A systematic review of artificial intelligence impact assessments

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(11), P. 12799 - 12831

Published: March 24, 2023

Abstract Artificial intelligence (AI) is producing highly beneficial impacts in many domains, from transport to healthcare, energy distribution marketing, but it also raises concerns about undesirable ethical and social consequences. AI impact assessments (AI-IAs) are a way of identifying positive negative early on safeguard AI’s benefits avoid its downsides. This article describes the first systematic review these AI-IAs. Working with population 181 documents, authors identified 38 actual AI-IAs subjected them rigorous qualitative analysis regard their purpose, scope, organisational context, expected issues, timeframe, process methods, transparency challenges. The demonstrates some convergence between It shows that field not yet at point full agreement content, structure implementation. suggests best understood as means stimulate reflection discussion concerning consequences ecosystems. Based existing AI-IAs, describe baseline implementing can be implemented by developers vendors used critical yardstick regulators external observers evaluate organisations’ approaches AI.

Language: Английский

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Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions

International Journal of Production Research, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 23

Published: March 13, 2023

Recent years have witnessed increased pressure across the global healthcare system during COVID-19 pandemic. The pandemic shattered existing operations and taught us importance of a resilient sustainable system. Digitisation, specifically adoption Artificial Intelligence (AI) has positively contributed to developing in recent past. To understand how AI contributes building system, this study based on systematic literature review 89 articles extracted from Scopus Web Science databases is conducted. organised around several key themes such as applications, benefits, challenges using technology sector. It observed that wide applications radiology, surgery, medical, research, development Based analysis, research framework proposed an extended Antecedents, Practices, Outcomes (APO) framework. This comprises applications' antecedents, practices, outcomes for Consequently, three propositions are drawn study. Furthermore, our adopted theory, context methodology (TCM) provide future directions, which can be used reference point studies.

Language: Английский

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Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis

F1000Research, Journal Year: 2024, Volume and Issue: 12, P. 1398 - 1398

Published: Jan. 16, 2024

Background As Artificial Intelligence (AI) technologies such as Generative AI (GenAI) have become more common in academic settings, it is necessary to examine how these tools interact with issues of authorship, integrity, and research methodologies. The current landscape lacks cohesive policies guidelines for regulating AI’s role which has prompted discussions among publishers, authors, institutions. Methods This study employs inductive thematic analysis explore publisher regarding AI-assisted authorship work. Our methods involved a two-fold using both traditional unassisted techniques the available from leading publishers other publishing or entities. framework was designed offer multiple perspectives, harnessing strengths pattern recognition while leveraging human expertise nuanced interpretation. results two analyses are combined form final themes. Results findings indicate six overall themes, three were independently identified unassisted, manual software tools. A broad consensus appears that remains paramount use GenAI permissible but must be disclosed. However, increasingly acknowledged their supportive roles, including text generation data analysis. also discusses inherent limitations biases analysis, necessitating rigorous scrutiny by reviewers, editors. Conclusions There growing valuable auxiliary tool research, one comes caveats pertaining accountability, interpretive limitations. used novel supported identify themes emerging policy landscape, underscoring need an informed, flexible approach formulation can adapt rapidly evolving technologies.

Language: Английский

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Research on Artificial-Intelligence-Assisted Medicine: A Survey on Medical Artificial Intelligence

Diagnostics, Journal Year: 2024, Volume and Issue: 14(14), P. 1472 - 1472

Published: July 9, 2024

With the improvement of economic conditions and increase in living standards, people's attention regard to health is also continuously increasing. They are beginning place their hopes on machines, expecting artificial intelligence (AI) provide a more humanized medical environment personalized services, thus greatly expanding supply bridging gap between resource demand. development IoT technology, arrival 5G 6G communication era, enhancement computing capabilities particular, application AI-assisted healthcare have been further promoted. Currently, research field assistance deepening expanding. AI holds immense value has many potential applications institutions, patients, professionals. It ability enhance efficiency, reduce costs, improve quality intelligent service experience for professionals patients. This study elaborates history timelines field, types technologies informatics, opportunities challenges medicine. The combination profound impact human life, improving levels life changing lifestyles.

Language: Английский

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Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(2), P. 831 - 864

Published: Sept. 28, 2022

Language: Английский

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Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic

Micromachines, Journal Year: 2022, Volume and Issue: 13(10), P. 1593 - 1593

Published: Sept. 25, 2022

The COVID-19 pandemic, caused by a new coronavirus, has affected economic and social standards as governments healthcare regulatory agencies throughout the world expressed worry explored harsh preventative measures to counteract disease’s spread intensity. Several academics experts are primarily concerned with halting continuous of unique virus. Social separation, closing borders, avoidance big gatherings, contactless transit, quarantine important methods. Multiple nations employ autonomous, digital, wireless, other promising technologies tackle this coronary pneumonia. This research examines number potential technologies, including unmanned aerial vehicles (UAVs), artificial intelligence (AI), blockchain, deep learning (DL), Internet Things (IoT), edge computing, virtual reality (VR), in an effort mitigate danger COVID-19. Due their ability transport food medical supplies specific location, UAVs currently being utilized innovative method combat illness. intends examine possibilities context pandemic from several angles. offer intriguing options for delivering supplies, spraying disinfectants, broadcasting communications, conducting surveillance, inspecting, screening patients infection. article use drones well advantages disadvantages strict adoption. Finally, challenges, opportunities, future work discussed assist adopting drone technology COVID-19-like diseases.

Language: Английский

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A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 61829 - 61854

Published: Jan. 1, 2023

Over the decades, Artificial Intelligence (AI) and machine learning has become a transformative solution in many sectors, services, technology platforms wide range of applications, such as smart healthcare, financial, political, surveillance systems. In large amount data is generated about diverse aspects our life. Although utilizing AI real-world applications provides numerous opportunities for societies industries, it raises concerns regarding privacy. Data used an system are cleaned, integrated, processed throughout life cycle. Each these stages can introduce unique threats to individual's privacy have impact on ethical processing protection data. this paper, we examine risks different phases cycle review existing privacy-enhancing solutions. We four categories risk, including (i) risk identification, (ii) making inaccurate decision, (iii) non-transparency systems, (iv) non-compliance with regulations best practices. then examined potential each phase, evaluated concerns, reviewed technologies, requirements, process solutions countermeasure risks. also some policies need compliance available AI-based The main contribution survey examining challenges solutions, technology, process, legislation entire phase cycle, open been identified.

Language: Английский

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Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e56306 - e56306

Published: Feb. 19, 2025

Background The integration of artificial intelligence (AI) into health care has become a crucial element in the digital transformation systems worldwide. Despite potential benefits across diverse medical domains, significant barrier to successful adoption AI applications remains prevailing low user trust these technologies. Crucially, this challenge is exacerbated by lack consensus among experts from different disciplines on definition within sector. Objective We aimed provide first consensus-based analysis based an interdisciplinary panel domains. Our findings can be used address problem defining applications, fostering discussion concrete real-world scenarios which humans interact with explicitly. Methods combination framework and 3-step process involving 18 international fields computer science, medicine, philosophy technology, ethics, social sciences. consisted synchronous phase during expert workshop where we discussed notion defined initial important elements guide our analysis, agreed 5 case studies. This was followed 2-step iterative, asynchronous authors further developed, discussed, refined notions respect specific cases. Results identified key contextual factors trust, namely, system’s environment, actors involved, framing factors, analyzed causes effects care. revealed that certain were applicable all cases yet also pointed need for fine-grained, multidisciplinary bridging human-centered technology-centered approaches. While regulatory boundaries technological design features are critical implementation care, ultimately, communication positive lived experiences will at forefront trust. allowed us formulate recommendations future research applications. Conclusions paper advocates more nuanced conceptual understanding context By synthesizing insights commonalities differences studies, establishes foundational basis debates discussions trusting

Language: Английский

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Early health prediction framework using XGBoost ensemble algorithm in intelligent environment

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(S1), P. 1591 - 1615

Published: Aug. 4, 2023

Language: Английский

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Digital technology implementation and impact of artificial intelligence based on bipolar complex fuzzy Schweizer–Sklar power aggregation operators

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 143, P. 110375 - 110375

Published: May 9, 2023

Language: Английский

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