👉 Confident computing is an approach to artificial intelligence and machine learning that emphasizes the importance of providing clear, verifiable, and explainable results to users and stakeholders. It aims to ensure that AI systems not only make accurate predictions but also communicate their reasoning and decision-making processes in a transparent and understandable manner. This involves developing methods to quantify the confidence levels of AI models, allowing users to assess the reliability and trustworthiness of the outputs. By fostering a culture of transparency, confident computing seeks to build trust in AI technologies, mitigate risks associated with opaque decision-making, and ensure that AI systems are used responsibly and ethically.
