119,759 research outputs found

    Artificial Intelligence and IT Professionals

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    How will continuing developments in artificial intelligence (AI) and machine learning influence IT professionals? This article approaches this question by identifying the factors that influence the demand for software developers and IT professionals, describing how these factors relate to AI, and articulating the likely impact on IT professionals

    Exploring the Impact of Artificial Intelligence on the Accounting Profession

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    Artificial intelligence is no longer the robots and computers of science fiction from Hollywood movies. The ideas of developing machines that can “learn” are centuries old. The capacities of the computers and software of today create and exhibit intelligence, but also bring with it concerns along with much promise. In the accounting field artificial intelligence has been taking on more and more tasks. Already, there is software that has automated many accounting, tax, bookkeeping, and auditing processes. If machines are assuming a greater role, where do we, the professionals strike a balance? What does the future of the accounting profession look like with the growth of artificial intelligence?

    Editor's Note

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    The international conference “Disruptive Technologies Tech Ethics and Artificial Intelligence” (DITTET) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It also provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. It provides a unique opportunity to bring together experts in different fields, academics, and professionals to exchange their experience in the development and deployment of disruptive technologies, artificial intelligence, and their ethical problems. This Special Issue contains extended versions of selected works presented at the 1st International Conference on Disruptive Technologies, Tech Ethics and Artificial Intelligence (DiTTEt 2021), held in Salamanca (Spain) in September 2021

    Leading the way into the era of artificial intelligence : Final report of Finland's Artificial Intelligence Programme 2019

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    Artificial intelligence has been identified as one of the most important technologies of our time. It can create new economic growth and thereby promote wellbeing. Access to more efficient and inexpensive computing capacity, growth of the volume of data available to artificial intelligence, and the development of algorithms have resulted in the acceleration of AI development and utilisation. A growing number of countries have recognised the opportunities provided by artificial intelligence and have prepared a national artificial intelligence strategy. In 2017, Finland was among the first countries to launch an Artificial Intelligence Programme. The objective of the programme was to make Finland a leader in the application of artificial intelligence. In this report, the Programme’s steering group and secretariat comment on the progress made during the programme, and give recommendations for the future. These are examined in the context of case studies from the business world and views offered by a panel of AI professionals. Contact person at the Ministry of Economic Affairs and Employment: Ilona Lundström, Tel. +358 029 504 7186 (Innovations and Enterprise Financing Departmen

    Teknologi Kecerdasan Buatan (Artificial Intelligence) Dan Penerapannya Di Perpustakaan

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    This article reviews the use of artificial intelligence (AI) in libraries and provides some examples of its work. This article explains how libraries can use a variety of artificial intelligence applications to simplify work and improve user service. Any type of AI is coverage can be used in the library. As initiators and discussion partners for IT professionals, librarians help develop libraries by incorporating artificial intelligence into them. By applying AI in libraries, the library will be an unlimited source of knowledge, not only for the physical collections that fill the space in the libraries but also as a source of information in various forms

    The Consumer Behavior Impact of Data Capture Through Artificial Intelligence

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    Artificial intelligence is changing the way consumers search for information and purchase items and, thus, how people behave across generations. Due to the nature of this cutting-edge technology, organizations are investigating how much to wisely invest, but the artificial intelligence offerings are outpacing the research. Academic scholars and marketing professionals have issued timely prompts for additional studies to supplement the existing literature, which is limited. This research provides insights into privacy concerns surrounding the data collection of artificial intelligence and whether people feel exploited or served by it. Across two articles, surveys were deployed and collected to provide quantitative data that explains consumer behavior, first by considering the generation an individual belongs to and whether that alone is a determinant of feelings associated with artificial intelligence data capture interactions. Second, in a deeper dive, a Technology Readiness Index score was assessed and then compared to various scales, which once again examined privacy concerns with artificial intelligence data collection, perceived threats with online data housing, and the perceived severity of these actions. Patterns of behavior were detected through Structural Equation Modeling analysis. Findings showed that older generations do in fact feel heightened senses of exploitation with artificial intelligence data capture compared to younger generations. The data also revealed that an individual’s Technology Readiness Index score directly relates to whether they feel more exploited or served by artificial intelligence data capture

    Artificial Intelligence in Medicine–The New Reality nowadays

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    Digital health and artificial intelligence (AI) have been evolving rapidly in recent years. These are the new reality that will bring improvements and innovations to the healthcare sector. It will support the work of health professionals and bring new hope to patients to improve their health. The aim of the current study is to investigate the application of artificial intelligence in medicine. In recent years the innovations in the health sector are immense. The digitalization of information in medicine creates many new opportunities for improving and perfecting the healthcare sector and providing health services at a very high level. AI is successfully implemented in medicine and dental medicine education. Artificial intelligence and digital health are one step forward in modernizing and improving the educational and healthcare system, which would benefit both physicians and patients

    Professionally Responsible Artificial Intelligence

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    As artificial intelligence (AI) developers produce more applications for professional use, how will we determine when the use is professionally responsible? One way to answer the question is to determine whether the AI augments the professional’s intelligence or whether it is used as a substitute for it. To augment the professional’s intelligence would be to make it greater, that is, to increase and improve the professional’s expertise. But a professional who substitutes artificial intelligence for his or her own puts both the professional role and the client at risk. The problem is developing guidance that encourages professionals to use AI when it can reliably improve expertise but discourages substitution that undermines expertise. This Article proposes a solution, using tax professionals as a case study. There are several reasons tax professionals provide a good case study, including that tax practice has a long history of computerization and that AI is already being developed for tax professionals. Tax professionals, including not only lawyers but certified public accountants, are directly regulated by the Internal Revenue Service (IRS), in addition to their regulation by professional bodies. This Article proposes a public-private cooperation in regulating the use of AI by professionals in ex ante tax planning. On the private side would be panels of experts testing new AI applications for reliability by running experiments. The panels would certify AI products determined to be substantively sound and designed to educate and engage the professional. On the public side, the IRS would provide a presumptive defense to professional responsibility-related penalties against professionals who used the certified AI. This should motivate tax planners to prefer purchasing certified tax planning AI applications, and thereby motivate tax AI application developers to seek certification. Though this Article’s proposal is specific for the use of AI by tax professionals, it illuminates a way forward for regulating AI use by other professions. The way would be for third parties such as government agencies, professional associations, or malpractice insurers to stimulate demand for certified AI products to be used by professionals. In general, these certifications should be provided to AI that augments the professional’s intelligence, increasing his or her professional competence. By keeping professionals involved in the certification process, space is opened to shape the transformation AI is bringing to the professions, and by stimulating product demand for certified products, the odds of successfully shaping that transformation are improved

    Professional Judgment in an Era of Artificial Intelligence and Machine Learning

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    Though artificial intelligence (AI) in healthcare and education now accomplishes diverse tasks, there are two features that tend to unite the information processing behind efforts to substitute it for professionals in these fields: reductionism and functionalism. True believers in substitutive automation tend to model work in human services by reducing the professional role to a set of behaviors initiated by some stimulus, which are intended to accomplish some predetermined goal, or maximize some measure of well-being. However, true professional judgment hinges on a way of knowing the world that is at odds with the epistemology of substitutive automation. Instead of reductionism, an encompassing holism is a hallmark of professional practice—an ability to integrate facts and values, the demands of the particular case and prerogatives of society, and the delicate balance between mission and margin. Any presently plausible vision of substituting AI for education and health-care professionals would necessitate a corrosive reductionism. The only way these sectors can progress is to maintain, at their core, autonomous professionals capable of carefully intermediating between technology and the patients it would help treat, or the students it would help learn

    Editor's Note

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    The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. The present volume, June volume, consists of 24 articles of diverse applications of great impact in different fields, always having as a common element the use of artificial intelligence techniques or mathematical models with an artificial intelligence base. As is logical, COVID is present in several manuscripts of this volume, always focused on the prediction and estimation of the presence of the disease. In addition to this expected presence, there are manuscripts of a semantic or syntactic analysis nature as well as works in the field of management and recommender systems. It is also worth mentioning several works in the field of video compression and signal processing. Of course, the Internet of Things and text analysis for several applications could not be missed in this volume. Finally, different manuscripts on usability and satisfaction, investments, solar panels, malware detection, video analysis, audio analysis and learning can also be found in this volume
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