ArticlePalgo journal of education research2025
HUMAN AND ARTIFICIAL INTELLIGENCE: A REVIEW OF COMPETENCIES, COLLABORATION, AND ETHICAL IMPLICATIONS.
Article in Palgo journal of education research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Cognitive Tunneling in Obstetrics and Gynecology: A Critical Review of Implications for Clinical Practice and Mitigation Strategies.Diseases (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Background: The interaction between artificial intelligence (AI) and humans presents significant opportunities and challenges, influencing industries and societal frameworks in profound ways. AI systems are designed to replicate and enhance cognitive functions such as learning, problem-solving, and decision-making, complementing rather than replacing human abilities. For instance, in healthcare, AI algorithms analyze medical imaging data with remarkable speed and precision, improving diagnostic accuracy. Similarly, AI-driven recommendation engines personalize user experiences on digital platforms, enhancing satisfaction and engagement. Aim: This review aims to explore the competencies of both human and artificial intelligence, their potential for collaboration, and the ethical implications of their integration into various sectors. The goal is to provide insights for shaping future policies, practices, and strategies that balance the strengths of both intelligences while addressing emerging challenges. Methods: The review synthesizes findings from 20 scholarly works published between 2010 and 2024. A qualitative thematic analysis of the literature was conducted, focusing on key areas such as AI ethics, governance, and societal impact. This theoretical approach provides a comprehensive understanding of the interplay between human and AI intelligence and the ethical dimensions involved. Results: The findings reveal that AI significantly augments human capabilities across sectors such as healthcare, education, and the creative industries. However, the rise of AI introduces critical ethical challenges, including bias, fairness, and job displacement. The review highlights the necessity of human oversight and governance to ensure ethical deployment, transparency, and accountability in AI systems. It also emphasizes the importance of developing comprehensive reskilling programs to address workforce disruptions and proposes strategies to mitigate bias in AI algorithms. Conclusions: This review stresses on the need for a collaborative rather than competitive approach between human and artificial intelligence. Identifying key areas where AI can complement human decision-making and creativity, the review provides a balanced exploration of the strengths and limitations of both intelligences. The findings advocate for the adoption of ethical practices and governance frameworks to harness AI's potential responsibly, ensuring its alignment with human values and societal goals.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.