scholarly journals The quest for interpretable and responsible artificial intelligence

2019 ◽  
Vol 41 (5) ◽  
pp. 16-19
Author(s):  
Vaishak Belle
Keyword(s):  
Artificial Intelligence ◽  
Computational Biology ◽  
Data Science ◽  
Positive Impact ◽  
Public Life ◽  
Core Component ◽  
Finance Law ◽  
Private And Public ◽  
And Robotics

Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applications in computational biology, finance, law and robotics. However, such a highly positive impact is coupled with significant challenges: how do we understand the decisions suggested by these systems in order that we can trust them? How can they be held accountable for those decisions?

scholarly journals Principles and Practice of Explainable Machine Learning

2021 ◽  
Vol 4 ◽  
Author(s):  
Vaishak Belle ◽  
Ioannis Papantonis
Keyword(s):  
Machine Learning ◽  
Data Science ◽  
Positive Impact ◽  
Future Research ◽  
Law And Finance ◽  
Industry Standards ◽  
Wide Range ◽  
Private And Public ◽  
The Right ◽  
Post Hoc

Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a core component of data science, and currently drives applications in diverse areas such as computational biology, law and finance. However, such a highly positive impact is coupled with a significant challenge: how do we understand the decisions suggested by these systems in order that we can trust them? In this report, we focus specifically on data-driven methods—machine learning (ML) and pattern recognition models in particular—so as to survey and distill the results and observations from the literature. The purpose of this report can be especially appreciated by noting that ML models are increasingly deployed in a wide range of businesses. However, with the increasing prevalence and complexity of methods, business stakeholders in the very least have a growing number of concerns about the drawbacks of models, data-specific biases, and so on. Analogously, data science practitioners are often not aware about approaches emerging from the academic literature or may struggle to appreciate the differences between different methods, so end up using industry standards such as SHAP. Here, we have undertaken a survey to help industry practitioners (but also data scientists more broadly) understand the field of explainable machine learning better and apply the right tools. Our latter sections build a narrative around a putative data scientist, and discuss how she might go about explaining her models by asking the right questions. From an organization viewpoint, after motivating the area broadly, we discuss the main developments, including the principles that allow us to study transparent models vs. opaque models, as well as model-specific or model-agnostic post-hoc explainability approaches. We also briefly reflect on deep learning models, and conclude with a discussion about future research directions.

Digitalism and Jobs of the Future

2022 ◽  
pp. 1-20
Author(s):  
Gamze Sart ◽  
Orkun Yildiz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Science ◽  
Strong Relationship ◽  
New Order ◽  
Occupational Groups ◽  
The Future ◽  
And Robotics ◽  
Learning Data

There has been a strong relationship between digitalism and the future of jobs. Reports by OECD and WEF examined the jobs in the coming decades, and the findings show that there is a completely new order in the professions that we are not familiar with. In addition, how the impacts of artificial intelligence (AI), machine learning, data science, and robotics have affected labour, the market is analyzed. The findings in the reports clearly would affect the careers of the next generations. With the post-pandemic developments and the rapid advancement of technology in many areas worldwide, digitalization has gained significant momentum. This situation manifested itself in professions and workforce. However, it is obvious that in the coming years, with digitalization, many occupational groups and accordingly, differences in skills will be seen. While some occupational groups disappear completely, it is seen that some new occupational groups will emerge and, some will transform.

scholarly journals Challenging students to develop work-based skills: A PBL experience

2020 ◽  
Author(s):  
Alba Manresa Matas ◽  
Jasmina Berbegal-Mirabent ◽  
Dolors Gil-Domenech1
Keyword(s):  
Artificial Intelligence ◽  
Labour Market ◽  
Undergraduate Students ◽  
Learning Process ◽  
Data Science ◽  
Positive Impact ◽  
Business Administration ◽  
Project Based Learning ◽  
Digital Skills ◽  
Oral Skills

In today’s changing world the skills and habilities required for getting a job are rapidly changing. New trends such as globalization, data science, artificial intelligence and the never ending expansion of information and technology communications are changing the demands of the labour market. Accordingly, new skills are needed in order to succeed and get a job. As noted by the OECD, educators’ challenge lies in helping students develop their unique capacity to create, innovate and add value, skills that distinguish humans from machines. With this aim in mind, this study reports the results of a challenge-based activity (based on project-based learning) targeted to undergraduate students in Business Administration. The results reveal a positive impact of the methodologies on students’ learning process, their satisfaction and a positive improvement on a series of skills, namely teamwork, writting and oral skills, digital skills, capacity to identify and solve problems, capacity to work autonomously, analytical capacity and capacity to think critically

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.

دور علماء الإسلام في مواجهة التحديات بين المسلمين في الصين (The Role of The Islamic Scholars In Encountering The Challenges Among The Muslims In China)

1970 ◽  
Vol 13 (2) ◽  
pp. 83-116
Author(s):  
يونس عبد الله ما تشنغ بين الصيني
Keyword(s):  
Legal System ◽  
Chinese Language ◽  
Public Life ◽  
Islamic Culture ◽  
Private And Public ◽  
Islamic Faith

الملخّص إن بقاء الإسلام، ورغبة المسلمين في الحفاظ على عقيدة الإسلام، وشريعته السمحاء في الصين راجعة إلى جهود علمائنا الأجلاء الذين نَهَلُوا العلم الصافي من مَعِينِ القرآن والسنة. وخدمتهم من خلال ترجمة معاني القرآن الكريم، وتبسيط العقيدة والشريعة باللغة الصينية خير دليل على ذلك. ويحاول الباحث تسليط الضوء من خلال هذا البحث على طبيعة الإسلام في أرض الصين، كاشفا أمر وضع الإسلام وطبيعة حال المسلمين، وتحدياتهم قديما وحديثا، مبينا محاولتهم على حفاظ دين الإسلام، وأداء شعائره. ويؤمن الباحث من خلال توصيف حالة الإسلام والمسلمين، أن صلاح المسلمين، وبقاءهم كأمة مسالمة لا رغبة لها؛ إلا في الإصلاح، والتعمير في الأرض، فهو لا يتحقق إلا بإصلاح النفس، وعودتها إلى طاعة الله سرا وعلانية دون الإنغماس في تحقيق الرغبات المادية، وإشباع المطامع الشهوانية من خلال جمع حطام الدنيا دون الالتفات إلى حلال وحرام، وطاعة ومعصية.    الكلمات المفتاحيّة: جهود العلماء، ثقافة الإسلام، مصادر الإسلام الأصلية، التحديات، الصين، الدعوة.                                                                                             Abstract The continuation of Islam in China and the aspiration of the Muslims to maintain Islamic faith and its true tolerant legal system retract to the struggles of our respected scholars who learnt the knowledge of the Qurʼan and the Prophetic traditions (al-Sunnah). The services they rendered in translating the meaning of the Qurʼan, simplifying the creed and the legal system of Islam into Chinese language are good indications in that context. In this paper, the researcher is trying to highlight the normal nature of Islam in China by exploring the position and nature of the Muslims, their contemporary and past challenges, and revealing their attempts to preserve the religion of Islam in discharging the religious rites. Through the depiction of Islam and the Muslims, the researcher believes that the wellbeing of Muslims and their continuous survival to be a peace-loving nation could not be achieved without the reform and proper development through self-reformation and its return to full submission to Allah both in private and public life, and without indulging in attainment of material desires and satiating the lust of accumulating ephemeral materials of this world without paying any heed to lawfulness or unlawfulness, or to being obedient or disobedient. Keywords: Effort of the Scholars, Islamic Culture, Noble Origin of Islam, Challenges, Propagation of the Religion.

دور علماء الإسلام في مواجهة التحديات بين المسلمين في الصين The Role of The Islamic Scholars In Encountering The Challenges Among The Muslims In China

1970 ◽  
Vol 13 (1) ◽  
pp. 83-116
Author(s):  
يونس عبد الله ما تشنغ بين الصيني
Keyword(s):  
Legal System ◽  
Chinese Language ◽  
Public Life ◽  
Islamic Culture ◽  
Private And Public ◽  
Islamic Faith

الملخّصإن بقاء الإسلام، ورغبة المسلمين في الحفاظ على عقيدة الإسلام، وشريعته السمحاء في الصين راجعة إلى جهود علمائنا الأجلاء الذين نَهَلُوا العلم الصافي من مَعِينِ القرآن والسنة. وخدمتهم من خلال ترجمة معاني القرآن الكريم، وتبسيط العقيدة والشريعة باللغة الصينية خير دليل على ذلك. ويحاول الباحث تسليط الضوء من خلال هذا البحث على طبيعة الإسلام في أرض الصين، كاشفا أمر وضع الإسلام وطبيعة حال المسلمين، وتحدياتهم قديما وحديثا، مبينا محاولتهم على حفاظ دين الإسلام، وأداء شعائره. ويؤمن الباحث من خلال توصيف حالة الإسلام والمسلمين، أن صلاح المسلمين، وبقاءهم كأمة مسالمة لا رغبة لها؛ إلا في الإصلاح، والتعمير في الأرض، فهو لا يتحقق إلا بإصلاح النفس، وعودتها إلى طاعة الله سرا وعلانية دون الإنغماس في تحقيق الرغبات المادية، وإشباع المطامع الشهوانية من خلال جمع حطام الدنيا دون الالتفات إلى حلال وحرام، وطاعة ومعصية.   الكلمات المفتاحيّة: جهود العلماء، ثقافة الإسلام، مصادر الإسلام الأصلية، التحديات، الصين، الدعوة.                                                                                   AbstractThe continuation of Islam in China and the aspiration of the Muslims to maintain Islamic faith and its true tolerant legal system retract to the struggles of our respected scholars who learnt the knowledge of the Qurʼan and the Prophetic traditions (al-Sunnah). The services they rendered in translating the meaning of the Qurʼan, simplifying the creed and the legal system of Islam into Chinese language are good indications in that context. In this paper, the researcher is trying to highlight the normal nature of Islam in China by exploring the position and nature of the Muslims, their contemporary and past challenges, and revealing their attempts to preserve the religion of Islam in discharging the religious rites. Through the depiction of Islam and the Muslims, the researcher believes that the wellbeing of Muslims and their continuous survival to be a peace-loving nation could not be achieved without the reform and proper development through self-reformation and its return to full submission to Allah both in private and public life, and without indulging in attainment of material desires and satiating the lust of accumulating ephemeral materials of this world without paying any heed to lawfulness or unlawfulness, or to being obedient or disobedient.Keywords: Effort of the Scholars, Islamic Culture, Noble Origin of Islam, Challenges, Propagation of the Religion.

scholarly journals The use of artificial intelligence and robotics in regional anaesthesia

Anaesthesia ◽  
2021 ◽  
Vol 76 (S1) ◽  
pp. 171-181 ◽  
Author(s):  
M. McKendrick ◽  
S. Yang ◽  
G. A. McLeod
Keyword(s):  
Artificial Intelligence ◽  
Regional Anaesthesia ◽  
And Robotics

scholarly journals Symbiosis with artificial intelligence via the prism of law, robots, and society

2021 ◽  
Author(s):  
Stamatis Karnouskos
Keyword(s):  
Artificial Intelligence ◽  
Social Economic ◽  
Autonomous Robots ◽  
Law And Society ◽  
Citizenship Rights ◽  
Legal Entity ◽  
Profound Impact ◽  
The People ◽  
Physical Presence ◽  
And Robotics

AbstractThe rapid advances in Artificial Intelligence and Robotics will have a profound impact on society as they will interfere with the people and their interactions. Intelligent autonomous robots, independent if they are humanoid/anthropomorphic or not, will have a physical presence, make autonomous decisions, and interact with all stakeholders in the society, in yet unforeseen manners. The symbiosis with such sophisticated robots may lead to a fundamental civilizational shift, with far-reaching effects as philosophical, legal, and societal questions on consciousness, citizenship, rights, and legal entity of robots are raised. The aim of this work is to understand the broad scope of potential issues pertaining to law and society through the investigation of the interplay of law, robots, and society via different angles such as law, social, economic, gender, and ethical perspectives. The results make it evident that in an era of symbiosis with intelligent autonomous robots, the law systems, as well as society, are not prepared for their prevalence. Therefore, it is now the time to start a multi-disciplinary stakeholder discussion and derive the necessary policies, frameworks, and roadmaps for the most eminent issues.

scholarly journals Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ozan Karaca ◽  
S. Ayhan Çalışkan ◽  
Kadir Demir
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Medical Students ◽  
Data Science ◽  
Factor Model ◽  
Health Science ◽  
Measurement Tool ◽  
Validity And Reliability ◽  
Mathematical Concepts ◽  
Evaluation And Monitoring

Abstract Background It is unlikely that applications of artificial intelligence (AI) will completely replace physicians. However, it is very likely that AI applications will acquire many of their roles and generate new tasks in medical care. To be ready for new roles and tasks, medical students and physicians will need to understand the fundamentals of AI and data science, mathematical concepts, and related ethical and medico-legal issues in addition with the standard medical principles. Nevertheless, there is no valid and reliable instrument available in the literature to measure medical AI readiness. In this study, we have described the development of a valid and reliable psychometric measurement tool for the assessment of the perceived readiness of medical students on AI technologies and its applications in medicine. Methods To define medical students’ required competencies on AI, a diverse set of experts’ opinions were obtained by a qualitative method and were used as a theoretical framework, while creating the item pool of the scale. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were applied. Results A total of 568 medical students during the EFA phase and 329 medical students during the CFA phase, enrolled in two different public universities in Turkey participated in this study. The initial 27-items finalized with a 22-items scale in a four-factor structure (cognition, ability, vision, and ethics), which explains 50.9% cumulative variance that resulted from the EFA. Cronbach’s alpha reliability coefficient was 0.87. CFA indicated appropriate fit of the four-factor model (χ2/df = 3.81, RMSEA = 0.094, SRMR = 0.057, CFI = 0.938, and NNFI (TLI) = 0.928). These values showed that the four-factor model has construct validity. Conclusions The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

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