Today's Intelligence Research Articles

Emotional intelligence in today's management paradigm

Emotional intelligence in today's management paradigm

THE ROLE OF ART TEACHERS IN DEVELOPING INTERPERSONAL INTELLIGENCE OF JUNIOR SECONDARY STUDENTS IN SRI LANKA

This study was conducted with the main objective of examining the role of art teachers in developing interpersonal intelligence in today's school education. For that, the opportunities in the subject of art and the problems faced by teachers in developing interpersonal intelligence were kept as specific objectives. Survey design was used to study this research. 60 art teachers were selected using simple random sampling technique. A questionnaire was used for data collection. Data analyzed using quantitative methods. It was revealed that there are enough opportunities to develop the interpersonal model in the art subject. It was clear that activities related to pair group activities have been included in the learning and teaching process. But it was also revealed that the development of interpersonal intelligence does not take place sufficiently in the classroom. According to these findings, it could be concluded that there are enough opportunities and activities for the development of interpersonal intelligence in the syllabus. Accordingly, it was concluded that the teacher's role in the development of interpersonal intelligence is not fulfilled properly. Suggestions were also made to mitigate this problem. To develop interpersonal intelligence, traditional teaching methods should be avoided and student-centered and practical teaching methods should be adopted. It was suggested that it is necessary to direct students to curricular as well as extra-curricular activities.

Legal Regulation in the Field of Artificial Intelligence: Assessment and Prospects

Purpose: The purpose of the article is to substantiate the need for advanced development of the regulatory framework for the practical application of artificial intelligence technologies and regulation of property turnover of objects equipped with artificial intelligence technologies. Theoretical framework: The combination of information studied in advance by several authors and with the contribution of the findings presented in this work allows maximizing the knowledge of future researchers who decide to study and to determine the role of artificial intelligence within the framework of legal relations. The rapid development of AI technologies raises questions about the need to establish legal norms and regulation. Design/methodology/approach: The research method is a comparative analysis of the current state and legal regulation of artificial intelligence technologies, a conceptual assessment of the impact and characteristics of legal risks of using artificial intelligence technologies. Findings: This study emphasizes the importance of developing appropriate regulations and preparing the legal field for the wider adoption of artificial intelligence. Research, Practical & Social implications: The authors analyze different points of view on how AI should be perceived - as an object of legal regulation or as a subject of law. The authors conclude that artificial cognitive capacity today's intelligence has not yet reached a level of development that allows it to replicate the thought processes of a lawyer in resolving a legal dispute. In addition, artificial intelligence has a huge potential to become an indispensable technological "assistant" of the lawyer, contributing to the improvement of quality and efficiency of legal services.

Building Resilience in the European Union in Times of Polycrisis and Challenges in the Cognitive Domain

This aim of this publication is to draw attention to the need to build resilience in the societies and Member States of the European Union in times of “polycrisis” and challenges in the cognitive domain. Following an analysis of global risks and hybrid threats, as well as the emergence of artificial intelligence in today's communication and security environment, certain recommendations and conclusions are drawn to enable the EU to exploit its potential to be a “multidimensional power”, overcoming non-kinetic challenges to vulnerabilities in democratic societies, citizens' minds and emotions. In this research, a range of political science analysis methods were employed. In addition, the “mind maps” technique of the British psychologist Tony Buzan was implemented by enabling the synthesis of ideas through visual representations. On the eve of the European elections in 2024, the publication draws key conclusions and recommendations for overcoming the challenges of desinformation, perception management and psychological manipulation, which undermine trust in democratic institutions and prevent decision-makers from countering them. These include: building resilience through education, media literacy, critical thinking, digital competencies, mental toughness; the ability to think not only fast but also slow; the application of exponential design to strategic thinking; multilateralism and close cooperation with NATO.

La inteligencia artificial y su impacto en el comportamiento social: una revisión de alcance

This paper presents a documentary review of the challenges of artificial intelligence in today's world and the social challenges of coexisting with new technologies. For this purpose, a literature search was carried out in the leading open-access journals. In addition, a simple random population was surveyed using artificial intelligence and the possible impacts on social behavior. The results show that the literature aligns with the social perception that the excessive use of intelligent tools can be detrimental to people and that it is essential to be cautious with intelligent applications.

The Role of GDPR in Artificial Intelligence, the Collection of Sensitive Personal Data and the Big Data.

Without a doubt, artificial intelligence in today's era has made tremendous progress, it is all around us in various forms and automation. It is constantly evolving and the goal is to reach a level where it will be very close to human thought and logic and will be able to perform processes that were time-consuming, complex, or thought impossible until now. To implement all of the above, sophisticated algorithms and a large collection of data, known as Big Data, are required in order to extract the necessary information to be used later by the algorithms. All countries of the world do not apply the same policy to protect their citizens' personal data, some countries apply a strict policy and other countries do not apply any personal data protection policy. Big Data and artificial intelligence, unfortunately, do not discriminate between countries and the laws applied by the country, Big Data is collected from different sources, in different ways, and the way of processing varies. Given the above, it is impossible to apply the GDPR to limit and control the personal data of European citizens living in the European Union. Citizens of the European Union do not have the possibility to give their consent or not to the personal data collected and processed by third parties. It should be noted that the GDPR regulation is opt-in / opt-out which means that the European citizen should always give his/her consent to the collection, storage, and processing of personal data, he/she is also given the possibility to request the deletion of his/her personal data. This is a problem with Big Data, as there is no consent from the citizen. The European citizen, when he/she becomes aware of the leakage of his personal data, can do little to secure his personal data that has been leaked, he/she can report the leak to the competent authority for the protection of personal data, and the citizen himself can contact the company/organization directly from which it realized the projection of its personal data, can contact non-governmental organizations that deal with the protection of personal data, or proceed to third-party organizations that may be available in each country. It is true that the citizen has minimal capabilities, and his/her personal data that has been published and that he/she does not know to the real extent exists in data centers around the world, the citizen detected a specific leak of personal data, does not mean this are the unique personal data that exist for the specific citizen, there may be other personal data that either have not yet been processed or have not yet been identified by the algorithms.

Leverage Utility Management and Artificial Intelligence in Today's COVID‐19 World

An Illinois water utility's ability to optimize water distribution network monitoring through artificial intelligence and automation gives it operational resilience to meet current and future challenges.

Investigation of Human Monitoring Capabilities for Multiple Watch Windows

Due to an abundance of data and dynamic nature of tasks, challenges with information retrieval in surveillance and target identification tasks have risen in today's Intelligence, Surveillance, and Reconnaissance (ISR) community. In this study, two variables, Area of Coverage and Amount of Activity (AOC/ACT), are manipulated to study their effects on the number of Watch Windows an observer can monitor. This research describes the analyst's task model, and explains how the level of AOC/ACT and number of Watch Windows affects the analyst's cognitive load. Results showed a significant difference in performance and physiological indicators of workload between high AOC/ACT conditions and low AOC/ACT conditions. A linear correlation was exhibited between the number of Watch Windows and the number of fixations. The results show that these variables can be manipulated in tasking to maintain appropriate levels of cognitive workload.

Overlord/Bodyguard: Intelligence Failure through Adversary Deception

In wartime, truth is so precious that she should always be attended by a bodyguard of lies. —Winston Churchill Much of today's intelligence literature emphasizes the role of cognitive bias and orga...

Adopting risk intelligence in today's volatile market

Risk intelligence refers to the ability to make informed decisions about risks based on historical, current and future views of a business. Its profile in the financial services industry has risen significantly since the collapse of Lehman's in 2008. Here, a lack of vital and updated risk information such as counterparty risk exposures, liquidity numbers and risk-based performance metrics for intraday trading made the ability to make informed decisions very difficult. As such, financial institutions (FIs) were in jeopardy of making the wrong decisions and in many cases no decisions were being taken. As these dramatic events showed, pinpointing where risk lies is not always straightforward and as a result many financial institutions now consider navigating the volatility of today's markets without the ability to understand and manage risk intraday to be very dangerous. Risk managers are now rapidly changing their approach to risk management with real-time risk intelligence becoming the goal for many FIs, particularly within the trading and capital markets arena. Many are looking to roll out real-time analytics across their operations including foreign exchange, interest-rate, credit, equities and fixed-income trading. To date only a handful of FIs have this capability and it is still limited, most are still struggling with the fundamentals of consolidated or enterprise risk management. Based on the recent Chartis Research report, Real-time Risk Intelligence — Leading Practices from Quartet FS (2010, London), the author suggests why conventional risk management methods no longer suffice and provides an overview of some of the difficulties in achieving real-time risk intelligence, as well as describing some of the new approaches forward-thinking FIs are taking in order to meet the requirements of today's market.

Family Ties in the Making of Modern Intelligence

In today's intelligence community, elaborate background checks yield mounds of details about a prospect's life and history, but in the formative years of British intelligence between 1909-1919, these procedures were only just emerging. As with diplomatic personnel, intelligence workers needed to be entities, whose discretion and background could be assured. This process of subjecting prospects to an examination in order to separate likely candidates from unsuitable ones is known today as vetting. This paper explores the cultural practice of vetting and the ways in which twentieth-century British intelligence not only depended upon and exploited familial connections in order to gain recommendations for personnel, but more importantly, used the notion of family loyalty to shape the assumptions and realities of such intelligence work. Certainly intelligence workers were not without considerable skills, often in languages, yet other considerations such as class background, family connections, gender, and nationality were the real filters used to vet personnel.

7.6.4 World Class Intelligence Analysis

AbstractThis paper describes how combining certain aspects of systems re‐engineering with intelligence analysis creates a hybrid methodology resulting in a major transformation of the intelligence analysis discipline. The world and technology have changed over the years and now actionable intelligence must be provided in a collaborative environment prior to and during crises. Analysis of today's intelligence complexities demands a move away from analytic thinking to systems thinking. By introducing the concept of a “system” into the process of intelligence analysis, analysts are empowered to create and use systems models. These system models comprise all of the systems necessary for world‐class intelligence analysis – to include systems‐of‐systems of target, customer, and analyst. To the degree that these models are sufficiently accurate, the analyst can apply logic and judgment to produce projections of the future. Therefore, a continuing close customer‐analyst collaborative relationship enables professional determination of the most likely consequences of alternative customer operations.

Artificial intelligence in today's factory

Artificial intelligence in today's factory