A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI
2025-09-03
Summary
The article presents a comprehensive framework for evaluating the ethics and trustworthiness of generative AI technologies, addressing critical issues like bias, privacy violations, and misinformation. It proposes key evaluation criteria such as fairness, transparency, accountability, and safety, while analyzing AI ethics policies across major countries to offer an integrated approach for assessing AI systems throughout their lifecycle.
Why This Matters
As generative AI technologies become increasingly prevalent, ensuring their ethical and trustworthy use is crucial to maintaining public trust and enabling sustainable development. By establishing a structured evaluation framework, the study provides practical guidance to developers, policymakers, and other stakeholders, fostering responsible AI deployment that considers social impacts alongside technical performance.
How You Can Use This Info
Professionals can apply this framework to assess and enhance the ethical standards of AI systems within their organizations, ensuring compliance with global best practices and regulations. By integrating these evaluation criteria into AI development processes, businesses can mitigate risks related to bias, privacy, and misinformation, thereby improving the trust and reliability of their AI-driven products and services.