AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems

Asian Journal of Research in Computer Science, Journal Year: 2024, Volume and Issue: 17(3), P. 38 - 56

Published: Jan. 25, 2024

This comprehensive study explores the integration and effectiveness of Artificial Intelligence (AI) in Identity Access Management (IAM) within cloud environments. It primarily focuses on how AI can enhance user authentication, authorization, access control, addressing challenges possibilities computing. The adopts a mixed-methods approach, employing both quantitative qualitative analyses. A survey involving 582 cybersecurity experts provides insights into current state potential IAM, while multiple regression analysis examines impact various factors system effectiveness. Four hypotheses are explored: hardware software configurations accuracy (H1), influence computational environments reliability (H2), role demographic acceptance (H3), effect technological enhancements performance (H4). Findings indicate significant correlations between these IAM. Notably, security concerns accuracy; environment variations affect reliability; acceptance; such as feedback, advancements technology, continuous learning algorithms, transparency improve acceptance. These underscore need for advanced hardware, standardized software, user-centric design, improvement technologies effective IAM actionable recommendations service providers developers, emphasizing importance users development processes, ensuring transparency, adopting adaptive algorithms. Future research directions include longitudinal studies exploring demographic-specific responses to AI-integrated solutions.

Language: Английский

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Social connection as a critical factor for mental and physical health: evidence, trends, challenges, and future implications

World Psychiatry, Journal Year: 2024, Volume and Issue: 23(3), P. 312 - 332

Published: Sept. 16, 2024

Rising concerns about social isolation and loneliness globally have highlighted the need for a greater understanding of their mental physical health implications. Robust evidence documents connection factors as independent predictors health, with some strongest on mortality. Although most data are observational, points to directionality effects, plausible pathways, in cases causal link between later outcomes. Societal trends across several indicators reveal increasing rates those who lack connection, significant portion population reporting loneliness. The scientific study has substantially extended over past two decades, particularly since 2020; however, its relevance mortality remains underappreciated by public. Despite breadth evidence, challenges remain, including common language reconcile diverse relevant terms disciplines, consistent multi‐factorial measurement assess risk, effective solutions prevent mitigate risk. urgency future is underscored potentially longer‐term consequences COVID‐19 pandemic, role digital technologies societal shifts, that could contribute further declines social, health. To reverse these meet challenges, recommendations offered more comprehensively address gaps our understanding, foster

Language: Английский

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AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This comprehensive study explores the integration and effectiveness of Artificial Intelligence (AI) in Identity Access Management (IAM) within cloud environments. It primarily focuses on how AI can enhance user authentication, authorization, access control, addressing challenges possibilities computing. The adopts a mixed-methods approach, employing both quantitative qualitative analyses. A survey involving 582 cybersecurity experts provides insights into current state potential IAM, while multiple regression analysis examines impact various factors system effectiveness. Four hypotheses are explored: hardware software configurations accuracy (H1), influence computational environments reliability (H2), role demographic acceptance (H3), effect technological enhancements performance (H4). Findings indicate significant correlations between these IAM. Notably, security concerns accuracy; environment variations affect reliability; acceptance; such as feedback, advancements technology, continuous learning algorithms, transparency improve acceptance. These underscore need for advanced hardware, standardized software, user-centric design, improvement technologies effective IAM actionable recommendations service providers developers, emphasizing importance users development processes, ensuring transparency, adopting adaptive algorithms. Future research directions include longitudinal studies exploring demographic-specific responses to AI-integrated solutions.

Language: Английский

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The Promise and Perils of China's Regulation of Artificial Intelligence

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

In recent years, China has emerged as a pioneer in formulating some of the world's earliest and most comprehensive rules concerning algorithms, deepfakes, generative artificial intelligence (AI) services. This proactive intervention left impression that stood at forefront global leader regulating AI. Yet this perception put too much emphasis on law paper while overlooking country's intricate institutional dynamics. The Chinese government simultaneously acts policymaker, an investor, supplier, customer regulator AI sector. Given its extensive deep involvement ecosystem, lacks strong commitment to regulate industry. Factors such intense US-China tech rivalry escalating chip embargo firms further diminish government's incentive impose strict regulation. Meanwhile, current downturn economy low market confidence constraints actions. Consequently, despite maintaining information control over public-facing services, China's overall approach regulation been markedly business-friendly. Recent legislative measures, interim measures several local legislations, offer little protective value public. Instead, these laws have primarily served enabler by sending pro-growth signal industry attempting coordinate various stakeholders accelerate technological progress. As evidenced permissive stance abusive use facial recognition technology, regulators favoured light-touch practice. Similarly, courts are trying prop up industry, demonstrated Beijing Internet Court's decision grant copyrights AI-generated image. strategic lenient may therefore short-term competitive advantage their European U.S. counterparts. However, leniency risks creating potential regulatory lags could escalate into AI-induced accidents even disasters. dynamic complexity tactics underscores urgent need for increased international dialogue collaboration with country tackle safety challenges governance.

Language: Английский

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Beyond phase-in: assessing impacts on disinformation of the EU Digital Services Act

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

Published: April 11, 2024

Abstract This work proposes a comprehensive research agenda to empirically evaluate the real-world impacts of European Union’s Digital Services Act (DSA) on combating online disinformation. It provides background DSA’s context, mechanisms, timeline, and expected effects platforms situate need for rigorous impact assessment. A detailed legal, technical, psychological, behavioral ethical critique reveals meaningful gaps in DSA requiring ongoing regulatory refinement oversight. Most critically, paper puts forth an encompassing framework spanning computational analytics, interviews, ethnography, surveys, discourse analysis mixed methods rigorously assess multi-dimensional complex factors enabling disinformation proliferation. Priorities include evaluating notice-and-takedown efficacy, advertising transparency improvements, risk assessment outcomes, oversight integration, procedural shifts platform governance. Coordinated efforts between researchers, regulators are needed address methodological challenges around isolating amidst evolving EU landscape, constrained data access from platforms, difficulties generalizing findings across sociotechnical diversity national contexts Member States.

Language: Английский

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Language-based game theory in the age of artificial intelligence

Published: March 13, 2024

Understanding human behaviour in decision problems and strategic interactions has wide-ranging applications economics, psychology, artificial intelligence. Game theory offers a robust foundation for this understanding, based on the idea that individuals aim to maximize utility function. However, exact factors influencing strategy choices remain elusive. While traditional models try explain as function of outcomes available actions, recent experimental research reveals linguistic content significantly impacts decision-making, thus prompting paradigm shift from outcome-based language-based functions. This is more urgent than ever, given advancement generative AI, which potential support humans making critical decisions through interactions. We propose sentiment analysis fundamental tool take an initial step by analyzing 61 instructions dictator game, economic game capturing balance between self-interest interest others, at core many social Our meta-analysis shows can beyond outcomes. discuss future directions. hope work sets stage novel theoretical approach emphasizes importance language decisions.

Language: Английский

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From recorded to AI‐generated instructional videos: A comparison of learning performance and experience

British Journal of Educational Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Abstract Generative AI (GAI) and AI‐generated content (AIGC) have been increasingly involved in our work daily life, providing a new learning experience for students. This study examines whether instructional videos (AIIV) can facilitate as effectively traditional recorded (RV). We propose an video generation pipeline that includes customized GPT (Generative Pre‐trained Transformer), text‐to‐speech lip synthesis techniques to generate from slides clip or photo of human instructor. Seventy‐six students were randomly assigned learn English words using either AIIV RV, with performance assessed by retention, transfer subjective measures cognitive, emotional, motivational social perspectives. The findings indicate the group performed well RV facilitating learning, showing higher retention but no significant differences transfer. was found offer stronger sense presence. Although other similar between two groups, perceived slightly less favourable. However, still be moderately highly attractive, addressing concerns related uncanny valley effect. research demonstrates AIGC effective tool offering valuable implications use GAI educational settings. Practitioner notes What is already known about this topic Instructional videos, especially those featuring teacher's presence, widely used second language learning. Producing costly burdensome. has great potential generating content. paper adds An (including generated lecture text, voice appearance) demonstrated greater improvement students' word than video. Students satisfaction, motivation, trust, cognitive load, emotions parasocial interaction dimensions, although reported lower values. Despite eliciting significantly value presence video, it led reduction load better performance. Implications practice and/or policy recommend both physical online classes its positive effects on achievement experience. equivalence principle content, highlighting appearance, text current technology reached certain level quality.

Language: Английский

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Automated Propaganda: Labeling AI‐Generated Political Content Should Not be Required by Law

Journal of Applied Philosophy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

ABSTRACT A number of scholars and policy‐makers have raised serious concerns about the impact chatbots generative artificial intelligence (AI) on spread political disinformation. An increasingly popular proposal to address this concern is pass laws that, by requiring that artificially generated disseminated content be labeled as such, aim ensure a degree transparency in rapidly transforming environment. This article argues such are misguided, for two reasons. We first show legally disclosure automated nature bot accounts AI‐generated unlikely succeed improving quality discussion social media. because information an account spreading or creating language model itself politically relevant information, people reason very poorly information. Second, we main motivation these – threat coordinated disinformation campaigns (automated not) appears overstated.

Language: Английский

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The Role of Artificial Intelligence in Transforming Mental Healthcare: Bridging Gaps, Enhancing Accessibility, and Personalizing Interventions

Published: Jan. 1, 2025

Language: Английский

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How to mitigate the risks of deployment of artificial intelligence in medicine?

TURKISH JOURNAL OF MEDICAL SCIENCES, Journal Year: 2024, Volume and Issue: 54(3), P. 483 - 492

Published: June 12, 2024

The aim of this study is to examine the risks associated with use artificial intelligence (AI) in medicine and offer policy suggestions reduce these optimize benefits AI technology. Artificial a multifaceted If harnessed effectively, it has capacity significantly impact future humanity field health, as well several other areas. However, rapid spread technology also raises significant ethical, legal, social issues. This examines potential dangers integration by reviewing current scientific work exploring strategies mitigate risks. Biases data sets for systems can lead inequities health care. Educational that narrowly represented based on demographic group biased results from those who do not belong group. In addition, concepts "explainability" "accountability" could create challenges healthcare professionals understanding evaluating AI-generated diagnoses or treatment recommendations. jeopardize patient safety selection inappropriate treatments. Ensuring security personal information will be critical become more widespread. Therefore, improving privacy protocols imperative. report offers reducing increasing medical sector. These include literacy, implementing participatory "community-in-the-loop" management strategy, creating ongoing education auditing systems. Integrating ethical principles cultural values into design help disparities improve Implementing recommendations ensure efficient equitable medicine, quality services, safety.

Language: Английский

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