Responsible AI refers to the ethical, transparent, and accountable development and deployment of artificial intelligence (AI) technologies. It encompasses a set of principles and practices aimed at ensuring that AI systems are designed and used in ways that align with societal values, respect human rights, and minimize potential harm. The essence of responsible AI lies in its commitment to building AI systems that benefit individuals, society, and the environment, while actively addressing challenges like bias, fairness, privacy, and safety.
Responsible AI involves the careful consideration of the potential impacts of AI technologies on various stakeholders. It encourages the incorporation of ethical considerations into all stages of AI development, from data collection and model training to decision-making and deployment. Transparency, explainability, and accountability are key tenets of responsible AI, ensuring that AI systems can be understood, monitored, and held responsible for their actions.« Back to Glossary Index