Comparison of Ethical AI Frameworks in Real Time Decision-Making Scenarios
Dr. T. Charan Singh, B Rajasri, S Anitha
This study presents a comparative analysis of ethical AI frameworks within the context of real-time
decision-making systems. As AI technologies increasingly influence critical domains such as autonomous
vehicles, healthcare, finance, and smart cities, the need for robust ethical guidelines becomes paramount.
We evaluated five prominent ethical AI frameworks—IEEE Global Initiative, EU AI Ethics Guidelines,
AI Now Institute, ACM Code of Ethics, and OpenAI Charter—across key ethical dimensions: fairness,
accountability, transparency, and explainability. The analysis utilized hypothetical numerical scores to
assess the frameworks' effectiveness in addressing ethical challenges inherent to real-time applications.
The results indicate that while frameworks like the IEEE Global Initiative and EU AI Ethics Guidelines
perform well across various domains, each framework exhibits unique strengths and limitations. The
OpenAI Charter, in particular, stands out for its high scores in explainability and transparency. These
findings underscore the necessity of tailoring ethical guidelines to specific real-time applications to
ensure equitable, transparent, and accountable AI systems.
