enough to end up in them.

A Pragmatic Analytics of Covid Data Patterns for Predictive Mining of Patients

2020 ◽  
Vol 17 (11) ◽  
pp. 5105-5108
Author(s):  
Rubika Walia ◽  
Neelam Oberoi ◽  
Sakshi Sachdeva
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Research Work ◽  
Human Being ◽  
Global Perspectives ◽  
Integration Pattern ◽  
The Social

The year 2020 has emerged as a menace and threat for the human being whereby the social as well as professional livings getting affected. In the global perspectives, the human lives are affecting and huge demise occurring. In this research work, the effectual implementation towards the usage of Artificial Intelligence is done with the machine learning so that the overall outcomes and predictive mining can be done with higher degree of performance. The work is having the integration pattern of COVID datasets of patients with benchmark characteristics and thereby to have the predictions for the upcoming tests and by this way overall prediction can be done.

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.

Artificial Intelligence-Based Solutions for Cyber Security Problems

2021 ◽  
pp. 68-86
Author(s):  
Merve Yildirim
Keyword(s):  
Artificial Intelligence ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Network Systems ◽  
Security Systems ◽  
Artificial Intelligence Techniques ◽  
Security Issues ◽  
Security Applications ◽  
Cyber Threats ◽  
Legal Risks

Due to its nature, cyber security is one of the fields that can benefit most from the techniques of artificial intelligence (AI). Under normal circumstances, it is difficult to write software to defend against cyber-attacks that are constantly developing and strengthening in network systems. By applying artificial intelligence techniques, software that can detect attacks and take precautions can be developed. In cases where traditional security systems are inadequate and slow, security applications developed with artificial intelligence techniques can provide better security against many complex cyber threats. Apart from being a good solution for cyber security problems, it also brings usage problems, legal risks, and concerns. This study focuses on how AI can help solve cyber security issues while discussing artificial intelligence threats and risks. This study also aims to present several AI-based techniques and to explain what these techniques can provide to solve problems in the field of cyber security.

Artificial Intelligences Are Subsets of Human Beings, Mainly in Fictions and Films

2021 ◽  
pp. 598-618
Author(s):  
Nandini Sen
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Human Being ◽  
Human Beings ◽  
Human Race ◽  
Emotional Quotient ◽  
New Knowledge ◽  
Ai Ethics

This chapter aims to create new knowledge regarding artificial intelligence (AI) ethics and relevant subjects while reviewing ethical relationship between human beings and AI/robotics and linking between the moral fabric or the ethical issues of AI as used in fictions and films. It carefully analyses how a human being will love robot and vice versa. Here, fictions and films are not just about technology but about their feelings and the nature of bonding between AIs and the human race. Ordinary human beings distrust and then start to like AIs. However, if the AI becomes a rogue as seen in many fictions and films, then the AI is taken down to avoid the destruction of the human beings. Scientists like Turing are champions of robot/AI's feelings. Fictional and movie AIs are developed to keenly watch and comprehend humans. These actions are so close to empathy they amount to consciousness and emotional quotient.

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