Harnessing AI to Foster Equity in Education: Opportunities, Challenges, and Emerging Strategies

Journal of Intelligent Learning Systems and Applications, Journal Year: 2023, Volume and Issue: 15(04), P. 123 - 143

Published: Jan. 1, 2023

In contemporary educational landscapes, Artificial Intelligence (AI) has emerged as a pivotal tool to promote equity and inclusivity. One of the most significant contributions AI is its ability facilitate personalized learning. Through analysis student's learning patterns, strengths, weaknesses, AI-driven platforms can customize content, ensuring that each student receives instruction tailored their individual needs. This personalization ensures all students, regardless starting point, have an equal opportunity progress excel. paper explores utilization in facilitating equitable environment by analyzing opportunities, challenges, strategies pertinent implementation. comprehensive review current literature case studies, this identifies promising avenues for leveraging bridge gaps while also highlighting potential pitfalls barriers equity. proposes actionable recommendations stakeholders cultivate ecosystem champions through prudent integration technology.

Language: Английский

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Rethinking online assessment strategies: Authenticity versus AI chatbot intervention

Journal of Applied Learning & Teaching, Journal Year: 2023, Volume and Issue: 6(2)

Published: July 3, 2023

As artificial intelligence (AI) and chatbot technologies like ChatGPT continue to evolve, educators grapple with the risks benefits these advances bring online assessment. The democratisation of AI-based technologies, while offering personalised learning experiences, threatens assessment legitimacy academic integrity. This paper critically examines intersection AI chatbots assessments, in context their impact on design authentic assessments. widespread usage has caused serious problems for validity tests because possibility student abuse. underlines need 'authentic assessments' that concentrate higher-order cognitive skills, problem-solving, creative thinking, collaborative talents calls a reevaluation conventional methods. These types assessments not only align evolving pedagogical needs 21st century but also present tasks are significantly challenging replicate, thereby preserving Conversely, explores how can facilitate process by automating certain tasks, providing supporting era presents an opportunity rethink enhance making them more authentic, meaningful, resistant AI-assisted malpractice.

Language: Английский

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Rethinking Digital Borders to Address Jurisdiction and Governance in the Global Digital Economy

International Journal of Law and Policy, Journal Year: 2024, Volume and Issue: 2(1)

Published: Jan. 10, 2024

Digitalization is transforming economic activities, necessitating updated legal and policy frameworks for appropriate jurisdiction governance. The borderless nature of digital trade introduces complexities around applicable laws, taxes, responsibilities, liabilities. This paper reviews current debates on regulating spaces reimagining borders to support equitable Doctrinal comparative analyses examine jurisdictional complexities. Grounded Theory assess regulatory initiatives. Ambiguous enables large platforms circumvent laws. Prescriptive control risks stifling innovation. Blending scope-based rules with effects-based standards can balance openness. Principles-based extraterritorial applications law aligned global accords, demarcating platforms’ responsibilities based risk levels impacts are suggested. It calls cooperation advancing rights fairness.

Language: Английский

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Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

Journal of Sustainability for Energy, Journal Year: 2024, Volume and Issue: 3(1), P. 1 - 20

Published: Feb. 4, 2024

The integration of Artificial Intelligence (AI) into sustainable energy management presents a transformative opportunity to elevate the sustainability, reliability, and efficiency systems. This article conducts an exhaustive analysis critical aspects concerning AI-sustainable nexus, encompassing challenges in technological facilitation intelligent decision-making processes pivotal for frameworks. It is demonstrated that AI applications, ranging from optimization algorithms predictive analytics, possess revolutionary capacity bolster energy. However, this not without its challenges, which span complexities socio-economic impacts. underscores imperative deploying manner transparent, equitable, inclusive. Best practices solutions are proposed navigate these effectively. Additionally, discourse extends recent advancements AI, including edge computing, quantum explainable offering insights evolving landscape Future research directions delineated, emphasizing importance enhancing explainability, mitigating bias, advancing privacy-preserving techniques, examining ramifications, exploring models human-AI collaboration, fortifying security measures, evaluating impact emerging technologies. comprehensive aims inform academics, practitioners, policymakers, guiding creation resilient future.

Language: Английский

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Anticipating impacts: using large-scale scenario-writing to explore diverse implications of generative AI in the news environment

AI and Ethics, Journal Year: 2024, Volume and Issue: unknown

Published: May 27, 2024

Abstract The tremendous rise of generative AI has reached every part society—including the news environment. There are many concerns about individual and societal impact increasing use AI, including issues such as disinformation misinformation, discrimination, promotion social tensions. However, research on anticipating is still in its infancy mostly limited to views technology developers and/or researchers. In this paper, we aim broaden perspective capture expectations three stakeholder groups (news consumers; developers; content creators) potential negative impacts well mitigation strategies address these. Methodologically, apply scenario-writing participatory foresight context a survey (n = 119) delve into cognitively diverse imaginations future. We qualitatively analyze scenarios using thematic analysis systematically map environment, strategies, role stakeholders causing mitigating these impacts. addition, measure respondents' opinions specific strategy, namely transparency obligations suggested Article 52 draft EU Act. compare results across different elaborate expected groups. conclude by discussing usefulness toolbox for assessment.

Language: Английский

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Assessing AI Adoption in Developing Country Academia: A Trust and Privacy-Augmented UTAUT Framework

Heliyon, Journal Year: 2024, Volume and Issue: unknown, P. e37569 - e37569

Published: Sept. 1, 2024

Language: Английский

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Enhancing Communication Networks in the New Era with Artificial Intelligence: Techniques, Applications, and Future Directions

Network, Journal Year: 2025, Volume and Issue: 5(1), P. 1 - 1

Published: Jan. 6, 2025

Artificial intelligence (AI) transforms communication networks by enabling more efficient data management, enhanced security, and optimized performance across diverse environments, from dense urban 5G/6G to expansive IoT cloud-based systems. Motivated the increasing need for reliable, high-speed, secure connectivity, this study explores key AI applications, including traffic prediction, load balancing, intrusion detection, self-organizing network capabilities. Through detailed case studies, I illustrate AI’s effectiveness in managing bandwidth high-density networks, securing devices edge enhancing security communications through real-time anomaly detection. The findings demonstrate substantial impact on creating adaptive, secure, addressing current future challenges. Key directions work include advancing AI-driven resilience, refining predictive models, exploring ethical considerations deployment management.

Language: Английский

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AI narratives in fiction and media: Exploring thematic parallels in public discourse

Technovation, Journal Year: 2025, Volume and Issue: 142, P. 103201 - 103201

Published: Feb. 24, 2025

Language: Английский

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Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Oct. 20, 2023

Ultrasound imaging is commonly used to aid in fetal development. It has the advantage of being real-time, low-cost, non-invasive, and easy use. However, organ detection a challenging task for obstetricians, it depends on several factors, such as position fetus, habitus mother, technique. In addition, image interpretation must be performed by trained healthcare professional who can take into account all relevant clinical factors. Artificial intelligence playing an increasingly important role medical help solve many challenges associated with classification. this paper, we propose deep-learning model automating classification from ultrasound images. We tested dataset images, including two datasets different regions, recorded them machines ensure effective organs. training process labeled annotations organs brain, abdomen, femur, thorax, well maternal cervical part. The was detect these images using deep convolutional neural network architecture. Following process, model, DenseNet169, assessed separate test dataset. results were promising, accuracy 99.84%, which impressive result. F1 score 99.84% AUC 98.95%. Our study showed that proposed outperformed traditional methods relied manual experienced clinicians. also other learning-based architectures strategies. This may contribute development more accessible health services around world improve status mothers their newborns worldwide.

Language: Английский

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Artificial Intelligence in Medicine

Brazilian Journal of Law Technology and Innovation, Journal Year: 2024, Volume and Issue: 2(1), P. 71 - 89

Published: Jan. 30, 2024

The article's theme centers on the ethical and legal challenges inherent in intersection of Artificial Intelligence (AI) Medicine. Avidya, a fundamental concept Buddhism, symbolizes nature reality as blind man navigating with cane, embodying lack profound understanding reality. This analogy is used to illustrate our endeavor transcend mere groping dark, aiming for deeper comprehension that transforms blindness into catalyst enhancing other senses. In this context, AI brings us closer emerging paradigm “4P medicine,” characterized preventive, personalized, predictive, proactive. healthcare sector, AI's potential extends assisting diagnosis, prognosis, formulating public policies, devising targeted treatments based genetic data. central research question explores how develop solutions application Medicine, forward-looking perspective encompasses diverse abstract individual normative directives respective knowledge domains. article delves posed by healthcare, which become apparent only when an interdisciplinary adopted. approach facilitates integration concepts regulations, focusing 'how-to' aspect transcending limitations (avidya) solely analysis. first section addresses legislative initiatives. second discusses new technologies, specific focus healthcare. third unveils emerge from broadening through lens. Given topic's complexity, particularly its sensitive identifies economic hurdles implementing novel technology medicine. methodology theoretical, descriptive, exploratory, utilizing technical bibliographic procedures, including systematic literature review “Web Of Science” platform analysis texts.

Language: Английский

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