Human-AI Collaboration: Enhancing Decision-Making in Critical Sectors
DOI:
https://doi.org/10.4314/ggb6wr66Keywords:
Human-AI collaboration, Decision-making, Critical sectors, Artificial intelligence, Predictive analyticsAbstract
The integration of Artificial Intelligence (AI) into critical sectors such as healthcare, finance, security, and manufacturing has transformed decision-making processes. Human-AI collaboration leverages the strengths of both human intuition and machine intelligence to enhance accuracy, efficiency, and reliability in decision-making. AI systems provide data-driven insights, predictive analytics, and automation, while human expertise ensures ethical considerations, contextual understanding, and adaptability. This synergy improves risk assessment, crisis management, and strategic planning, ultimately leading to more informed and effective decisions. However, challenges such as trust, transparency, and bias in AI models must be addressed to maximize the benefits of human-AI collaboration. This paper explores the impact, benefits, and challenges of integrating AI with human decision-making across critical sectors.
Downloads
Published
Issue
Section
How to Cite
Most read articles by the same author(s)
- Enefiok Archibong Etuk, Omankwu, Obinnaya Chinecherem Beloved, Spiking Neural Networks (SNNs): A Path towards Brain-Inspired AI , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
Similar Articles
- Anthony Ekpo, A Comparative Analysis of Nutritional Perspectives Among Under-Fives in Akwa Ibom and Bayelsa States in 2022: A Case Study of Randomly Selected Areas , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Paschal O. Iniaghe, Chimere Ezekwe, Per- and Polyfluoroalkyl Substances and Waste Management in Nigeria: A Review , Communication In Physical Sciences: Vol. 13 No. 3 (2026): Volume 13 Issue 3
- Adedayo Toluwanimi Adekola, Chronic Low-Level Lead Exposure and Neurodevelopmental Outcomes in Children: A Narrative Review of Physiological Mechanisms and Public Health Implications , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Ademilola Olowofela Adeleye, Oluwafemi Clement Adeusi, Aminath Bolaji Bello, Israel Ayooluwa Agbo-Adediran, Intelligent Machine Learning Approaches for Data-Driven Cybersecurity and Advanced Protection , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Benjamin Asuquo Effiong, Emmanuel Wilfred Okereke, Chukwuemeka Onwuzuruike Omekara, Chigozie Kelechi Acha, Emmanuel Alphonsus Akpan, A New Family of Smooth Transition Autoregressive (STAR) Models: Properties and Application of its Symmetric Version to Exchange Rates , Communication In Physical Sciences: Vol. 9 No. 3 (2023): VOLUME 9 ISSUE 3
- Taye Temitope Alawode, Molecular Docking Studies on Eudesmane Sesquiterpenes as Potential Anti-leishmanial Agents , Communication In Physical Sciences: Vol. 12 No. 1 (2024): VOLUME 12 ISSUE 1
- Umar Dangoje Musa, Eloayi David Paul, Sani Uba, Nsikan Nwokem, Sani Danladi, Risk Assessment of Selected Metallic Pollutants in Fish from Zuru dam, Kebbi State, Nigeria , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Joy Nnenna Okolo, A Review of Machine and Deep Learning Approaches for Enhancing Cybersecurity and Privacy in the Internet of Devices , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- John Stanley, Samuel Shinginba Alhamdu, Oyeyipo Titilayo Oluwakemi, Solomon James Efkah, Mineral and Heavy Metals Profiling of Avocado Oils from Three Cultivars in Mambila Plateau, Taraba State, Nigeria: Implications for Food Safety and Nutraceutical Use , Communication In Physical Sciences: Vol. 13 No. 1 (2026): VOLUME 13 ISSUE 1
- Gideon Wyasu, Production of Activated carbon derived from Banana peel for the removal of Cd2+ and Cr6+ in Brewery wastewater , Communication In Physical Sciences: Vol. 3 No. 1 (2018): VOLUME 3 ISSUE 1
You may also start an advanced similarity search for this article.



