Sorumlu Yapay Zeka
The approach of the implementation of ethical, security and transparency principles in the development and distribution of AI systems.
Responsible AI (Responsible AI) is an approach and framework that transforms abstract principles of artificial intelligence ethics into concrete engineering and corporate processes, providing practical implementation of security, justice, transparency and accountability throughout the development and distribution of systems. When looking for philosophical and principled answers to the question "necessed" of artificial intelligence, the responsible artificial intelligence converts these answers to the question "necessed": making risk assessment prior to model development, controlling bias in education data, using tools that can explain the decisions of the model includes concrete applications such as maintaining audit marks following the behavior of the system and incorporating human surveillance processes in critical decisions.
Responsible artificial intelligence frameworks are often supported by certain governance structures within the company: ethical boards, model cards (standard reports documenting the capabilities, limits and intended usage areas of a model), regular bias tests and red team (red teaming) applications such as testing against model abuse scenarios. Artificial intelligence, especially responsible for institutions using artificial intelligence in high-risk areas such as health, finance, justice and recruitment, has become a strategic requirement for the protection of regulatory compatibility and social trust.
Responsible artificial intelligence frameworks are often supported by certain governance structures within the company: ethical boards, model cards (standard reports documenting the capabilities, limits and intended usage areas of a model), regular bias tests and red team (red teaming) applications such as testing against model abuse scenarios. Artificial intelligence, especially responsible for institutions using artificial intelligence in high-risk areas such as health, finance, justice and recruitment, has become a strategic requirement for the protection of regulatory compatibility and social trust.