Estonia: A Curious and Cautious Approach to Artificial Intelligence and National Security

Robinson, Nick; Hardy, Alex; Ertan, Amy

doi:10.2139/ssrn.4105328

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Several governments work with the corporate sector to develop and execute AI-powered human resource management techniques (Al-Jubouri, 2023). This can include forming alliances with AI startups or technology corporations and establishing innovation hubs or centers of excellence for AI research and development (Robinson et al, 2022). Researchers are increasingly interested in the potential of AI to improve HRM, particularly in areas such as recruiting, performance management, and employee engagement.…”

Section: Government Perspectivementioning

confidence: 99%

Identification of HRM Improvement Strategy Using Artificial Intelligence in Modern Economic Development

Sabil,

Bangkara,

Mogea

et al. 2023

J. Professional Business Review

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Purpose: This literature review study aims to identify HRM improvement strategies using artificial intelligence (AI) in modern economic development. Theoretical framework: The study will review existing literature and synthesize the findings to identify best practices and key strategies for implementing AI in HRM. The study will focus on the role of AI in HRM improvement and explore how AI can be used to enhance recruitment, training, performance management, and employee engagement. Design/methodology/approach: Literature review, the search approach will include keywords and Boolean operators to guarantee that relevant research is located. The study questions and goals will define the inclusion and exclusion criteria. The study will also look at the hurdles of implementing AI in HRM and recommend overcoming them. Findings: The findings of this study will be helpful for organizations seeking to improve their HRM practices using AI and for researchers interested in the intersection of AI and HRM in modern economic development. Research, Practical & Social implications: The results of the study are useful for policymakers in identifying strategies to improve human resource management using artificial intelligence (AI) in modern economic development. Originality/value: The research value of this text is its suggestions for conducting more research on how AI affects HRM processes and employee engagement, for creating clear rules and standards for the ethical use of AI in HRM, for teaching HR professionals how to use AI-powered HRM tools and strategies effectively, for fostering collaboration between academic researchers, business leaders, government officials, and other stakeholders, and for overseeing the effects of AI.

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Section: Government Perspectivementioning

confidence: 99%

Identification of HRM Improvement Strategy Using Artificial Intelligence in Modern Economic Development

Sabil,

Bangkara,

Mogea

et al. 2023

J. Professional Business Review

View full text Add to dashboard Cite

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Reconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence

Westerstrand

2024

Sci Eng Ethics

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The popularisation of Artificial Intelligence (AI) technologies has sparked discussion about their ethical implications. This development has forced governmental organisations, NGOs, and private companies to react and draft ethics guidelines for future development of ethical AI systems. Whereas many ethics guidelines address values familiar to ethicists, they seem to lack in ethical justifications. Furthermore, most tend to neglect the impact of AI on democracy, governance, and public deliberation. Existing research suggest, however, that AI can threaten key elements of western democracies that are ethically relevant. In this paper, Rawls’s theory of justice is applied to draft a set of guidelines for organisations and policy-makers to guide AI development towards a more ethical direction. The goal is to contribute to the broadening of the discussion on AI ethics by exploring the possibility of constructing AI ethics guidelines that are philosophically justified and take a broader perspective of societal justice. The paper discusses how Rawls’s theory of justice as fairness and its key concepts relate to the ongoing developments in AI ethics and gives a proposition of how principles that offer a foundation for operationalising AI ethics in practice could look like if aligned with Rawls’s theory of justice as fairness.

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Artificial Intelligence in Higher Education

Jupalli

Reddy

Kondaveeti

2022

Mobile and Sensor-Based Technologies in Higher Education

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In the past decades, AI was not playing a pivotal role in technology. But now, artificial intelligence is a key part of the revolution of technology. AI has become a powerful tool in recent years, enabling machines to think and act like humans. AI helps in developing a better approach to teaching students (i.e., adaptive learning where a computer algorithm identifies the rate of learning of a student and adapts itself so that the student learns efficiently). The aim of implementing AI in education is not to replace tutors, but to assist them in understanding the potential and limitations of each student individually. This chapter will cover the introduction, existing applications, and new applications of artificial intelligence in higher education. The prime focus of the chapter will be on the approaches to different product developments and their implementation using artificial intelligence in the education sector. It provides a brief idea of how the existing applications solve the problems in higher education and new approaches to make higher education more efficient.

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Estonia: A Curious and Cautious Approach to Artificial Intelligence and National Security

Cited by 4 publications

References 7 publications

Identification of HRM Improvement Strategy Using Artificial Intelligence in Modern Economic Development

Identification of HRM Improvement Strategy Using Artificial Intelligence in Modern Economic Development

Reconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence

Artificial Intelligence in Higher Education

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