This page provides resources on the topic of AI ethics research. AI ethics is a rapidly evolving field that addresses the moral and societal implications of artificial intelligence.
Key Areas of AI Ethics Research
- Privacy and Data Security: The ethical considerations of collecting, storing, and using personal data in AI systems.
- Bias and Fairness: Ensuring that AI systems are free from biases and treat all individuals fairly.
- Autonomy and Responsibility: Determining the roles and responsibilities of AI systems in decision-making processes.
- Safety and Reliability: Ensuring that AI systems operate safely and reliably in their intended environments.
Useful Links
- AI Ethics Guidelines - Explore the guidelines for ethical AI development.
- AI and Society Research Center - Learn more about the intersection of AI and society.
Case Studies
- AI in Healthcare: The use of AI in diagnosing diseases and its ethical implications.
- AI in Transportation: The ethical considerations of autonomous vehicles and their impact on employment.
- AI in Law Enforcement: The ethical use of AI in surveillance and predictive policing.
Images
- AI Ethics
- Data Privacy
- Bias and Fairness
- AI Safety