scholarly journals Beyond artificial intelligence: exploring artificial wisdom

2020 ◽  
Vol 32 (8) ◽  
pp. 993-1001 ◽  
Author(s):  
Dilip V. Jeste ◽  
Sarah A. Graham ◽  
Tanya T. Nguyen ◽  
Colin A. Depp ◽  
Ellen E. Lee ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Well Being ◽  
Empirical Literature ◽  
Human Intelligence ◽  
Developmental Models ◽  
Ethical Behaviors ◽  
Computer Scientists ◽  
The Individual ◽  
Artificial Wisdom ◽  
Health Experts

ABSTRACTBackground:The ultimate goal of artificial intelligence (AI) is to develop technologies that are best able to serve humanity. This will require advancements that go beyond the basic components of general intelligence. The term “intelligence” does not best represent the technological needs of advancing society, because it is “wisdom”, rather than intelligence, that is associated with greater well-being, happiness, health, and perhaps even longevity of the individual and the society. Thus, the future need in technology is for artificial wisdom (AW).Methods:We examine the constructs of human intelligence and human wisdom in terms of their basic components, neurobiology, and relationship to aging, based on published empirical literature. We review the development of AI as inspired and driven by the model of human intelligence, and consider possible governing principles for AW that would enable humans to develop computers which can operationally utilize wise principles and result in wise acts. We review relevant examples of current efforts to develop such wise technologies.Results:AW systems will be based on developmental models of the neurobiology of human wisdom. These AW systems need to be able to a) learn from experience and self-correct; b) exhibit compassionate, unbiased, and ethical behaviors; and c) discern human emotions and help the human users to regulate their emotions and make wise decisions.Conclusions:A close collaboration among computer scientists, neuroscientists, mental health experts, and ethicists is necessary for developing AW technologies, which will emulate the qualities of wise humans and thus serve the greatest benefit to humanity. Just as human intelligence and AI have helped further the understanding and usefulness of each other, human wisdom and AW can aid in promoting each other’s growth

scholarly journals ASPECTS OF UTILIZATION AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE IN DRUG SAFETY

2021 ◽  
pp. 34-39
Author(s):  
SUJITH T ◽  
CHAKRADHAR T ◽  
SRAVANI MARPAKA ◽  
SOWMINI K
Keyword(s):  
Artificial Intelligence ◽  
Drug Safety ◽  
Real World ◽  
Safety Profile ◽  
Medical Science ◽  
Well Being ◽  
Human Intelligence ◽  
Case Processing ◽  
Benefit Ratio ◽  
Near Future

Previously, it was thought that computers cannot perform the works on its own and need the human intelligence but now it is possible with the help of artificial intelligence (AI). AI has the potential to impact nearly every aspect of medical science. As pharmacovigilance (PV) deals with data concerning drug safety, it is being considered the field to be enormously transforming in near future with the emergence of AI. This article explores and gives an overall review of the researches done to implement AI technologies in PV activities. Among many of the PV activities, case processing is the most resource-consuming area, and signal detection is considered to be a poorly functioning area due to various limitations. Introducing AI will potentially fulfill the limitations in these areas and help us to use the resources in a focused way to get the real-world risk-benefit ratio for a better understanding of the safety profile of drugs and to take timely action for the well-being of people.

Engaged Study of the Qur'an: Gauging its Effect on the Life of the Individual and of Society

2003 ◽  
Vol 5 (2) ◽  
pp. 202-207
Author(s):  
Ruqayya Ṭā Hā Jābir al-cUlwānī
Keyword(s):  
Social Conflict ◽  
Well Being ◽  
Arabic Language ◽  
Modern World ◽  
Educational Systems ◽  
Functional Perspective ◽  
Number Of Factors ◽  
Social Advancement ◽  
Freedom Of Thought ◽  
The Individual

An engaged and perceptive contemplation of the Qur'an forms one of the most important bases for the cultural and social advancement of Muslims in all walks of life, and the absence of such study is one of the reasons behind the general cultural attenuation in the modern world. Reflection is one of the means of the construction and formation of a civilised society. The applied faculty of intellect creates an environment which allows reflective and considered thought to be developed from a functional perspective for the general well-being of society. Meanwhile the effective neglect of such study leads to the proliferation of superstition, dissent and social conflict. Indeed it can even be argued that it diminishes the significance of the laws and conventions which serve as the backbone of society. This paper reveals a number of factors which can impede the achievement of such an engaged study of the text: thus, for instance, thoughtless obedience to societal conventions; shortcomings in educational systems and syllabi; and a failure to encompass the significance of the Arabic language. Furthermore this paper presents several effective suggestions for nurturing students' potential, encouraging an environment which allows freedom of thought, and its refinement.

Intelligence, Artificial and Otherwise

2019 ◽  
Vol 24 (2) ◽  
pp. 241-258
Author(s):  
Paul Dumouchel
Keyword(s):  
Artificial Intelligence ◽  
Human Intelligence

The idea of artificial intelligence implies the existence of a form of intelligence that is “natural,” or at least not artificial. The problem is that intelligence, whether “natural” or “artificial,” is not well defined: it is hard to say what, exactly, is or constitutes intelligence. This difficulty makes it impossible to measure human intelligence against artificial intelligence on a unique scale. It does not, however, prevent us from comparing them; rather, it changes the sense and meaning of such comparisons. Comparing artificial intelligence with human intelligence could allow us to understand both forms better. This paper thus aims to compare and distinguish these two forms of intelligence, focusing on three issues: forms of embodiment, autonomy and judgment. Doing so, I argue, should enable us to have a better view of the promises and limitations of present-day artificial intelligence, along with its benefits and dangers and the place we should make for it in our culture and society.

The Chemical Effect in Medicine Interaction Determining the Form and Speed of Psychical Involution in the Prosthetic Restauration in the Edentulous

2018 ◽  
Vol 69 (8) ◽  
pp. 2306-2310
Author(s):  
Aureliana Caraiane ◽  
Razvan Leata ◽  
Veronica Toba ◽  
Doina Vesa ◽  
Luana Andreea Macovei ◽  
...  
Keyword(s):  
Practical Importance ◽  
Psychosocial Problems ◽  
Well Being ◽  
The Elderly ◽  
Chemical Effect ◽  
Special Importance ◽  
Dramatic Form ◽  
Specific Disorders ◽  
The Individual ◽  
Made In

The progress made in dentistry during the latest decades is due, conceptually, to the new, systemic vision of man, which has also taken place in this field of medicine. In this context, the link between organic and psychic is indestructible. Thus illness is understood as a drama in which the somatic process has a psychic value, and the mental one has a body value. It is known that the morphological and functional integrity of the dental system, health and vigorousness, gives the individual a state of well-being that affects his somatic and psychic health, as any disturbance at this level entails repercussions in psychological and social behavior. Such a disruption is the total edification that seriously alters not only the dental system but the whole organism, putting various biological and psychosocial problems to the practitioner. The total expression represents not only a physical disability but also a psychological one. A special importance in studying psychological changes at total edentulous presents the psychological aspects of senile involution. This is not only a theoretical but also a practical importance due to the increase in the number of elderly people. Through the researches of the present paper we intend to present the reality of the psychological manifestations in the total edentation, which is objectified on different methods of psychodiagnosis in the first part, in order for the second part to be addressed to problems of prosthetic psychotherapy.The study comprises a group of 43 patients, of whom 24 were men and 19 women with total uni or bimaxilar edentation. Total edentation can be and is responsible for somatopsychic alterations, along with other pathogens, general, local, social, which sometimes can take a dramatic form, converting, where the area is also favorable, a pure somatic disease, for those who are not in psychopathy or even psychosis, although these latter cases are extremely rare and especially in youngsters, which would disrupt not only the person�s behavior as an individual, but also their status, function and social integrity. The treatment of dental and psychological complex is mandatory for any patient, but especially for the elderly, where recovery is more difficult, with disease-specific disorders adding to those of senescence.

Temporal Focus

2020 ◽  
Author(s):  
Abbie J. Shipp
Keyword(s):  
Well Being ◽  
Psychology Research ◽  
The Past ◽  
Research Areas ◽  
The Future ◽  
Behavior Based ◽  
The Individual ◽  
And Behavior ◽  
Temporal Focus

Temporal focus is the individual tendency to characteristically think more or less about the past, present, and future. Although originally rooted in early work from psychology, research on temporal focus has been steadily growing in a number of research areas, particularly since Zimbardo and Boyd’s (1999) influential article on the topic. This chapter will review temporal focus research from the past to the present, including how temporal focus has been conceptualized and measured, and which correlates and outcomes have been tested in terms of well-being and behavior. Based on this review, an agenda for research is created to direct temporal focus research in the future.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

AI Magazine ◽  
2012 ◽  
Vol 34 (1) ◽  
pp. 10 ◽  
Author(s):  
Steve Kelling ◽  
Jeff Gerbracht ◽  
Daniel Fink ◽  
Carl Lagoze ◽  
Weng-Keen Wong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Feedback Loop ◽  
Human Computation ◽  
Computational Power ◽  
Learning Networks ◽  
Learning Network ◽  
Computer Learning ◽  
The Individual ◽  
Citizen Science Project

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network, whose core is an active learning feedback loop between humans and machines that dramatically improves the quality of both, and thereby continually improves the effectiveness of the network as a whole. In this paper we explore how Human-Computer Learning Networks can leverage the contributions of a broad recruitment of human observers and processes their contributed data with Artificial Intelligence algorithms leading to a computational power that far exceeds the sum of the individual parts.

scholarly journals Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
J. Raymond Geis ◽  
Adrian Brady ◽  
Carol C. Wu ◽  
Jack Spencer ◽  
Erik Ranschaert ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
European Society ◽  
Common Good ◽  
Autonomous Systems ◽  
Codes Of Ethics ◽  
Well Being ◽  
Imaging Informatics ◽  
Financial Gain ◽  
Canadian Association ◽  
Ultimate Responsibility

Abstract This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence, and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI which promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes.

scholarly journals Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps identification using text mining

2021 ◽  
pp. 1-13
Author(s):  
Lamiae Benhayoun ◽  
Daniel Lang
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Academic Training ◽  
Market Requirements ◽  
Job Advertisements ◽  
The Individual

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.

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