scholarly journals Rebalancing our regulatory response to Deepfakes with performers’ rights

2021 ◽  
pp. 135485652110334
Author(s):  
Mathilde Pavis
Keyword(s):  
Artificial Intelligence ◽  
Ad Hoc ◽  
Important Change ◽  
Policy Makers ◽  
Regulatory Response ◽  
Legal Remedies ◽  
Intellectual Property Policy ◽  
Scope Of Application ◽  
The Difference ◽  
Artificial Intelligence Systems

Law experts have been actively looking for solutions within the law to control Deepfakes since their emergence in 2017. This article puts forward performers’ rights as a suitable regulatory tool for Deepfakes, defined as synthetic performances produced using artificial intelligence systems. In many respects, performers’ rights represent a more sophisticated response to the challenges posed by Deepfake technology compared to existing legal remedies and reform proposals introduced to regulate Deepfakes. In making its case for performers’ rights as suitable regulatory response to Deepfakes, this article uncovers a tension: performers’ rights are an attractive solution to regulate Deepfakes but this technology challenges their scope of application. This is because Deepfakes uses content protected by performers’ rights (performances) in a way unforeseen by intellectual property policy-makers at the time these rights were introduced into law. Despite this limitation, performers’ rights remain one of the most attractive legal remedies in regulating Deepfakes, if adequately reformed. This article proposes two routes for the reform of performers’ rights to address this gap. The first involves an ad hoc modification of performers’ rights to ensure that performances manipulated by Deepfakes are covered. The second and preferred recommendation replaces the regime of performers’ rights with a regime of performers’ copyright. This small, yet important, change in legal regimes can be the difference between piecemeal, uneven and, therefore, ineffective protection against unauthorized Deepfakes and a harmonized international approach to the technology.

scholarly journals Meramal Krisis Keuangan di Indonesia

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Teguh Sihono
Keyword(s):  
Financial Crisis ◽  
Ad Hoc ◽  
Parametric Models ◽  
Common Pattern ◽  
Policy Makers ◽  
Alpha Level ◽  
The Usa ◽  
The Difference ◽  
The Interest Rate ◽  
Early Indicators

The policy makers in Indonesia is more Ad-hoc and myopic (the radar far) to make policy. With various models and methods can be made a prediction or forecast about the financial and banking crisis, and even can diagnose the health of can economy. The crisis that can accur in various parts of the world causing expert 1o try to find the cause, a common pattern (stylized facts) that is experts to developed a method to detect the financial crisis, it can even be used to see in the future economy performance. Crisis in Indonesia that occurred in 1971-1975 as the sample to predict a crisis of Indonesia in 1997 whose results were in general quite.There are several models developed to predict the financial crisis imn Indonesia include: parametric models/econometric models and non parametric, such as signals, the model logitlprobit, hybrid model that includes macro and micro prudential and artificial neural network model. Each using a similar indicator, only the number of indicators (its nodes) are indeed different.From the various models and methods developed, has the performance and results of analysis or early indicators are almost the same/similar and significant at 5% alpha level. It's just an early indicator of the difference and the probability that a crisis will occur when using a forecasting and prediction in outside sample. The performance of each model is adequate in terms of occurancy in predicting the probability of financial crisis in Indonesia. Early indicators are an important contribution in predicting the probability of financial crisis in Indonesia are: real exchange rate, fiscal deficit. the credit ratio to Gross Domestic Product (GOP, world oil prices, growth in export and import, government consumption, domestic Imterest rate spread is the interest rate "The Fed" (The Federal Reserve The Central Bank of The USA).

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Patterns of care in Italian psychiatric services and psychosocial outcome of schizophrenic patients. A three-year prospective study

1989 ◽  
Vol 4 (1) ◽  
pp. 23-31 ◽  
Author(s):  
D. Kemali ◽  
M. Maj ◽  
B. Carpiniello ◽  
R.D. Giurazza ◽  
M. Impagnatiello ◽  
...  
Keyword(s):  
Psychosocial Adjustment ◽  
Ad Hoc ◽  
Social Withdrawal ◽  
Skills Training ◽  
Favourable Outcome ◽  
Stepwise Logistic Regression ◽  
Psychosocial Outcome ◽  
Stepwise Logistic Regression Analysis ◽  
Schizophrenic Patients ◽  
The Difference

Summary141 patients with an ICD-9 diagnosis of schizophrenic psychosis were followed up prospectively for 3 years in 7 Italian centres, representative of the different degrees of application of the psychiatric reform law (Law 180) passed in 1978. It was agreed that each centre would treat the patients according to its routine, and that all contacts with the patients and each intervention performed would be carefully recorded in an ad hoc schedule. The baseline evaluation of psychosocial adjustment was performed by the Disability Assessment Schedule (DAS), and this assessment was then repeated every 6 months during the follow-up period. At the end of this period, the rating on the DAS section 5 was taken as a global measure of patients’ psychosocial outcome. On a stepwise logistic regression analysis, 2 variables were found to be significantly predictive of psychosocial outcome, that is the use of social and/or vocational skills training (associated with a favourable outcome) and the number of days/year of full hospitalization (associated with a poor outcome). Trieste and Arezzo were the only centres in which a significant improvement of the score on some DAS subscales (namely, “occupational role, interest” and “social withdrawal”) was detected. In the whole patient sample, the difference between the final and the baseline score on these subscales correlated significantly with the number/year of outpatient contacts and of home visits. These findings confirm the favourable impact of the community-oriented care provided in some Italian centres on the Psychosocial outcome of schizophrenic patients.

Are artificial intelligence systems useful in breast cancer screening programmes?

2021 ◽  
Vol 63 (3) ◽  
pp. 236-244
Author(s):  
O. Díaz ◽  
A. Rodríguez-Ruiz ◽  
A. Gubern-Mérida ◽  
R. Martí ◽  
M. Chevalier
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Artificial Intelligence Systems

scholarly journals On the Juridical Relevance of the Phenomenological Notion of Person in Max Scheler and Edith Stein

2021 ◽  
Author(s):  
Francesco Galofaro
Keyword(s):  
Artificial Intelligence ◽  
Edmund Husserl ◽  
Phenomenological Analysis ◽  
Machine Learning Algorithms ◽  
Decision Makers ◽  
Edith Stein ◽  
Max Scheler ◽  
Human Decision ◽  
The Difference ◽  
Social Units

AbstractThe paper presents a semiotic interpretation of the phenomenological debate on the notion of person, focusing in particular on Edmund Husserl, Max Scheler, and Edith Stein. The semiotic interpretation lets us identify the categories that orient the debate: collective/individual and subject/object. As we will see, the phenomenological analysis of the relation between person and social units such as the community, the association, and the mass shows similarities to contemporary socio-semiotic models. The difference between community, association, and mass provides an explanation for the establishment of legal systems. The notion of person we inherit from phenomenology can also be useful in facing juridical problems raised by the use of non-human decision-makers such as machine learning algorithms and artificial intelligence applications.

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