Choosing an ethical AI framework necessitates careful consideration of your organizational needs and ethical concerns, in order to ensure applicability, compliance, and overall fairness. Here are the steps for assessing and choosing an ethical AI framework:

1. Define Purpose: Understand the key objectives and the use-case scenarios for the AI in your organization. This will help you to establish what ethical issues are most pertinent to your business.

2. Align with Organizational Values: Make sure the ethical AI framework aligns with your organization’s values and principles. It should also be consistent with your company’s corporate social responsibility (CSR) policies.

3. Regulatory Compliance: Depending on your sector (like health, finance, etc.), consider the frameworks that satisfy various regional and sector-specific regulations, such as GDPR for privacy, HIPAA for healthcare, or SOX for finance.

4. Transparency and Explainability: The framework should foster transparency. Users should know when they’re interacting with an AI system. Moreover, it should support explainability – the ability to make AI decision-making understandable to humans.

5. Fairness and Non-Discrimination: Check the frameworks’ approaches to preventing biased decision-making. Ensure rules to avoid unfairness or discrimination are included.

6. Privacy and Security: Privacy protection and data security are fundamental. The chosen framework should have robust guidelines for protecting personal information.

7. Reliability and Safety: The AI should continue to perform reliably under a wide range of conditions, and have a fail-safe mechanism in place to prevent harm.

8. Auditing and Accountability: The AI systems should be auditable, and there must be clear accountability if systems fail or make unethical decisions.

Popular ethical AI frameworks, from organizations like IEEE, O’Reilly, OECD, and Montreal AI Ethics Institute, incorporate these aspects. Each of these frameworks has its strengths, which could be pieced together to create a customized ethical AI guideline suitable for your organization. A blended approach could highlight the strength of each framework, making for a more comprehensive guideline.