Explainable artificial intelligence in critical decision-making systems
This computer science research paper example, formatted in IEEE style, explores Explainable Artificial Intelligence (XAI) in critical decision-making systems like healthcare, finance, and autonomous vehicles. Written by a professional research paper writer, this IEEE research paper reviews advances in XAI techniques, such as SHAP and LIME, which enhance transparency and interpretability in AI models. It analyzes challenges in balancing performance and explainability while addressing ethical and regulatory concerns. Using real-world case studies, the paper evaluates XAI’s role in building trust and mitigating biases in AI applications. This research paper example is ideal for those studying computer science and AI ethics.
* The sample essays are for browsing purposes only and are not to be submitted as original work to avoid issues with plagiarism.
Academic level:
Undergraduate 3-4
Type of paper:
Research paper
Discipline:
Computer science
Citation:
IEEE
Pages:
4 (1873 words)
Spacing:
Single
* The sample essays are for browsing purposes only and are not to be submitted as original work to avoid issues with plagiarism.