Answer is correct Reliability and Safety
1. Fairness: AI systems should be designed and built to avoid unfair bias.
e.g: A facial recognition system should accurately identify people of all ethnicities and genders.
2. Reliability and Safety:AI systems should be reliable and safe.
e.g: Self-driving cars should be designed to operate safely in various road conditions and handle unexpected situations.
3. Privacy and Security: AI systems should be built with privacy and security in mind.
e.g: Protecting user data and preventing unauthorized access to AI models.
4. Inclusiveness: AI systems should be designed for everyone and avoid unintended bias.
e.g: Developing speech recognition systems that accurately recognize a wide range of accents and dialects.
5. Transparency: AI systems should be understandable and explainable.
e.g: Providing clear explanations for decisions made by AI models, such as loan approval or job candidate selection.
6. Accountability: People should be held accountable for the technology they create.
e.g: Establishing clear guidelines for AI development and deployment, including roles and responsibilities.
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