What is explainable AI? - IBM Explainable AI is used to describe an AI model, its expected impact and potential biases It helps characterize model accuracy, fairness, transparency and outcomes in AI-powered decision making Explainable AI is crucial for an organization in building trust and confidence when putting AI models into production
Apa yang dimaksud dengan Explainable AI? - IBM ² ” Explainable Artificial Intelligence ”, Jaime Zornoza, 15 April 2020 ³ ” Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI ”, ScienceDirect, Juni 2020 ⁴ ” Understanding Explainable AI ”, Ron Schmelzer, Forbes contributor, 23 Juli 2019
설명 가능한 AI(XAI)란 무엇인가요? - IBM ² ” Explainable Artificial Intelligence ”, Jaime Zornoza, 2020년 4월 15일 ³ ” Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI ”, ScienceDirect, 2020년 6월 ⁴ ” Understanding Explainable AI ”, Ron Schmelzer, Forbes contributor, 2019년 7월 23일
What Is Black Box AI and How Does It Work? | IBM White box AI, also called explainable AI (XAI) or glass box AI, is the opposite of black box AI It is an AI system with transparent inner workings Users understand how the AI takes in data, processes it and arrives at a conclusion
What Is AI Interpretability? - IBM Explainable AI (XAI) is used to identify the factors that led to the results Various explainability methods can be used to present the models in ways that make their complex processes and underlying data science clear to a human being using natural language
¿Qué es la IA explicable? - IBM ¹ ” Explainable AI ” The Royal Society 28 de noviembre de 2019 ² ” Explainable Artificial Intelligence ” Jaime Zornoza 15 de abril de 2020 ³ ” Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI ” ScienceDirect Junio de 2020 ⁴ ” Understanding Explainable
How the Titanic helped us think about Explainable AI - IBM Additionally, we wanted to explore all the various facets that must be considered when thinking about rendering an AI model explainable – not just from a tooling perspective but also the user experience that ultimately empowers Three major themes came out of this effort that we wish to share through this blog post: 1
Was ist erklärbare KI (XAI)? | IBM Erklärbare künstliche Intelligenz (Explainable Artificial Intelligence, XAI) bezeichnet zusammenfassend eine Reihe von Prozessen und Methoden, anhand derer menschliche Nutzer die von Algorithmen des maschinellen Lernens erzeugten Ergebnisse und Ausgaben verstehen und ihnen vertrauen können