AI ethics is concerned with considering and assessing the moral issues and consequences of artificial intelligence (AI). As AI technologies are increasingly used in various aspects of daily life, it is crucial to develop ethical standards to ensure that AI acts responsibly, fairly and in accordance with human values.
Key issues in AI ethics:
Transparency and explainability: the need to make AI models and decisions transparent and understandable to promote understanding and trust.
Fairness and justice: The avoidance of discrimination and injustice in the development and application of AI systems, especially with regard to gender, ethnic or social bias.
Privacy: Protecting personal data and ensuring that AI applications respect and protect privacy.
Responsibility and accountability: The clear assignment of responsibilities for AI decisions and the possibility of review and accountability for undesirable outcomes.
Security: The development of robust and secure AI systems to prevent misuse, hacking or unintentional harm.
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