Artificial Intelligence

Susar, Deniz; Aquaro, Vincenzo

doi:10.1145/3326365.3326420

Cited by 27 publications

(10 citation statements)

References 1 publication

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“…Early adopters stand to gain an edge over the others by reaping the benefits of low operating costs, improved throughput and optimal performance. Every nation must be equipped to deal with the constant evolution of digital technology [22], [23]. This requires a data-centric strategy that is both more imaginative and collaborative.…”

Section: Discussionmentioning

confidence: 99%

Logistic Regression and Predictive Analysis in Public Services of AI Strategies

Mittal

Gautam

2023

TEM Journal

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An essential national practice in the general growth of societies and economies is the quick integration of digital capabilities, innovations, and IT skills with government services in public sector. The adoption of digital capabilities and technological advancements renders more efficacy and efficiency to the delivery of public sector government services. The increasing demands of corporations and residents, however, present a significant challenge for the governments. In order to exploit emerging digital technologies, government needs to engage, interact and cooperate with residents, society, and enterprises. It must structure itself and guarantee that appropriate technology is put to use. Technology and innovation must be strategically incorporated in the initiatives to modernize public sector services. The objective of the study is to investigate the impact of various factors like digital capabilities, technology skills, innovation, and data capabilities on the implementation of AI enabled public services. The study uses the Governments' Artificial Intelligence Readiness Index score of 100 countries from Oxford Insights and IDRC. The results imply that use of AI in public services has a significant impact on the purchase of cutting-edge technology, data, and innovative capabilities of a nation.

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Section: Discussionmentioning

confidence: 99%

Logistic Regression and Predictive Analysis in Public Services of AI Strategies

Mittal

Gautam

2023

TEM Journal

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“…Thus, creating a knowledge gap for African countries. Similarly, Susar and Aquaro (2019) discussed the opportunities and challenges related to the use of AI in government. The study also articulated examples of how AI is being applied in various governments, such as Singapore, Kazakhstan, Japan, and Argentina.…”

Section: Ai Research In the Public Sectormentioning

confidence: 99%

“…The study also articulated examples of how AI is being applied in various governments, such as Singapore, Kazakhstan, Japan, and Argentina. In addition, the latter study emphasized; (1) the potential of AI to accelerate development and enable developing countries to leapfrog over some traditional obstacles, and (2) that AI brings with it challenges, such as ethical implications and the need to overhaul the education curriculum required for capacity building in preparing the next generation for AI deployment (Susar & Aquaro, 2019). Zhang et al (2021) also articulated the factors influencing the use of artificial intelligence in government, from the perspective of China.…”

Section: Ai Research In the Public Sectormentioning

confidence: 99%

Glimpse into Botswana’s AI Readiness Landscape

Shonhe,

Kolobe

2023

JeDEM

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This study seeks to provide insights into Botswana’s AI readiness landscape. It was achieved by analysing secondary data from the Oxford Insights 2022- Government AI Readiness Index (AIRI). According to the AIRI, Botswana is in position 98, out of 181 countries surveyed. The major drawbacks to successful AI adoption were; a lack of AI strategy, limited capacity to support change, an immature technology sector incapable of supporting innovation, inadequate skills to support AI development, insufficient technological infrastructure to support AI, insufficient data to train AI models, and there are few use cases identified in the public sector. Despite these hurdles, the country is putting in efforts to transform digitally, and there are opportunities for improvement. The country is faring similarly, or even better than, regional peers but is lagging behind global peers in the upper middle-income group. Consequently, it is recommended that the government should start by developing an AI strategy to set the vision for AI adoption.

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“…Such progress in AI, in particular, has led to increased interest in Human-AI collaboration (HAC), where the unique strengths of humans and AI act synergistically. For instance, humans work collaboratively with AI for the sake of improving, optimizing, or automating tasks in their personal lives (Cheng, 2019;Parekh, 2017), work lives (Marijan et al, 2019;Yang et al, 2019), governance (Susar & Aquaro, 2019;Valle-Cruz & Sandoval-Almazan, 2018) and creative performance such as collaborative writing or art (Liu, 2019;Oh et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students' Learning Task Performance

Kim

Lee

2022

TechTrends

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A growing number of educators expect that artificial intelligence (AI) will augment students' capacities and rapidly transform the teaching and learning practice. However, there is a lack of convincing evidence on the effects of Student-AI Collaboration (SAC) on a learning task's performance. A critical examination of the effects on students' learning performance is a crucial step in understanding the potential benefits of SAC on learning. Through a repeated measure experiment participated by 20 undergraduate students in South Korea, this study examined the effects of SAC on a public advertisement drawing task. The findings revealed that SAC significantly affects creativity in content, expressivity in expression, and public utility in effectiveness varied depending on students' attitude toward AI or on the level of drawing skill. Implications for the design of educational AI and AI literacy education are discussed.

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Artificial Intelligence

Cited by 27 publications

References 1 publication

Logistic Regression and Predictive Analysis in Public Services of AI Strategies

Logistic Regression and Predictive Analysis in Public Services of AI Strategies

Glimpse into Botswana’s AI Readiness Landscape

Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students' Learning Task Performance

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