Responsible AI, also known as ethical AI or trustworthy AI, refers to the development and deployment of artificial intelligence (AI) systems that prioritize fairness, transparency, accountability, privacy, and social impact. It is an approach that aims to address the potential risks and challenges associated with AI technologies while maximizing their benefits for individuals, organizations, and society as a whole. The rapid advancement of AI technologies has brought about numerous opportunities and benefits across various domains such as healthcare, finance, education, and transportation. However, these advancements also raise concerns about potential biases, discrimination, lack of transparency, and unintended consequences that can arise from AI systems. Responsible AI seeks to mitigate these concerns by integrating ethical considerations into the entire lifecycle of AI development. This involves several key principles and practices: Fairness and Avoidance of Bias: Responsible AI ai...
