Changing Landscape of Recruitment Industry: A Study on the Impact of Artificial Intelligence on Eliminating Hiring Bias from Recruitment and Selection Process

2020 ◽  
Vol 17 (9) ◽  
pp. 4404-4407
Author(s):  
P. V. Raveendra ◽  
Y. M. Satish ◽  
Padmalini Singh
Keyword(s):  
Artificial Intelligence ◽  
Selection Process ◽  
Potential Solution ◽  
Review Of Literature ◽  
Unconscious Bias ◽  
The Unconscious ◽  
The Past ◽  
Recruitment And Selection ◽  
The Impact

An emerging trend of implementing Artificial Intelligence (AI) technologies can be seen in such domains that were solely dominated by humans. Today, AI is utilized extensively in HR department to assist and accelerate recruitment and selection process (Martin, F.R., 2019. Employers Are Now Using Artificial Intelligence To Stop Bias In Hiring. Retrieved September 22, 2019, from analyticsindiamag. com: https://analyticsindiamag.com/employersare-using-ai-stop-bias-hiring/.). This paper attempts to present the impact of AI on recruitment and selection process, incorporation of AI in eliminating unconscious biases during hiring. The study addresses the rising questions such as how AI has changed the landscape of recruitment industry, role of AI in recruitment and selection process, whether AI can help in eliminating the unconscious bias during recruitment and selection process. In order to uncover the understanding and figure out the potential solutions that AI brings to the HR process, an extensive review of literature has been carried out. It is concluded by analyzing the past contributions that AI offers potential solution to recruitment managers in optimizing the recruitment and selection process and is able to negate human biases prevalent during hiring. The future waits for augmented intelligence technologies offering better results taking over repetitive administrative jobs completely.

Impact of dust and sand storms on the aviation operation and assessment of conditions for their occurrence at aerodromes in European Russia

2020 ◽  
Vol 4 ◽  
pp. 78-95
Author(s):  
A.R. Ivanova ◽  
◽  
E.N. Skriptunova ◽  
N.I. Komasko ◽  
A.A. Zavialova ◽  
...  
Keyword(s):  
Seasonal Variations ◽  
Dust Storms ◽  
European Russia ◽  
Air Transport ◽  
Review Of Literature ◽  
Dust Transport ◽  
Air Masses ◽  
The Past ◽  
Sand Storm ◽  
The Impact

A review of literature on the impact of dust and sand storms on the air transport operation is presented. Observational data on dust storms at the aerodromes of European Russia for the period of 2001-2019 are analyzed. The seasonal variations in dust transport episodes at aerodromes and its relationship with visibility changes are discussed. The characteristics of dusty air masses and advection are given. It is concluded that the frequency of dust transfer episodes for the aerodromes under study has decreased over the past five years, except for Gumrak aerodrome (Volgograd). Keywords: dust storm, sand storm, aviation, visibility, seasonal variations, aerodrome оf European Russia

Pupil with Obsessive-Compulsive Disorder

2017 ◽  
Vol 7 (2) ◽  
pp. 7-25
Author(s):  
Karolina Diallo
Keyword(s):  
Obsessive Compulsive Disorder ◽  
School Performance ◽  
School Environment ◽  
Detrimental Effect ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
The Past ◽  
And Performance ◽  
The Impact

Pupil with Obsessive-Compulsive Disorder. Over the past twenty years childhood OCD has received more attention than any other anxiety disorder that occurs in the childhood. The increasing interest and research in this area have led to increasing number of diagnoses of OCD in children and adolescents, which affects both specialists and teachers. Depending on the severity of symptoms OCD has a detrimental effect upon child's school performance, which can lead almost to the impossibility to concentrate on school and associated duties. This article is devoted to the obsessive-compulsive disorder and its specifics in children, focusing on the impact of this disorder on behaviour, experience and performance of the child in the school environment. It mentions how important is the role of the teacher in whose class the pupil with this diagnosis is and it points out that it is necessary to increase teachers' competence to identify children with OCD symptoms, to take the disease into the account, to adapt the course of teaching and to introduce such measures that could help children reduce the anxiety and maintain (or increase) the school performance within and in accordance with the school regulations and curriculum.

History and Morality

2020 ◽  
Author(s):  
Donald Bloxham
Keyword(s):  
Foreign Country ◽  
Moral Thought ◽  
Majority Opinion ◽  
The Past ◽  
Wide Range ◽  
Moral Judgements ◽  
Value Judgements ◽  
The Impact

Against majority opinion within his profession, Donald Bloxham argues that it is legitimate, often unavoidable, and frequently important for historians to make value judgements about the past. History and Morality draws on a wide range of historical examples, and its author’s insights as a practising historian. Examining concepts like impartiality, neutrality, contextualization, and the use and abuse of the idea of the past as a foreign country, Bloxham’s book investigates how the discipline has got to the point where what is preached can be so inconsistent with what is practised. It illuminates how far tacit moral judgements infuse works of history, and how strange those histories would look if the judgements were removed. Bloxham argues that rather than trying to eradicate all judgemental elements from their work historians need to think more consistently about how, and with what justification, they make the judgements that they do. The importance of all this lies not just in the responsibilities that historians bear towards the past—responsibilities to take historical actors on those actors’ own terms and to portray the impact of those actors’ deeds—but also in the role of history as a source of identity, pride, and shame in the present. The account of moral thought in History and Morality has ramifications far beyond the activities of vocational historians.

scholarly journals The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

2021 ◽  
Author(s):  
Francesco Piccialli ◽  
Vincenzo Schiano di Cola ◽  
Fabio Giampaolo ◽  
Salvatore Cuomo
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trials ◽  
Digital Transformation ◽  
Daily Activities ◽  
Commercial Vehicles ◽  
Human Skills ◽  
To Come ◽  
Complex Scenario ◽  
The Impact

AbstractThe first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.

The Role of UBI in Mitigating the Effects of Psychosocial Stressors: A Review and Proposal

2021 ◽  
pp. 003329412110051
Author(s):  
Rashmi Gupta ◽  
Jemima Jacob ◽  
Gaurav Bansal
Keyword(s):  
Role Stress ◽  
Psychosocial Stressors ◽  
Basic Income ◽  
Economic Stability ◽  
The Past ◽  
Individual Outcomes ◽  
Long Term Impact ◽  
The Impact

Psychosocial stressors and social disadvantages contribute to inequalities in opportunities and outcomes. In the current paper, we use an epidemiological perspective and highlight the role stress plays on individuals by reviewing the outcomes of major stressors such as poverty and unemployment. We further analyzed the psychological and physical cost of these stressors and their long-term impact. We examined the role of universal basic income and closely looked at income experiments that were implemented in the past, in terms of their effectiveness in enhancing the community as well as individual outcomes and propose the UBI as a tool for alleviating the impact of these stressors. At a time when a major pandemic (e.g., COVID-19) threatens economic stability and health globally, we believe the UBI is relevant now, more than ever.

scholarly journals Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications

2020 ◽  
Vol 17 (10) ◽  
pp. 3730 ◽  
Author(s):  
Sina Shaffiee Haghshenas ◽  
Behrouz Pirouz ◽  
Sami Shaffiee Haghshenas ◽  
Behzad Pirouz ◽  
Patrizia Piro ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Infectious Disease ◽  
Relative Humidity ◽  
Cost Function ◽  
Selection Process ◽  
Environmental Parameters ◽  
Pso Algorithm ◽  
Data Set ◽  
De Algorithm

Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global crisis. Hence, the main aim of this study is to prioritize and analyze the role of certain environmental parameters. For this purpose, four cities in Italy were selected as a case study and some notable climate parameters—such as daily average temperature, relative humidity, wind speed—and an urban parameter, population density, were considered as input data set, with confirmed cases of COVID-19 being the output dataset. In this paper, two artificial intelligence techniques, including an artificial neural network (ANN) based on particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm, were used for prioritizing climate and urban parameters. The analysis is based on the feature selection process and then the obtained results from the proposed models compared to select the best one. Finally, the difference in cost function was about 0.0001 between the performances of the two models, hence, the two methods were not different in cost function, however, ANN-PSO was found to be better, because it reached to the desired precision level in lesser iterations than ANN-DE. In addition, the priority of two variables, urban parameter, and relative humidity, were the highest to predict the confirmed cases of COVID-19.

New Agendas for Special Education Policy: What the National Reports Haven't Said

1987 ◽  
Vol 53 (4) ◽  
pp. 295-299 ◽  
Author(s):  
Marleen Pugach ◽  
Mara Sapon-Shevin
Keyword(s):  
Special Education ◽  
Education Policy ◽  
Educational Reform ◽  
Special Focus ◽  
Special Education Policy ◽  
The Past ◽  
The Subject ◽  
The Impact ◽  
The Relationship

The calls for educational reform that have dominated the professional and lay literature for the past few years have been decidedly silent in discussing the role of special education either as a contributor or a solution to the problems being raised. As an introduction to this “Special Focus” on the relationship between general educational reform and special education, this article summarizes some of the more prominent reports with regard to their treatment (and nontreatment) of special education. The impact of proposed reforms for the conceptualization and operation of special education is the subject of the five articles that follow.

scholarly journals An analytical survey on the role of machine learning algorithms in case of intrusion detection

2020 ◽  
Vol 5 (19) ◽  
pp. 32-35
Author(s):  
Anand Vijay ◽  
Kailash Patidar ◽  
Manoj Yadav ◽  
Rishi Kushwah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Handling Mechanism ◽  
The Impact

In this paper an analytical survey on the role of machine learning algorithms in case of intrusion detection has been presented and discussed. This paper shows the analytical aspects in the development of efficient intrusion detection system (IDS). The related study for the development of this system has been presented in terms of computational methods. The discussed methods are data mining, artificial intelligence and machine learning. It has been discussed along with the attack parameters and attack types. This paper also elaborates the impact of different attack and handling mechanism based on the previous papers.

scholarly journals Public policy, public utility and citizens: The impact of privatization

2017 ◽  
Author(s):  
Μαντώ Λαμπροπούλου (Manto Lampropoulou)
Keyword(s):  
Public Utility ◽  
Network Industries ◽  
Public Enterprises ◽  
Economic Implications ◽  
The Past ◽  
Key Stakeholders ◽  
Post War ◽  
The Impact ◽  
The Relationship

Over the past two decades, utilities policy in Greece has been steadily shifting towards privatization and liberalization. This shift signified a critical reconsideration of the boundaries and the dynamics of the relationship between the state and the market in network industries. Public debate usually focuses on issues of ownership of public enterprises and economic performance. On the contrary, this book places the emphasis on the socio-economic implications of utilities policy for citizens. A key issue is the impact of privatization on the relationship between government (state), public enterprises (market) and citizens (society). The study covers the period from the post-war state monopolies to the current circumstances of mixed/private ownership of public enterprises and liberalized markets. The main questions addressed in this book are the following: What is the rationale (legitimization) for government intervention in the utilities sector? What are the politics of nationalization and privatization? How different policy contexts affect the institutional, organizational and regulatory framework of the utilities sector? Who are the key-stakeholders and policy actors? What is the role of citizens? What is the (re)distribution of utilities policy costs and benefits among stakeholders?

scholarly journals Inferring recent evolutionary changes in speech sounds

2021 ◽  
Vol 376 (1824) ◽  
Author(s):  
Steven Moran ◽  
Nicholas A. Lester ◽  
Eitan Grossman
Keyword(s):  
Language Contact ◽  
Language Evolution ◽  
Speech Sounds ◽  
Theme Issue ◽  
Short Term ◽  
The Past ◽  
Evolutionary Changes ◽  
The One ◽  
The Impact

In this paper, we investigate evolutionarily recent changes in the distributions of speech sounds in the world's languages. In particular, we explore the impact of language contact in the past two millennia on today's distributions. Based on three extensive databases of phonological inventories, we analyse the discrepancies between the distribution of speech sounds of ancient and reconstructed languages, on the one hand, and those in present-day languages, on the other. Furthermore, we analyse the degree to which the diffusion of speech sounds via language contact played a role in these discrepancies. We find evidence for substantive differences between ancient and present-day distributions, as well as for the important role of language contact in shaping these distributions over time. Moreover, our findings suggest that the distributions of speech sounds across geographic macro-areas were homogenized to an observable extent in recent millennia. Our findings suggest that what we call the Implicit Uniformitarian Hypothesis, at least with respect to the composition of phonological inventories, cannot be held uncritically. Linguists who would like to draw inferences about human language based on present-day cross-linguistic distributions must consider their theories in light of even short-term language evolution. This article is part of the theme issue ‘Reconstructing prehistoric languages’.

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